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. 2026 Mar 2;21(4):588–597. doi: 10.1038/s41565-026-02135-y

Single atoms of indium on hafnia enable superior CO2-based methanol synthesis

Yung-Tai Chiang 1,2, Milica Ritopecki 3,4, Patrik O Willi 1,2, Katja Raue 2,5, Jordi Morales-Vidal 3, Tangsheng Zou 1,2, Mikhail Agrachev 2,5, Henrik Eliasson 6, Jianyang Wang 1,2, Rolf Erni 6, Wendelin J Stark 1,2, Gunnar Jeschke 2,5, Robert N Grass 1,2, Núria López 3, Sharon Mitchell 1,2, Javier Pérez-Ramírez 1,2,✉
PMCID: PMC13652736  PMID: 41772192

Abstract

Indium–zirconium oxides rank among the most selective and stable catalysts for CO2 hydrogenation to methanol. Yet, despite extensive research, the mechanistic origin of the exceptional role of monoclinic zirconia remains unresolved and continues to set the benchmark in the field. Here we show that monoclinic hafnia, a wide-bandgap oxide rarely explored in catalysis, can outperform this benchmark. Nanostructured indium–hafnium oxides synthesized via flame spray pyrolysis achieve up to 70% higher indium-specific methanol productivity than indium–zirconium oxides, with the largest gains observed for single atoms of indium. Experimental and theoretical analyses reveal that a combination of stable monoclinic support surfaces, flexible chemical potential of indium single atoms and the presence of a cooperative hydride–proton reservoir collectively enhance CO2 activation and intermediate hydrogenation. Crucially, the precise control of surface hydroxylation is required. These findings establish a new benchmark for green methanol synthesis and provide generalizable design principles for next-generation oxide supports in single-atom catalysis.

Subject terms: Heterogeneous catalysis, Materials for energy and catalysis, Nanoscale materials, Catalytic mechanisms, Structural properties


Monoclinic HfO2 stabilizes hydroxylated indium atoms that drive efficient CO2 hydrogenation to methanol, offering a general strategy for coupling single-atom catalysis with reducible metal oxides and wide-bandgap dielectric supports.

Main

Green methanol synthesis via CO2 hydrogenation is a key technological pillar towards net-zero chemical and fuel production1,2. Copper-based syngas-to-methanol catalysts exhibit high activity, but suffer from modest methanol selectivity and irreversible deactivation by water3,4. By contrast, indium oxide (In2O3)-based systems have emerged as selective and stable alternatives4–6, with activity linked to anisotropic oxygen-vacancy formation in partially reduced InOx clusters7–10. Supporting In2O3 on oxides improves stability by preventing over-reduction and sintering4,9–12. In particular, impregnating In2O3 (~5 wt%) on monoclinic zirconia (m-ZrO2) increases indium-specific methanol space–time yields (STY) 17-fold versus bulk In2O3, whereas tetragonal zirconia (t-ZrO2) achieves only a 9-fold boost4,13–15. Proposed explanations include enhanced oxygen vacancy generation11,13–15, interfacial lattice strain13,16 and electronic interactions11,14,17. Theory also suggests that cooperative hydride–proton stabilization, akin to frustrated Lewis pairs18,19, is required for methanol formation. Yet, the mechanistic origin of the unique promotional effect of m-ZrO2 remains unresolved, and no alternative support has matched its performance in over a decade4.

Guided by this, we hypothesized that effective supports should combine (1) a stable monoclinic lattice, (2) a wide bandgap to stabilize the charged hydrogen species and (3) the ability to stabilize low-valence In species associated with oxygen vacancies. A survey of the Materials Project database identified hafnium oxide (HfO2) as the only practical, non-toxic support satisfying these criteria (Supplementary Table 1)20. HfO2 typically crystallizes in the same monoclinic baddeleyite structure as ZrO2 due to closely matching ionic radii (0.76 Å versus 0.78 Å), valency (6s25d2 versus 5s24d2), and Pauling electronegativity (1.30 versus 1.33) of Hf and Zr (refs. 21,22). Its wide bandgap and high dielectric constant make it a leading high-κ dielectric in semiconductor and ferroelectric devices23,24, but these same properties have contributed to the perception of catalytic inertness, with prior studies limited to acid–base chemistry25,26. To evaluate its potential, we prepared indium–hafnium oxides (InHfOx) with distinct nanostructures by varying the In2O3 content, harnessing flame spray pyrolysis (FSP) to enhance the dispersion of supported metal species and oxygen-vacancy formation15,27,28. Strikingly, InHfOx outperforms indium–zirconium oxides (InZrOx) across all nanostructures, enabled by the structural and electronic stability of HfO2. Our findings show that stabilizing indium single atoms on HfO2 is crucial to unlocking its exceptional promotional effect, validated through experimental and theoretical analyses.

Nanostructured InHfOx unlocks superior CO2 hydrogenation performance

We prepared a series of nanostructured InHfOx catalysts (1–10 wt% of In2O3, indicated as a prefix where relevant) via FSP. This compositional range enabled the evaluation of interactions between distinct InOx nanostructures and the HfO2 support, and the impact on CO2 hydrogenation performance (Fig. 1a). Inductively coupled plasma optical emission spectroscopy confirms that the measured compositions closely match the nominal values (Supplementary Table 2). Under CO2 hydrogenation conditions (T = 553 K, P = 5 MPa, GHSV = 24,000 cm3 h−1 gcat−1, H2/CO2 = 4), InHfOx catalysts consistently outperform benchmark InZrOx across all In2O3 contents (Fig. 1b and Supplementary Table 3). The highest indium-specific STY of 9.3 gMeOH h−1 gIn−1 occurs at 2 wt% of In2O3, representing a 70% improvement over InZrOx, and exceeding all previously reported supported In2O3 catalysts (Supplementary Fig. 1 and Supplementary Table 4)15,29. This enhancement reaches up to 66% per gram of catalyst, and ~2–3 times per unit surface area, highlighting the superior intrinsic reactivity of the In−O−Hf interface (Supplementary Fig. 2). The optimal catalyst demonstrates stable performance over 150 h (Supplementary Fig. 3), and resists CO poisoning under hybrid CO/CO2 feeds (up to 1:1; Supplementary Fig. 4).

Fig. 1. CO2 hydrogenation performance of InHfOx and InZrOx catalysts.

Fig. 1

a, Approach to elucidate structure–performance relations in InHfOx catalysts by varying In2O3 content via FSP, focusing on InOx and support structures, and their interfacial interaction. b–d, Methanol STY (b), CO2 conversion XCO2 (c) and methanol selectivity SMeOH (d) over InHfOx and InZrOx catalysts with varying In2O3 content. Reaction conditions: T = 553 K, P = 50 bar, H2/CO2 = 4, GHSV = 24,000 cm3 h−1 gcat−1, tos = 20 h. The reference catalysts in b include In2O3/HfO2,WI and InHfOx,CP, prepared by wet impregnation of HfO2(P) and coprecipitation, respectively, and In2O3/HfO2(FSP),WI, obtained by wet impregnation of HfO2(FSP). The highlighted area shows the difference in promotional effect between the InHfOx and InZrOx systems. In d, GHSV was varied between 24,000 and 48,000 cm3 h−1 gcat−1 to achieve a constant CO2 conversion. c,d, Bars show mean values from repeated measurements (n = 3); error bars indicate the standard deviation. Individual data points are overlaid as dots.

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Unlike InZrOx, which shows limited sensitivity to In2O3 content (1–5 wt%), InHfOx exhibits strong compositional dependence (Fig. 1c,d). At low In2O3 content (2 wt%), the improved STY of InHfOx arises from both higher CO2 conversion (~5% versus 3%) and methanol selectivity (57% versus 35%); however, at higher In2O3 contents (5–10 wt%), improvements are driven primarily by higher methanol selectivity (80% versus 60%). At 10 wt% of In2O3, performance converges with InZrOx, indicating a shift towards the dominance of bulk In−O−In motifs.

Kinetic analyses show lower apparent activation energies (Ea,app) for methanol formation versus CO formation over InHfOx catalysts, highlighting preferential methanol synthesis pathways (Supplementary Fig. 5). By contrast, 2InZrOx favours CO formation via the reverse water–gas shift (RWGS), consistent with prior reports30,31. These findings suggest that the In−O−Hf interface steers reaction energetics, prompting structural and mechanistic investigations into unveiling the architecture governing InHfOx performance.

Interfacial architecture and support structure of InHfOx

To probe changes in support structures and indium speciation with In2O3 content, all catalysts were characterized in fresh and equilibrated (after 20 h of use in CO2 hydrogenation) forms. X-ray diffraction analysis (XRD) reveals that at low In2O3 content, the support structure is dominated by monoclinic hafnia (m-HfO2), with increasing tetragonal (t) or cubic (c) fractions at higher In2O3 content (Fig. 2a,b). Overlapping reflections hinder the precise quantification of these secondary phases32,33. The formation of these polymorphs is probably due to the rapid quenching rate during FSP15,27, as they are absent in materials synthesized via other routes (as shown below). Compared with equilibrated InZrOx catalysts, InHfOx consistently exhibits a higher monoclinic fraction (Supplementary Fig. 6), consistent with density functional theory (DFT) Perdew–Burke–Ernzerhof (PBE) simulations, indicating a higher intrinsic stability of m-HfO2 (ΔHf = 0.17 eV f.u.−1) relative to m-ZrO2 (0.11 eV f.u.−1; Supplementary Note 1, Supplementary Fig. 7 and Supplementary Table 5). Indium incorporation with simultaneous oxygen-vacancy formation stabilizes the cubic and tetragonal phases of HfO2 and ZrO2 (Supplementary Fig. 8). The absence of shifts in the measured support reflections indicates a minimal bulk incorporation of indium (Supplementary Fig. 9)27, consistent with the DFT predictions that such incorporation into m-HfO2 is strongly endothermic (>2 eV), even when oxygen vacancy formation is considered.

Fig. 2. Bulk and surface structures of InHfOx catalysts.

Fig. 2

a–c, XRD patterns (a), derived phase composition and specific surface areas (b) and Raman spectra (c) of selected fresh (purple lines) and equilibrated (after 20 h CO2 hydrogenation, grey lines) catalysts, identifying the presence of monoclinic and tetragonal or cubic HfO2 as bulk crystalline phases, whereas exclusively, the monoclinic lattice is observed at the surface except at high In2O3 content. d, High-angle annular dark-field STEM images and representative elemental maps of fresh InHfOx catalysts and 2InHfOx after 150 h of CO2 hydrogenation. The indicated scale values apply to all images in the same row. Reaction conditions in a–c are the same as those in Fig. 1.

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Raman spectroscopy (325-nm excitation) confirms dominant m-HfO2 surface modes (A1g + B1g = 136 cm−1, Ag = 502 cm−1) in fresh and equilibrated InHfOx at low In2O3 content (Fig. 2c)34,35, which weaken at higher contents as broad features characteristic of c-HfO2 emerge, consistent with previous reports on heterovalent-doped c-HfO2 (ref. 32). InZrOx systems undergo tetragonal-to-monoclinic surface transformation, leaving a minor residual tetragonal fraction (Supplementary Fig. 10), similar to previous reports15,31. Thus, InHfOx retains a higher monoclinic character both at the surface and in the bulk, consistent with the higher monoclinic-to-tetragonal transition temperature of HfO2 than ZrO2 (~500 K)22,36.

Aberration-corrected high-angle annular dark-field scanning transmission electron microscopy (STEM) imaging and energy-dispersive X-ray (EDX) spectroscopy mapping reveal a clear nanoscale resemblance between 2InHfOx and 2InZrOx, exhibiting lattice fringes of the monoclinic supports (Extended Data Fig. 1). For 2InZrOx, isolated indium atoms are directly visible, whereas the detection of In atoms is more challenging for 2InHfOx due to the high atomic number of Hf; however, EDX maps confirm the high dispersion of indium species and absence of sintering after 150 h on stream (Fig. 2d). Increasing the In2O3 content induces a progression from single atoms to InOx patches and ultimately nanoparticles in 5InHfOx and 10InHfOx catalysts, paralleling the behaviour in InZrOx (Supplementary Fig. 11).

Extended Data Fig. 1. Nanostructures of 2InHfOx and 2InHfOx catalysts.

Extended Data Fig. 1

Representative HAADF-STEM images (left) and corresponding EDS elemental maps (right) of fresh 2InHfOx and 2InZrOx catalysts, highlighting the observation of the monoclinic lattice and the uniform high dispersion of indium across both catalysts.

This speciation trend reflects strong interfacial interaction between InOx and m-HfO2, enabling epitaxial growth similar to recent reports on m-ZrO2 supports and electronic coupling11–14,16, as suggested by X-ray absorption near-edge structure spectra (Supplementary Fig. 12). The oxidic state of indium is maintained over HfO2, which promotes the formation of atomically dispersed active sites10–12. At low In2O3 content, the system achieves the highest indium utilization among supported In2O3 catalysts (Supplementary Fig. 1).

Theoretical description of single-atom InOx sites

Although HfO2 and ZrO2 share structural similarity, the superior performance of indium single atoms on HfO2 underscores the need to resolve the atomic-level interactions in InHfOx. We, therefore, conducted DFT-PBE simulations to map the energetics governing the formation and associated catalytic behaviour of indium single atoms on HfO2 and ZrO2 polymorphs, comparing substitutional incorporation and surface anchoring (Supplementary Note 1 and Supplementary Figs. 13–15). Substitution is energetically more favourable when indium replaces Hf or Zr cations, accompanied by the formation of a neighbouring oxygen vacancy (Fig. 3, Extended Data Fig. 2 and Supplementary Figs. 16 and 17), particularly in the tetragonal phase. This agrees with the experimentally observed enrichment of the tetragonal polymorph at higher In2O3 contents, especially for InZrOx. Across all configurations, the surface segregation of indium is preferred over bulk incorporation, with a stronger driving force on HfO2 than ZrO2 (ΔEseg = 0.41 eV; Supplementary Fig. 18). This implies fewer inactive bulk-incorporated indium species in HfO2, consistent with X-ray photoelectron spectroscopy (XPS) analysis evidencing slightly higher indium surface concentration in 2InHfOx compared with 2InZrOx (Supplementary Table 6).

Fig. 3. Stabilization of atomically dispersed InOx sites on monoclinic supports.

Fig. 3

a, Schematic of DFT-PBE structures of the lowest-energy configurations containing single indium atom species substituted into the support surface (Insub) or adsorbed as In(OH)3 adatoms (Inads) with (In-VO) or without (In) an oxygen vacancy (dashed circle) in monoclinic HfO2 and ZrO2. Colour code of DFT models: Hf, blue; Zr, green; In, red; O, pink. b, Corresponding potential energy (E) values of the systems shown in a.

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Extended Data Fig. 2. Stabilization of atomically dispersed InOx on tetragonal supports.

Extended Data Fig. 2

a, Schematic DFT-PBE structures of the lowest-energy configurations containing single-atom indium species substituted into the support surface (Insub) or adsorbed as In(OH)3 adatoms with (In-VO) or without (In) an oxygen vacancy (positions indicated by white circle) in tetragonal HfO2 and ZrO2. Colour code of DFT models: Hf - blue; Zr – green; In - red; O - pink. b, Corresponding potential energy (E) values of the systems shown in a.

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Surface-anchored, partially oxyhydroxylated InOx(OH)y adatoms (x + y < 3) are thermodynamically favoured, with In(OH)3 being the most stable configuration (–1.5 eV on m-HfO2 versus −1.3 eV on m-ZrO2 relative to In, H2 and H2O) (Fig. 3, Extended Data Fig. 2 and Supplementary Figs. 19 and 20). Aggregation of these species is endothermic by ~2 eV, demonstrating that isolated single atoms are intrinsically favoured (Supplementary Table 7). By contrast, the adsorption of bare indium atoms is endothermic (by 1.2–1.3 eV), underscoring the role of hydroxylation in stabilizing isolated species. Oxygen removal from surface-anchored In(OH)3 to form In(OH)2 and a hydroxyl on the support surface is energetically accessible (approximately –0.58 eV), indicating flexible indium coordination environments (Supplementary Note 1 and Supplementary Fig. 21). Ab initio thermodynamics shows that In(OH)3 species adjacent to a single oxygen vacancy are the most stable under CO2 hydrogenation conditions (Supplementary Figs. 22–26). These isolated oxyhydroxylated indium species represent the preferred architecture on both supports, though their stability depends on the support polymorph and oxygen vacancy configuration.

Synthesis-dependent reducibility and local environments

To assess the influence of the synthesis approach on the exceptional performance of InHfOx we prepared 2 wt% of In2O3 reference catalysts via coprecipitation (InHfOx,CP) and wet impregnation of HfO2(P), synthesized by precipitation (In2O3/HfO2(P),WI; Supplementary Table 2). Both catalysts showed negligible activity (Fig. 1b), hinting that flame-synthesized materials possess distinct surface properties. To determine whether this effect arises from the support or the mixed indium–hafnium oxide, we prepared a third reference via wet impregnation of the indium precursor onto FSP-derived HfO2(FSP) (In2O3/HfO2(FSP),WI), which exhibited improved, but still lower, performance (~25% methanol STY of 2InHfOx). This confirms that the direct flame synthesis of the mixed oxide is required to fully unlock superior performance.

XRD and Raman measurements show predominantly monoclinic HfO2 for all reference catalysts (Extended Data Fig. 3), implying that the monoclinic phase alone is insufficient for high performance. STEM-EDX mapping confirms the presence of atomically dispersed indium species in all catalysts (Supplementary Figs. 27 and 28), and comparable specific surface area and In K-edge X-ray absorption near-edge structure spectra (Supplementary Fig. 29) exclude the aggregation of InOx and over-reduction to the metallic phase as the determining factors. Instead, these observations suggest that the local coordination environment of surface InOx species is synthesis dependent and controls reactivity.

Extended Data Fig. 3. Bulk and surface structure of reference catalysts.

Extended Data Fig. 3

a, XRD patterns b, Derived phase composition and specific surface areas, and c, Raman spectra of In2O3/HfO2(P),WI, InHfOx,CP, and In2O3/HfO2(FSP),WI catalysts in fresh (purple lines) and equilibrated (dark grey lines) forms. In (a), the profiles of the respective supports are indicated by light grey lines. The crystalline structures of the catalysts largely resemble those of the pure supports, while the surface only exhibits the monoclinic phase in all cases. Reaction conditions as indicated in Fig. 1.

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We, therefore, examined CO2 and H2 activation, as the initial steps of CO2 hydrogenation5,14,31. All catalysts exhibit comparable H2–D2 exchange temperatures (Texc), suggesting similar H2 activation capability (Supplementary Fig. 30). By contrast, CO2 chemisorption varies substantially: 2InHfOx displays strong CO2 uptake, whereas In2O3/HfO2(P),WI and InHfOx,CP show negligible adsorption (Extended Data Fig. 4a). Temperature-programmed reduction of H2 (H2-TPR) reveals a broad reduction feature in 2InHfOx starting at ~400 K (Fig. 4a), characteristic of oxygen vacancies associated with confined InOx species29,30,37. These signals are weaker or absent in the reference catalysts, indicating lower reducibility.

Extended Data Fig. 4. Synthesis-dependent hydroxyl group density in InHfOx catalysts.

Extended Data Fig. 4

a, Indium-specific methanol STY as a function of volumetric CO2 uptake over 2InHfOx, In2O3/HfO2(FSP),WI, InHfOx, CP, In2O3/HfO2,WI, and 2InZrOx catalysts. b, Corresponding ex-situ DRIFT spectra of the hydroxyl region of the catalysts. c, D2/OH exchange analysis of HfO2 supports prepared by flame spray pyrolysis and precipitation, respectively. d, Normalized density of surface OH groups on the supports estimated from the HD peak area in D2/OH exchange experiments.

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Fig. 4. Impact of synthesis approach on CO2 adsorption.

Fig. 4

a,b, H2-TPR profiles (a) and CO2-TPD profiles (b) of 2InHfOx and reference catalysts, highlighting the lower extent of chemisorbed CO2 on catalysts in which HfO2 was prepared by precipitation routes. The grey dashed lines indicate the respective profiles of the HfO2 supports. c, DFT-PBE-simulated CO2 adsorption energies on oxygen-defficient In(OH)3-m-HfO2 (indium adatoms anchored on the support surface) and In@m-HfO2 (indium atoms substituted in the support lattice) models, illustrating how surface hydroxylation impacts the CO2 adsorption strength.

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Temperature-programmed desorption of CO2 (CO2-TPD) confirms two desorption features (at 380 K and 760 K), assigned to CO2 chemisorbed on hydroxyl groups and oxygen vacancies, respectively4,29,38–40. Both features are diminished in reference systems (Fig. 4b), suggesting reduced oxygen-vacancy density and surface basicity. In situ diffuse-reflectance infrared Fourier transform spectroscopy (DRIFTS) reveals intense OH-stretching bands (2,500–3,700 cm−1) in flame-made catalysts, which are notably weaker in the reference materials (Extended Data Fig. 4b)41,42. Given that the CO2-TPD profiles of binary oxides resemble those of bare HfO2 supports, these observations indicate that surface hydroxylation plays a critical role in CO2 activation. Hydrogen–deuterium (H–D) exchange experiments further demonstrate a threefold higher surface OH density in HfO2(FSP) versus HfO2(P) (Extended Data Fig. 4c,d), corroborated by increased hydroxylated oxygen species observed in the XPS profiles (Supplementary Fig. 31). Finally, NH3-TPD analysis reveals a higher density of Lewis acidic sites in reference catalysts (Supplementary Fig. 32), resulting in a competitive inhibition of CO2 activation.

DFT simulations corroborate these observations: CO2 adsorption is 1.23 eV more exothermic on hydroxylated indium adatoms than on substitutional indium sites (Fig. 4c). Accordingly, hydroxylated indium adatoms are taken to best represent FSP-derived 2InHfOx, whereas substitutional models better describe InHfOx,CP and In2O3/HfO2(P),WI. These differences originate from distinct thermal histories. In FSP, the mismatch in melting points between In2O3 (2,180 K) and HfO2 (3,031 K) or ZrO2 (2,988 K), combined with high flame temperatures (2,500–3,000 K) and rapid quenching in air, promotes independent nucleation and anchoring of hydroxylated indium species on the support surface. By contrast, the absence of hydroxyl groups on the surface of precipitated HfO2 due to the high calcination temperature (973 K) precludes the formation of hydroxylated indium species. To confirm whether surface hydroxylation, and not another aspect of the FSP synthesis, is the key factor, we accessed monoclinic HfO2 via controlled hydrothermal treatment followed by calcination at a lower temperature (673 K). The resulting In2O3/HfO2(H),WI catalyst retains surface hydroxyls and matches the methanol productivity of 2InHfOx (Supplementary Fig. 33), demonstrating that a hydroxylated surface, not the synthesis method, is decisive for high performance.

Electronic structure and oxygen-vacancy formation

Although surface hydroxylation explains the synthesis-dependent performance, it does not fully account for the superior performance of 2InHfOx over 2InZrOx. In particular, H2-TPR profiles show broader and more complex reduction features for indium single atoms anchored on HfO2 (~400–800 K; Extended Data Fig. 5) than on ZrO2, suggesting differences in oxygen-vacancy chemistry. These are paralleled by wider CO2-TPD peaks at ~760 K. In situ X-ray absorption spectroscopy (XAS) at the In K-edge evidences a decrease in the oxidation state of indium in both systems during thermal treatment in He, attributed to oxygen-vacancy formation (Fig. 5a and Supplementary Fig. 36)31,43. On subsequent CO2 hydrogenation (CO2 + H2), 2InHfOx maintains a stable oxidation state, whereas 2InZrOx undergoes further reduction, indicating a greater redox stability of indium on HfO2. Consistently, indium remains highly oxidized in InHfOx following sequential treatment under more reducing conditions (H2 + He), whereas the white-line intensity of 2InZrOx was further reduced. Extended X-ray absorption fine structure spectra confirm indium remains atomically dispersed in both catalysts throughout all treatments (Supplementary Fig. 37).

Extended Data Fig. 5. Catalyst reducibility and hydrogen storage ability.

Extended Data Fig. 5

a,b, H2-TPR profiles of InHfOx (a) and InZrOx (b) catalysts prepared by FSP, with the pure oxide supports serving as references. c, H2-TPR coupled to mass spectrometry profile and d, H2-TPD profile of HfO2(FSP), confirming its capacity for hydrogen uptake and release.

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Fig. 5. Oxygen-vacancy formation and electronic structure.

Fig. 5

a, Evolution of In K-edge X-ray absorption near-edge structure spectra of 2InHfOx under He (553 K, 1.5 MPa), CO2 + H2 (553 K, 15 bar, H2/CO2 = 4) and He + H2 (553 K, 15 bar, H2/He = 4). b, In situ EPR spectra of fresh 2InHfOx and after treatment in He (553 K, 10 bar), H2 (553 K, 10 bar), CO2 (553 K, 10 bar) and CO2 + H2 (553 K, 10 bar, H2/CO2 = 4). c, DFT-derived oxygen-vacancy formation energies on m-HfO2 and m-ZrO2, comparing the EPR active (M3+-VO●) and EPR silent (M4+-VO●●) ensembles. Values in black and grey were obtained with the HSE-13 and PBE density functionals, respectively. d, Total DOS for pristine and oxygen-deficient m-HfO2 (−111) surfaces computed at the PBE level. The DOS are aligned with respect to the valence band of the pristine system. e,f, XPS core-level spectra of Hf4f (e) and In3d (f) of 2InHfOx catalysts in fresh and equilibrated forms. g,h, DR UV–vis absorption spectra of 2InHfOx and HfOx-FSP (g) and the corresponding Tauc plots used to derive the bandgaps (h).

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Electron paramagnetic resonance spectroscopy (EPR) further highlights the difference in oxygen-vacancy chemistry (Supplementary Table 8). Only an isotropic signal from EPR-silent trapped electrons at the colour centres (giso = 2.004, VO●) is detected in fresh 2InHfOx, whereas 2InZrOx exhibits an additional broad ferromagnetic feature associated with the formation of coupled oxygen vacancies (Fig. 5b and Supplementary Figs. 38 and 39). Under CO2, H2 and CO2 + H2 treatments, the spectra of 2InHfOx remain largely unchanged, suggesting the limited formation of paramagnetic vacancies and a high stability of indium atoms. Comparatively, 2InZrOx undergoes dynamic interconversion between VO●, Zr3+ (gxx = gyy = 1.98, gzz = 1.96) and superoxide species (O2●−, gzz = 2.035, gyy = 2.01, gxx = 2.002), evidencing an increased formation of redox-active coupled vacancies under reducing conditions (Supplementary Table 9 and Supplementary Note 3)15,31. This contrast is unexpected, as the broader H2-TPR reduction peaks and the lower indium-associated oxygen-vacancy formation energies predicted by DFT suggest that vacancies should also form in 2InHfOx. The absence of observable paramagnetic signals may indicate a distinct vacancy character, involving diamagnetic defects localized near indium centres, rather than the coupled paramagnetic states in 2InZrOx. Moreover, the higher atomic number of Hf could facilitate a strong spin–orbit coupling, broadening the magnetic responses of unpaired electrons and rendering such vacancies undetectable by EPR44.

DFT (HSE-13) simulations explain this behaviour. In HfO2, diamagnetic Hf4+-VO●● configurations are preferred by 0.09 eV over EPR-active Hf3+-VO● (0.07 eV with PBE; Fig. 5c,d), whereas in ZrO2, the trend is reversed. This suggests that oxygen vacancies in InHfOx may localize electrons in a way that maintains indium in higher oxidation states, echoing in situ XAS results. This aligns with XPS analysis, which substantiates positive binding energy shifts on In3d and Hf4f after a reaction in 2InHfOx (Fig. 5e,f), but not in 2InZrOx (Supplementary Fig. 40), or in InHfOx catalysts with a higher In2O3 content (Supplementary Fig. 41). Interestingly, when catalysts are exposed to air after in situ EPR experiments, we observe stronger signals associated with O2●− radicals for 2InHfOx than for 2InZrOx (~1.5-fold higher), reflecting higher concentrations of reactive electrons localized in oxygen vacancies (Supplementary Fig. 42).

The difference in vacancy energetics influences the band structure. Diffuse-reflectance ultraviolet–visible (DR UV–vis) absorption analysis reveals shallow defect states near the HfO2 conduction band (Fig. 5g,h), aligned with the density of states (DOS) calculations that attribute these features to electrons confined in oxygen vacancies (Fig. 5d). Experimentally, both 2InHfOx and HfO2(FSP) exhibit an absorption signal near the band edge (~250 nm), echoing the DFT results45–47. In particular, introducing indium causes a bathochromic shift in the absorption edge, partially overlapping with the energy level of oxygen vacancies and effectively narrowing the bandgap (Supplementary Fig. 43)15. This overlap facilitates electronic transitions and strengthens coupling between vacancies and hybridized atoms. As further evidence, 5InHfOx, which has a narrower bandgap than 2InHfOx, shows no EPR signal for isolated electrons, indicating that electrons are largely localized among different orbitals or exist as exchange-coupled magnetic polarons (Supplementary Fig. 44). By contrast, in ZrO2-based systems, oxygen-vacancy states lie far away from the conduction band, limiting electronic interactions with nearby atoms (Supplementary Fig. 45).

Dynamics and stabilization of reaction intermediates

To investigate the origin of the high reactivity of 2InHfOx, we computed the reaction energy profiles for CO2 hydrogenation to methanol via the formate pathway and the competing RWGS reaction (Fig. 6a, Supplementary Note 3 and Supplementary Figs. 46–49)7,27,48. Simulations were performed for hydroxylated indium single atoms anchored on m-HfO2 and m-ZrO2 (denoted as In(OH)3-m-HfO2 and In(OH)3-m-ZrO2, respectively) incorporating an oxygen vacancy in the indium coordination sphere, representing the corresponding active structure of 2InHfOx and 2InZrOx. Additional models included In(OH)3-t-ZrO2 and lattice-substituted In@HfO2 corresponding to reference catalysts (Supplementary Fig. 50).

Fig. 6. Kinetic and mechanistic analyses.

Fig. 6

a, Gibbs free energy (G) profile for reaction paths for CO2 hydrogenation to CH3OH and RWGS on the In(OH)3-m-HfO2, In(OH)3-m-ZrO2 and In(OH)3-t-ZrO2 model surfaces with one oxygen vacancy computed with PBE. TS, transition state. b,c, Evolution of the intensities of formate (HCOO*, 2,876 cm−1; pink) and methoxy (CH3O*, 2,827–2,837 cm−1; purple) bands derived from in situ DRIFTS measurements over 2InHfOx (b) and 2InZrOx (c) catalysts during CO2 hydrogenation (shaded yellow; FT = 20 cm3 min−1, T = 553 K, P = 2.0 MPa, H2/CO2 = 4; dwell time, 120 min) and subsequent H2/He flow (shaded purple; same conditions except that CO2 is replaced by He). d, Temperature-programmed surface reaction profiles showing the evolution of CO2, formate and methanol signals over 2InHfOx and 2InZrOx catalysts. The y axis is plotted on a logarithmic scale to highlight the full range of signal intensities.

Source data

CO2 adsorption is more exothermic on In(OH)3-m-HfO2 than In(OH)3-m-ZrO2, consistent with the higher CO2 conversion measured for 2InHfOx (Fig. 1c). Thermodynamically methanol selectivity is slightly higher over In(OH)3-m-HfO2 (∆GCO2+H2→HCOO = ‒0.75, ∆GCO2+H2→CO2H = 0.99) compared with In(OH)3-m-ZrO2 (∆GCO2+H2→HCOO = ‒0.88, ∆GCO2+H2→CO2H = 0.64), in line with the experimental results (Fig. 1d). Although activation energies are similar, the In(OH)3-t-ZrO2 model overstabilizes HCOO, CH2O2 and CH3O intermediates, probably contributing to the lower catalytic performance of 2InZrOx. Short molecular dynamics (MD) simulations (5 ps) under relevant reaction temperatures (Supplementary Figs. 51–53 and Supplementary Videos 1–3) confirmed that indium atoms remain confined within the first coordination shell of Hf/Zr cations, and their mobility decreases in the presence of reaction intermediates adsorbed on the support surface, indicating high single-atom stability. The In@HfO2 model exhibits comparable methanol selectivity to In(OH)3-m-HfO2, but hindered CO2 and H2 activation steps, verifying the superior reactivity of surface-anchored, hydroxylated InOx species.

In situ DRIFTS corroborates the DFT results, showing characteristic bands for formate (HCOO*; 1,385, 1,600, 2,876 and 2,978 cm−1) and methoxy (CH3O*; 1,054, 1,176, 2,837 and 2,939 cm−1) species on both 2InHfOx and 2InZrOx (Supplementary Figs. 54 and 55)31. Carbonate and hydroxyl signals are also observed, but DFT-PBE simulations indicate they exert a minimal influence on the reaction landscape, except in In(OH)3-t-ZrO2 (Supplementary Note 3, Supplementary Table 10 and Supplementary Figs. 56–58). Time-resolved analyses reveal approximately two times higher formate (2,876 cm−1) coverage on 2InHfOx, substantiating the superior reactant activation (Fig. 6b,c and Extended Data Fig. 6). On switching from CO2 + H2 to He + H2, formate decreases and methoxy increases on both catalysts, but with a more drastic intensity change on 2InHfOx. Methoxy signals reach maxima at 210 min for 2InHfOx, suggesting more efficient hydrogenation, whereas its desorption appears kinetically limited on 2InZrOx as the signal remains roughly constant.

Extended Data Fig. 6. Reaction mechanism and intermediate evolution.

Extended Data Fig. 6

In-situ DRIFT spectra of 2InHfOx and 2InZrOx catalysts a,b, under reaction conditions (CO2 + H2) and c,d, after sequential treatment in H2 + He. The bands at 2876-2879 and 2837-2838 cm−1 correspond to adsorbed methoxy species, while the 2978 cm−1 band observed for 2InZrOₓ indicates formate-derived intermediates. Spectra are shown over time-on-stream indicated by colour gradients. Full spectra are provided in Supplementary Figs. 54-55. Treatment conditions: (FT = 20 cm3 min−1, T = 553 K, P = 20 bar, H2/CO2 and H2/He = 4, and dwell time = 120 min).

Source data

Temperature-programmed surface reaction of CO2 (CO2-TPSR) further confirms a slightly weaker CO2 desorption signal for 2InHfOx during heating (Fig. 6d), with a higher formate signal, linking the enhanced formation of this key intermediate to a reduced activation barrier. Methanol production is also higher for 2InHfOx, probably aided by weaker methanol binding evidenced by methanol (MeOH) TPD, showing a 200-K lower desorption temperature (Supplementary Fig. 59 and Supplementary Table 11). These experimental results align with the DFT-derived energetics for the In(OH)3-m-HfO2 model and overstabilized intermediates on In(OH)3-t-ZrO2.

Another factor that may contribute to the superior hydrogenation performance of 2InHfOx is the H2-storage capacity of HfO2 (refs. 49–51). DFT simulations indicate that the In(OH)3-m-HfO2 model promotes hydrogenation of both formate and formaldehyde (CH2O) intermediates. Experimentally, a negative H2-TPR signal from HfO2(FSP) is observed (confirmed to be H2 by mass spectrometry; Extended Data Fig. 5c). H2-TPD (Extended Data Fig. 5d) and H2 chemisorption (Supplementary Table 12) analyses corroborate the enhanced H2 uptake. This property arises from the wide bandgap and high dielectric constant of HfO2, which enable neighbouring hydride–proton pair formation that facilitates hydrogenating species transfers, efficiently completing the catalytic cycle and promoting methanol formation.

Building on a previously established kinetic framework for CO2 hydrogenation over reducible oxide catalysts27,31, we developed two-site Langmuir–Hinshelwood models for 2InHfOx and 2InZrOx, following the same DFT-PBE-derived elementary steps. The model predictions reproduce the experimental performance (Supplementary Fig. 60), and the fitted parameters support the mechanistic picture (Supplementary Tables 13 and 14). Reaction orders for CO2 (nCO2) and H2 (nH2) are ~0.05 lower for 2InHfOx, consistent with easier CO2 activation and hydrogenation (Supplementary Fig. 61). The intrinsic kinetic constant for methanol formation (kMeOH,ref) is higher for 2InHfOx, whereas the RWGS activation barrier (Ea,RWGS) for CO formation is lower for 2InZrOx, reflecting reduced formate stabilization. Overall, 2InHfOx delivers superior CO2 conversion, methanol selectivity and methanol STY across all practical operating conditions (Extended Data Fig. 7 and Supplementary Fig. 62).

Extended Data Fig. 7. Kinetic modelling of 2InHfOx and 2InZrOx catalysts.

Extended Data Fig. 7

Predicted CO2 conversion, methanol selectivity, and indium-specific methanol space–time yield from kinetic modelling of CO2 hydrogenation over a, 2InHfOx and b, 2InZrOx catalysts as a function of pressure and temperature at the same gas hourly space velocity (GHSV = 24,000 cm3 h−1 gcat−1). The contour maps highlight the higher intrinsic activity and selectivity of 2InHfOx compared to 2InZrOx at different operating conditions.

Source data

Generalization of HfO2 promotional effect

To explore whether the promotional effect of flame-made HfO2 extends beyond indium, we synthesized analogous GaHfOx and ZnHfOx catalysts (2 wt% of Ga2O3 and ZnO). Although Ga2O3 and ZnO are commonly explored as alternatives to In2O3, they generally exhibit lower activity for CO2-to-methanol conversion27,52–54. The resulting materials feature similar surface areas and monoclinic support structures to InHfOx, and remain structurally stable post-reaction (Extended Data Fig. 8 and Supplementary Table 2). Under CO2 hydrogenation conditions (T = 573 K, P = 5 MPa, GHSV = 24,000 cm3 h−1 gcat−1 and H2/CO2 = 4), GaHfOx and ZnHfOx showed metal-specific methanol productivity 268 and 137 times higher than pristine Ga2O3 and ZnO, respectively. Detailed characterization reveals that this generalized promotional effect arises from a dual-site mechanism: HfO2 primarily facilitates CO2 activation, whereas Ga and Zn single atoms split H2 during the reaction (Supplementary Note 5, Supplementary Table 15 and Supplementary Figs. 63–71). However, consistent with their lower activity, oxygen-vacancy formation occurs less readily on GaHfOx and ZnHfOx, as corroborated by DFT and XPS analyses (Supplementary Table 16 and Supplementary Figs. 72 and 73). These findings demonstrate the broad applicability of the promotional effect of HfO2 across multiple metal oxide systems.

Extended Data Fig. 8. Generalization of the HfO2 promotional effect.

Extended Data Fig. 8

a, Methanol STY per mole of active metal (M = In, Ga, or Zn) over InHfOx, ZnHfOx, and GaHfOx containing 2 wt% In2O3, ZnO, or Ga2O3 compared to the bulk metal oxides. Reaction conditions: T = 573 K, P = 50 bar, H2:CO2 = 4, GHSV = 24,000 cm3 h−1 gcat−1, tos = 20 h. b, XRD patterns and c, Raman spectra of ZnHfOx and GaHfOx catalysts. Representative elemental maps of fresh d, GaHfOx and e, ZnHfOx catalysts, highlighting the uniform dispersions of metal centres on m-HfO2 support. In (a), bars show mean values from repeated measurements (n = 20).

Source data

These results position InHfOx as a benchmark CO2 hydrogenation catalyst. In particular, the effectiveness of HfO2 arises from the same electronic attributes that have made it transformative in microelectronics (Extended Data Fig. 9): a wide bandgap and a high dielectric constant. These features enable the simultaneous stabilization of protons on surface anions and the suppression of electron leakage from hydrides into the conduction band, preserving surface hydride–proton pairs required to close the catalytic cycle. Although this makes heterolytic H2 activation intrinsically difficult, the limitation is overcome by introducing single-atom hydrogen splitters (In, Ga or Zn). These metals, particularly indium, exhibit flexible coordination environments that allow variable O/H stoichiometries at nearly equivalent chemical potentials, enabling dynamic redox cycling.

Extended Data Fig. 9. Design principles of high-κ dielectric catalysts.

Extended Data Fig. 9

A wide bandgap combined with a high dielectric constant, provided most effectively by monoclinic HfO2, enables the surface stabilization of proton-hydride pairs essential for high methanol productivity over indium-based catalysts in CO2 hydrogenation. Hydroxylated support surfaces anchor atomically dispersed metals with flexible coordination environments (In and to a lesser extent Ga or Zn), which split H2. The high-κ dielectric prevents leakage of hydride-derived electrons from the surface into the bulk conduction band, maintaining frustrated Lewis pairs of protons bound to O2− anions in the valence band and hydride electrons at the surface. This property is crucial for promoting hydrogenation steps leading to methanol, while its absence favours CO formation via the reverse water-gas shift pathway.

High dispersion of these single atoms relies on precise synthesis control and the asymmetric monoclinic structure of HfO2, which suppresses InOx aggregation. This structural requirement is underscored by the inactivity of InOx species supported on high-bandgap but symmetric oxides like La2O3 and CeO2, which fail to promote CO2-to-methanol conversion and are unstable under reaction conditions (Supplementary Fig. 74). Additionally, hydroxylated surfaces obtained by FSP or hydrothermal synthesis, promote the formation and stabilization of single-atom hydrogen-splitting sites. The unique combination of electronic structure, surface stability and synthesis-controlled hydroxyl chemistry render HfO2 a compelling platform for next-generation CO2 hydrogenation catalysts.

Conclusions

Monoclinic HfO2, a wide-bandgap, high-κ dielectric rarely explored in heterogeneous catalysis, unlocks superior methanol productivity in In2O3 systems, breaking a decade-long stagnation in catalyst design. This promotional effect reflects improved indium utilization, where indium single atoms anchored on the support surface act as highly efficient hydrogenation centres. This challenges the prevailing view that InOx patches or clusters are the optimal active sites for CO2-to-methanol conversion. Combined experimental and theoretical analyses attribute the exceptional performance of InHfOx to (1) higher monoclinic surface stability, (2) surface hydroxylation favoured by FSP and (3) electronic stabilization of surface hydride–proton pairs. Although the scarcity of HfO2 may constrain large-scale deployment21,22, these findings establish a generalizable design strategy for supported reducible oxides on wide-bandgap dielectrics, validated through the extension to Ga2O3 and ZnO systems. Beyond CO2 hydrogenation, the approach opens broader opportunities for applying dielectric-supported single-atom motifs across other challenging chemical transformations. Looking ahead, combining interface engineering, descriptor-guided design and data-driven exploration may unlock a wider class of asymmetric wide-bandgap dielectrics, ranging from pentavalent transition metal oxides to distorted perovskites, as next-generation catalytic supports.

Methods

Catalyst preparation

yInMOx catalysts (M = Hf or Zr) with varying In2O3 content (y = 1–10 wt%) were prepared by FSP15. Metal precursors in the desired molar ratio were dissolved in 2-ethylhexanoic acid and tetrahydrofuran (1/3 mass content). The resulting solutions (total metal concentration, 0.40 mol kg−1) were pumped through a nozzle (0.4-mm diameter at 5.0 cm3 min−1), dispersed into a fine spray by flowing oxygen (1.5 bar, 5.0 l min−1), and ignited using a supporting flame formed from a premixed flow of oxygen (2.4 l min−1) and methane (1.2 l min−1). The resulting powders were collected on a glass fibre filter (GF/A-6) and used for CO2 hydrogenation without further purification or treatment. GaHfOx and ZnHfOx catalysts, as well as reference HfO2(FSP) and ZrO2(FSP) supports, were prepared analogously using the corresponding metal precursors.

The HfO2(P) support was synthesized by precipitation, where aqueous NH4OH (25 wt%, 5 cm3 min−1) was added to an aqueous solution of HfCl4 (4.8 g in 200-cm3 deionized water) under vigorous stirring until reaching a pH of 10. The resulting slurry was aged (48 h, 363 K, ramp of 3 K min−1), and the resulting precipitate was washed with deionized water (10 l) using high-pressure filtration, dried in a vacuum oven (323 K, 12 h), and calcined in air (973 K, 2 K min−1, 2 h). Coprecipitated InHfOx,CP catalysts were synthesized following the same protocol, except that In(NO3)3·H2O (0.15 g) was added together with the HfCl4 precursor. The HfO2(H) support was synthesized by a hydrothermal route. In brief, CO(NH2)2 (60 g) was dissolved in an aqueous solution of HfCl4 (30 g in 400-cm3 deionized water). The transparent mixture was subsequently transferred into a 30-ml Teflon-lined stainless steel autoclave and heated (473 K, 3 K min−1, 20 h). Products were then separated by centrifugation, washed with deionized water (1 l) and dried at 80 °C for 12 h. Finally, the obtained samples were calcined in air (473 K, 3 K min−1, 20 h). For wet-impregnated catalysts, In2O3/HfO2(P),WI, In2O3/HfO2(FSP),WI and In2O3/HfO2(H),WI, In(NO3)3·H2O (48 mg) was dissolved in deionized water (124 cm3) followed by the addition of HfO2(P), HfO2(FSP) or HfO2(H) (2 g), respectively. The suspension was stirred (700 r.p.m., 24 h, ambient conditions) before removing the solvent gradually under reduced pressure (323 K, Büchi Rotavap R-114), and the resulting powders were dried and calcined in air (773 K, 2 K min−1, 3 h). All chemicals, suppliers and purities are listed in Supplementary Table 17. Catalyst nomenclature and synthesis procedures are summarized in Supplementary Table 2.

Catalyst composition and phase structure

Metal contents were quantified by inductively coupled plasma optical emission spectroscopy (Horiba Ultra 2 spectrometer, photomultiplier tube detector) after digestion in a 2:1 H2SO4:HNO3 mixture under microwave irradiation. Bulk crystalline structures were examined by XRD (Rigaku SmartLab diffractometer, D/teX Ultra 250 detector) using Cu Kα radiation (λ = 0.1541 nm) in the Bragg–Brentano geometry (2θ range of 10–80°, step size of 1° and 60 s per step). Average crystal sizes of m-MO2 phases were estimated via the Scherrer equation (K = 0.94) applied to selected diffraction peaks (Match! software, v3.15 Crystal Impact, instrumental broadening corrected using the LaB6 standard). The phase composition was estimated using the reference internal ratio method. Catalyst surface structures were confirmed by Raman spectroscopy (Horiba LabRAM HR system, 325-nm He–Cd laser, 2.5-mW power, ×40 objective lens, 0.95 numerical aperture, 1,800 lines mm−1 grating). Spectra were acquired in a single run (60 s). Porous properties were determined by N2 sorption at 77 K (Micromeritics TriStar II analyser) after degasification (473 K, 12 h, vacuum). InOx dispersion and nanostructure were characterized by aberration-corrected STEM and EDX (probe-corrected FEI Titan Themis, Super-X detector, 300 kV) analysis of catalyst powders dusted on lacey-carbon-coated copper grids.

Surface adsorption and reactivity

CO2 uptake was measured by volumetric chemisorption (Micromeritics 3Flex Surface Characterization analyser) after in situ pretreatment in H2 (mcat = 0.15 g, 573 K, 1 h). After cooling to 313 K, CO2 was dosed stepwise (13.3-kPa increments, up to 93.3 kPa). The adsorption strength was evaluated using the dual-isotherm method; the uptake was calculated via Sinfelt extrapolation. CO2 adsorption was further investigated by CO2-TPD (Micromeritics AutoChem HP II analyser) with mass spectrometry detection (m/z = 44, Pfeiffer Vacuum OmniStar). Catalysts (0.1 g) were pretreated in He (553 K, 10 K min−1, 1 h), cooled to 313 K, saturated with 5%CO2/He (1 h), purged for 20 min under He and then heated to 1,073 K (10 K min−1) under He. Gas flows were 20 cm3 min−1. CO2 temperature-programmed surface reaction followed the same procedure but used H2 in the final temperature ramp (313–973 K), monitoring m/z = 44 (CO2), 45 (formate) and 31 (methanol). MeOH-TPD was conducted using the same setup by pulsing methanol-saturated He (30 pulses, each 0.5 cm3, 2-min separation), followed by purging (313 K, 60 min) and ramping under He to 1,073 K (10 K min−1), monitoring m/z = 31 (methanol). Temperature-programmed H2–D2 exchange (H2–D2 TPE) was performed using the same setup, exposing the samples (mcat = 0.05 g) to a 50% H2/D2 mixture (10 cm3 min−1, 423 K, 60 min) and then cooling to 313 K and monitoring m/z = 2(H2), 3 (HD) and 4 (D2) on heating to 700 K. The reducibility of the catalysts was studied by H2-TPR (Micromeritics AutoChem HP III). After identical pretreatment, samples were exposed to a 5% H2/Ar mixture (20 cm3 min−1) and heated to 1,073 K (10 K min−1), monitoring evolved gases by thermal conductivity detection. D2-H-TPE was used to quantify the hydroxyl group density of distinct supports.

Electronic structure

XPS analyses (Physical Electronics Quantum 2000 spectrometer) were conducted using monochromatic Al Kα radiation (15-kV electron beam), using a hemispherical capacitor electron-energy analyser (46.95-eV pass energy, 45° electron take-off angle). Samples were mounted on aluminium foils. Binding energies were calibrated to the C1s aliphatic peak, set to 284.8 eV. Spectra were analysed using CasaXPS (v2.3.23PR1.0; Casa Software Ltd). XAS measurements were performed at the Swiss-Norwegian Beam Line at the European Synchrotron Radiation Facility using a liquid-nitrogen-cooled Si(111) double-crystal monochromator. Spectra were calibrated against In foil (27.9399 keV). The incident and transmitted intensities were monitored using N2-filled ionization chambers. Fluorescence signals were collected using a Peltier-cooled, single-element silicon drift detector. In K-edge spectra (27.6–28.6 keV) were acquired in the continuous-scan mode (0.5-eV step, 150-s scan duration; beam spot, 3 mm × 0.2 mm). Catalysts (10 mg) were packed in 1-mm-outer-diameter quartz capillaries (0.02-nm wall thickness), secured between quartz plugs. Operando XAS involved (1) recording the fresh catalyst spectra, (2) heating in He to 553 K (20 cm3 min−1, 10 K min−1, 2 MPa), (3) switching to CO2 hydrogenation conditions (20 cm3 min−1, 553 K, 2 MPa, H2/CO2 = 4) for 120 min and (4) switching to reducing conditions (20 cm3 min−1, 553 K, 1.5 MPa, H2/He = 4) for 120 min, followed by cooling in He. High-purity gases were dosed using Bronckhorst digital mass flow controllers, and the effluent gases were monitored by mass spectrometry (Pfeiffer Vacuum OmniStar). Ex situ XAS was conducted with the same geometry. Reference In2O3 and In foils were measured in the transmission mode. Data processing (energy calibration, background corrected and normalized) was performed using Athena (v0.9.26) from the Demeter software package.

In situ EPR spectroscopy was conducted using a custom setup (Supplementary Table 8). Catalysts (20 mg) were loaded in 2.8-mm-inner-diameter quartz tubes (Wilmad), positioned at the centre of a water-cooled high-temperature resonator55, within a Bruker EMX continuous-wave EPR spectrometer operating at X-band frequencies. Gases were dosed with Bronkhorst digital mass flow controllers, and the effluent was monitored by mass spectrometry (Pfeiffer Vacuum OmniStar). The reactor was first pressurized to 10 bar under He and measured at room temperature (fresh catalyst). In situ time-resolved spectra were recorded continuously using the two-dimensional acquisition mode during the following steps: (1) heating to 553 K in He and stabilizing for 30 min, (2) cooling to room temperature in He, (3) reheating to 553 K in He until the spectra stabilized, (4) switching to a He–H2 flow (210 cm3 min−1) for 90 min, (5) cooling to room temperature in a He–H2 flow, (6) reheating to 553 K in a He–H2 flow until stabilization, (7) switching to a He–CO2 flow (110 cm3 min−1) for 90 min, (8) cooling to room temperature in a He–CO2 flow, (9) reheating to 553 K in a He–CO2 flow until stabilization of the EPR spectra, (10) switching to a H2–CO2 flow (200 cm3 min−1, H2/CO2 = 4) for 90 min and (11) cooling to room temperature in a H2–CO2 flow for the final EPR spectrum. Ex situ continuous-wave EPR spectra were acquired on a Bruker Elexsys E500 spectrometer equipped with an Oxford helium (ESR900) cryostat operating at X-band frequencies using a ER4122SHQE Bruker EPR resonator (Supplementary Table 9). All spectra were analysed using EasySpin, and g-factors were offset-corrected against a known standard (free radical 1,1-diphenyl-2-picrylhydrazyl)56. The in situ spectra at room temperature were fitted using the pepper function in EasySpin. The data were optimized for g-values, linewidth and weights for the spin concentrations of the different spin species using the particle swarm optimization method. DR UV absorption spectra (JASCO V-770 spectrophotometer equipped with an ILN-725 integrating sphere) were recorded in the 220–800-nm range (internal, 0.5 nm).

The reaction mechanism and kinetics were studied by in situ DRIFTS using a custom-made setup previously described. The undiluted catalyst (~25 mg) was loaded into a high-temperature reaction chamber with ZnSe windows (Harrick Scientific HVC-DWM-3), mounted in a Praying Mantis accessory (Harrick Scientific). After purging with He (30 min), the cell was pressurized (2 MPa) for a leak test and then heated to the reaction temperature (5 K min−1). For background acquisition, spectra were collected continuously (2 cm−1 resolution, 256 scans per 60 s). The gas feed was then switched to the H2/CO2 = 4 reaction mixture (FT = 20 cm3 min−1) for 120 min, followed by H2/He = 4 (FT = 20 cm3 min−1) for another 120 min. Time-resolved signal evolution was analysed using the Bruker OPUS (v8.2) software. Ex situ DRIFTS was performed using KBr as the background.

Catalytic evaluation

CO2 hydrogenation to methanol was performed in a continuous-flow high-pressure system with four parallel fixed-bed reactors (PID Eng&Tech), described elsewhere57. Catalyst powders (100 mg; 0.2–0.4-mm particle size) were loaded into reactor tubes (4-mm internal diameter) with quartz wool and frit. After purging with He (40 cm3 STP min−1, PanGas, 4.6, 30 min), the pressure was gradually elevated to 5.5 MPa for leak testing under an identical flow. Reactors were then heated to 553 K (5 K min−1), and testing proceeded at 553 K, 5 MPa, under the H2/CO2 reaction mixture (4:1 molar ratio, 40 vol% CO2) at a GHSV of 24,000 cm3 h−1 gcat−1. Product analysis was performed by online gas chromatography every 1 h (parallel) or 15 min (single reactors). Response factors (Fi) for each compound i were determined relative to an internal standard (20 vol% of C2H6 in He) using equation (1):

Fi=AC2H6/nC2H6inAi/niin, 1

where Ai is the integrated peak area of compound i, and ni is the molar flow at the reactor inlet. An average of five points around the expected analyte concentration were used. The unknown effluent molar flow of compound i (niout) was determined using equation (2):

niout=Ai×FiAC2H6×nC2H6out, 2

where nC2H6out is the known flow of C2H6 at the reactor outlet. Conversion (Xi), selectivity (Si), yield (Yi) and methanol production rate (rMeOH) were derived using equations (3)–(6):

Xi=niin−nioutniin, 3
Si=nioutnCO2in−nCO2out, 4
Yi=XCO2×Si=nioutnCO2in, 5
ri=nioutmcat. 6

The methanol STY is the product of rMeOH and the molar weight (MW) of methanol (32.04 g mol−1), as detailed in equation (7):

STY=rMeOH×MWMeOH. 7

The carbon balance was calculated for each experiment as

εC=1−n2out+nMeOHout+nCOoutn2in+nCOin 8

and was always within a 5% difference.

Computational methods

DFT simulations were conducted using the Vienna ab initio simulation package (VASP, v5.4.4) using the PBE exchange–correlation functional58–60. We used a plane-wave basis set with a kinetic energy cut-off of 500 eV to represent the valence electrons, and core electrons were described using projector augmented-wave pseudopotentials61,62. The Monkhorst–Pack method was used to generate a Γ-centred mesh with a reciprocal grid size narrower than 0.040 Å−1 to sample the Brillouin zone63. Spin polarization was included when required.

Lattice parameters of different bulk polymorphs of HfO2 and ZrO2 were optimized with a higher kinetic cut-off energy of 700 eV, and they are in line with the experimental values (Supplementary Table 18). For HfO2, we assessed monoclinic (m), tetragonal (t) and cubic (c) polymorphs corresponding to the space groups P21/c, P42/nmc and Fm3¯m, respectively (Supplementary Note 1). Analogous polymorphs were investigated for ZrO2. The possibility of substituting indium in all polymorphs was explored by replacing one metal atom (Hf or Zr) by In in supercells with dimensions of 2 × 2 × 2 (monoclinic and cubic) and 2 × 2 × 3 (tetragonal). The same supercells were used to assess the oxygen-vacancy formation in both pure supports and indium-containing systems.

We used periodic boundary conditions to represent the most stable surfaces of m-MO2 (–111) and t-MO2 (101) polymorphs (Supplementary Fig. 13 and Supplementary Note 1)64–66. Oxygen-terminated slabs were cleaved from optimized bulk structures and represented with p(1 × 1) and p(1 × 2) expansions for monoclinic and tetragonal polymorphs, respectively (Supplementary Fig. 13). All slabs contained four layers, the two outermost being allowed to relax and the two bottom ones fixed to their bulk positions. For the monoclinic polymorph, each slab layer consisted of 12 atomic layers arranged as O‒O‒O‒Zr‒O‒Zr‒Zr‒O‒Zr‒O‒O‒O, whereas the tetragonal counterpart consisted of five atomic layers with the sequence O‒O‒Zr2‒O‒O. Despite their structural differences, both slabs contained four formula units of MO2 per layer and maintained the identical ratios of relaxed to fixed atoms. We introduced a vacuum region of 15 Å perpendicular to the slab surface (z axis) with a dipole correction along the same direction to compensate for the asymmetry of relaxations67. The most favourable surface configurations of isolated indium atoms were assessed using three strategies: (1) by substituting one of the non-equivalent support metal atoms in the two outermost layers of the slab (surface and subsurface), (2) by adsorbing a hydroxylated In(OH)3 species on top of pristine m- and t-MO2 surfaces and (3) by adsorbing an isolated In adatom (Supplementary Figs. 14 and 19). Additionally, in the case of the adsorption of hydroxylated In species, the surface unit was increased to twice the size with respect to previous systems. Oxygen-vacancy formation was explored in all pristine and In-containing slabs models (Supplementary Fig. 15). Moreover, different amounts of hydrogen, oxygen and indium atoms were explored in systems with adsorbed hydroxylated In species using ab initio thermodynamics to assess their relative stability at different conditions (Supplementary Note 1).

To assess the electronic properties of 2InHfOx and 2InZrOx, we computed the bandgaps of bulk and surface HfO2 and ZrO2 models, considering oxygen vacancies as well as different types of In doping. The bandgaps obtained using the PBE density functional were benchmarked against the hybrid HSE03 functional with 13% of non-local Hartree–Fock exchange and the meta-generalized gradient approximation r2SCAN functional (Supplementary Tables 19–21)68–70. The results indicate that PBE provides a good cost–accuracy trade-off and is an appropriate density functional for comparing the catalytic performance of Hf- and Zr-based oxides from a computational standpoint.

Energy profiles for methanol synthesis via CO2 hydrogenation and its competitive RWGS reaction were computed at the PBE level using the models containing both incorporated and adsorbed In with one oxygen vacancy (Supplementary Note 3). Gas-phase CO2, H2 and H2O molecules, as well as clean surfaces, were used as thermodynamic sinks. Transition states were located using the climbing image nudged elastic band method (CI-NEB)71, and their nature was confirmed by computing numerical frequencies with a step size of ±0.015 Å. Vibrational contributions to enthalpy and entropy were included for the adsorbed species, whereas rotational and translational contributions were also considered for gas-phase molecules only. Gibbs free energies were computed at 553 K in line with experimental reaction CO2 hydrogenation conditions.

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Supplementary information

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Supplementary Notes 1–5, Tables 1–21, Figs. 1–74, captions to Supplementary Videos and references.

Peer Review File (147.2KB, pdf)
Supplementary Video 1 (11.3MB, mp4)

Top-view projections of ab initio MD simulations for pristine In(OH)3-m-HfO2, for the system with one oxygen vacancy, and for configurations with one oxygen vacancy and adsorbed HCOO or CH3O (left to right). Simulations were performed using a temperature ramp from 0 to 553 K over 5 ps in the NVT ensemble with a Nosé–Hoover thermostat and a 1-fs time step. Colour code: Hf, purple; O, salmon pink; In, red; C, black; H, white. The indium trajectory indicates that the single atom undergoes only confined diffusion within the first coordination shell of Hf atoms, and the local mobility is further attenuated in the presence of reaction intermediates.

Supplementary Video 2 (12MB, mp4)

Top-view projections of ab initio MD simulations for pristine In(OH)3-m-ZrO2, for the system with one oxygen vacancy, and for configurations with one oxygen vacancy and adsorbed HCOO or CH3O (left to right). Simulations were performed using a temperature ramp from 0 to 553 K over 5 ps in the NVT ensemble with a Nosé–Hoover thermostat and a 1-fs time step. Colour code: Zr, teal; O, salmon pink; In, red; C, black; H, white. The indium trajectory indicates that the single atom undergoes only confined diffusion within the first coordination shell of Zr atoms, and the local mobility is further attenuated in the presence of reaction intermediates.

Supplementary Video 3 (12MB, mp4)

Top-view projections of ab initio MD simulations for pristine In(OH)3-t-ZrO2, for the system with one oxygen vacancy, and for configurations with one oxygen vacancy and adsorbed HCOO or CH3O (left to right). Simulations were performed using a temperature ramp from 0 to 553 K over 5 ps in the NVT ensemble with a Nosé–Hoover thermostat and a 1-fs time step. Colour code: Zr, teal; O, salmon pink; In, red; C, black; H, white. The indium trajectory indicates that the single atom undergoes only confined diffusion within the first coordination shell of Zr atoms, and the local mobility stays attenuated in the presence of reaction intermediates.

Source data

Source Data Fig. 1 (12.3KB, xlsx)

Source data for Fig. 1b–d.

Source Data Fig. 2 (365.3KB, xlsx)

Source data for Fig. 2a–c.

Source Data Fig. 3 (10.1KB, xlsx)

Source data for Fig. 3b.

Source Data Fig. 4 (1MB, xlsx)

Source data for Fig. 4a,b.

Source Data Fig. 5 (280.5KB, xlsx)

Source data for Fig. 5a,b,d–h.

Source Data Fig. 6 (142.6KB, xlsx)

Source data for Fig. 6a–c.

Source Data Extended Data Fig. 2 (10.1KB, xlsx)

Source data for Extended Data Fig. 2.

Source Data Extended Data Fig. 3 (406.6KB, xlsx)

Source data for Extended Data Fig. 3.

Source Data Extended Data Fig. 4 (326.2KB, xlsx)

Source data for Extended Data Fig. 4.

Source Data Extended Data Fig. 5 (1.3MB, xlsx)

Source data for Extended Data Fig. 5.

Source Data Extended Data Fig. 6 (255.2KB, xlsx)

Source data for Extended Data Fig. 6.

Source Data Extended Data Fig. 7 (104.7KB, xlsx)

Source data for Extended Data Fig. 7.

Source Data Extended Data Fig. 8 (138.8KB, xlsx)

Source data for Extended Data Fig. 8.

Acknowledgements

This project was carried out as part of NCCR Catalysis (grant number 225147), a National Center of Competence in Research funded by the Swiss National Science Foundation. N.L., M.R. and J.M.-V. acknowledge support from Generalitat de Catalunya and AGAUR (2023 CLIMA 00105), the Spanish Ministry of Science and Innovation (PID2024-157556OB-I00 funded by MICIU/AEI/10.13039/501100011033/ FEDER, UE), and Severo Ochoa Excellence Accreditation (CEX2024-001469-S funded by MCIU/AEI/10.13039/501100011033). M.R. also thanks ‘la Caixa’ Foundation (ID 100010434) for a fellowship (LCF/BQ/DI24/12070004). H.E. and R.E. acknowledge funding from the Swiss National Science Foundation (200021_196381). We thank the Barcelona Supercomputing Center-MareNostrum (BSC-RES) for computing resources, the Swiss-Norwegian Beam Line at the European Synchrotron Radiation Facility (ESRF, proposal numbers A31-1-273 and A31-1-305) for beamtime and XAS support, the Swiss Federal Laboratories for Materials Science and Technology (EMPA) for access to TEM and XPS facilities and the Laboratory for Multifunctional Materials at ETH Zurich for access to DR UV–vis spectroscopy. P. Hoffmann and F. Remi are thanked for assistance with catalyst testing and characterization.

Extended data

Author contributions

J.P.-R. conceived the idea of InHfOx catalysts. J.P.-R., S.M. and N.L. supervised the research. Y.-T.C. synthesized the catalysts (except FSP-prepared) and performed all catalyst characterization and evaluation with assistance from J.W., except for the techniques specified below. P.O.W., R.N.G. and W.J.S. prepared the catalysts by FSP. M.R., J.M.-V. and N.L. conducted the DFT simulations. K.R., M.A. and G.J. performed the electron paramagnetic resonance studies. H.E. and R.E. conducted the electron microscopy analyses. T.Z. performed the kinetic modelling. Y.-T.C., M.R. and S.M. co-wrote the manuscript with input from all authors, who provided data, discussed the results and revised the manuscript.

Peer review

Peer review information

Nature Nanotechnology thanks Jian Liu and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.

Funding

Open access funding provided by Swiss Federal Institute of Technology Zurich.

Data availability

The data presented in the Article are available via Zenodo (https://doi.org/10.5281/zenodo.16881810)72. All DFT structures, inputs and outputs can be found online in the ioChem-BD repository73,74 at https://doi.org/10.19061/iochem-bd-1-387 (ref. 75). Further data supporting the findings of this study are available in the Article and its Supplementary Information. All other relevant source data are available from the corresponding author upon request. Source data are provided with this paper.

Competing interests

The authors declare no competing interests.

Footnotes

Publisher’s note Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Change history

10/9/2026

This article was originally published under the subscription model but it is now published under an Open Access license.

Extended data

is available for this paper at https://doi.org/10.1038/s41565-026-02135-y.

Supplementary information

The online version contains supplementary material available at https://doi.org/10.1038/s41565-026-02135-y.

References

  • 1.González-Garay, A. et al. Plant-to-planet analysis of CO2-based methanol processes. Energy Environ. Sci.12, 3425–3436 (2019). [Google Scholar]
  • 2.Jiang, X. et al. Recent advances in carbon dioxide hydrogenation to methanol via heterogeneous catalysis. Chem. Rev.120, 7984–8034 (2020). [DOI] [PubMed] [Google Scholar]
  • 3.Beck, A., Newton, M. A., van de Water, L. G. A. & van Bokhoven, J. A. The enigma of methanol synthesis by Cu/ZnO/Al2O3-based catalysts. Chem. Rev.124, 4543–4678 (2024). [DOI] [PubMed] [Google Scholar]
  • 4.Martin, O. et al. Indium oxide as a superior catalyst for methanol synthesis by CO2 hydrogenation. Angew. Chem. Int. Ed.55, 6261–6265 (2016). [DOI] [PubMed] [Google Scholar]
  • 5.Araújo, T. P., Mitchell, S. & Pérez-Ramírez, J. Design principles of catalytic materials for CO2 hydrogenation to methanol. Adv. Mater.36, 2409322 (2024). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.Wang, J. Y. et al. CO2 hydrogenation to methanol over In2O3-based catalysts: from mechanism to catalyst development. ACS Catal.11, 1406–1423 (2021). [Google Scholar]
  • 7.Frei, M. S. et al. Mechanism and microkinetics of methanol synthesis via CO2 hydrogenation on indium oxide. J. Catal.361, 313–321 (2018). [Google Scholar]
  • 8.Ye, J. Y., Liu, C. J., Mei, D. H. & Ge, Q. F. Active oxygen vacancy site for methanol synthesis from CO2 hydrogenation on In2O3 (110): a DFT study. ACS Catal.3, 1296–1306 (2013). [Google Scholar]
  • 9.Cao, A., Wang, Z. B., Li, H. & Norskov, J. K. Relations between surface oxygen vacancies and activity of methanol formation from CO2 hydrogenation over In2O3 surfaces. ACS Catal.11, 1780–1786 (2021). [Google Scholar]
  • 10.Tsoukalou, A. et al. Structural evolution and dynamics of an In2O3 catalyst for CO2 hydrogenation to methanol: an operando XAS-XRD and in situ TEM study. J. Am. Chem. Soc.141, 1349713505 (2019). [DOI] [PubMed] [Google Scholar]
  • 11.Zhang, X. Q. et al. Support effect and surface reconstruction in In2O3/m-ZrO2 catalyzed CO2 hydrogenation. ACS Catal.12, 3868–3880 (2022). [Google Scholar]
  • 12.Tsoukalou, A. et al. X-ray absorption spectroscopy identifies a monoclinic ZrO2:In solid solution as the active phase for the hydrogenation of CO2 to methanol. ACS Catal.10, 10060–10067 (2020). [Google Scholar]
  • 13.Frei, M. S. et al. Role of zirconia in indium oxide-catalyzed CO2 hydrogenation to methanol. ACS Catal.10, 1133–1145 (2020). [Google Scholar]
  • 14.Yang, C. S. et al. Strong electronic oxide-support interaction over In2O3/ZrO2 for highly selective CO2 hydrogenation to methanol. J. Am. Chem. Soc.142, 19523–19531 (2020). [DOI] [PubMed] [Google Scholar]
  • 15.Araújo, T. P. et al. Flame-made ternary Pd-In2O3-ZrO2 catalyst with enhanced oxygen vacancy generation for CO2 hydrogenation to methanol. Nat. Commun.13, 5610 (2022). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 16.Eliasson, H. et al. Tracking dynamics of supported indium oxide catalysts in CO2 hydrogenation to methanol by in situ TEM. Adv. Mater.37, 2419859 (2025). [DOI] [PubMed] [Google Scholar]
  • 17.Vera, C. Y. R. et al. Mechanistic understanding of support effect on the activity and selectivity of indium oxide catalysts for CO2 hydrogenation. Chem. Eng. J.426, 131767 (2021). [Google Scholar]
  • 18.Stephan, D. W. The broadening reach of frustrated Lewis pair chemistry. Science354, aaf7229 (2016). [DOI] [PubMed] [Google Scholar]
  • 19.Stephan, D. W. & Erker, G. Frustrated Lewis pair chemistry: development and perspectives. Angew. Chem. Int. Ed.54, 6400–6441 (2015). [DOI] [PubMed] [Google Scholar]
  • 20.Jain, A. et al. Commentary: the Materials Project: a materials genome approach to accelerating materials innovation. APL Mater.1, 011002 (2013). [Google Scholar]
  • 21.Coster, D. & Hevesy, G. On the new element hafnium. Nature111, 182–182 (1923). [Google Scholar]
  • 22.Curtis, C. E., Doney, L. M. & Johnson, J. R. Some properties of hafnium oxide, hafnium silicate, calcium hafnate, and hafnium carbide. J. Am. Ceram. Soc.37, 458–465 (1954). [Google Scholar]
  • 23.Cheema, S. S. et al. Ultrathin ferroic HfO2-ZrO2 superlattice gate stack for advanced transistors. Nature604, 65–71 (2022). [DOI] [PubMed] [Google Scholar]
  • 24.Schroeder, U., Park, M. H., Mikolajick, T. & Hwang, C. S. The fundamentals and applications of ferroelectric HfO2. Nat. Rev. Mater.7, 670 (2022). [Google Scholar]
  • 25.Koehle, M. & Lobo, R. F. Lewis acidic zeolite Beta catalyst for the Meerwein-Ponndorf-Verley reduction of furfural. Catal. Sci. Technol.6, 3018–3026 (2016). [Google Scholar]
  • 26.Luo, H. Y., Lewis, J. D. & Román-Leshkov, Y. Lewis acid zeolites for biomass conversion: perspectives and challenges on reactivity, synthesis, and stability. Annu. Rev. Chem. Biomol.7, 663–692 (2016). [DOI] [PubMed] [Google Scholar]
  • 27.Araújo, T. P. et al. Design of flame-made ZnZrOx catalysts for sustainable methanol synthesis from CO2. Adv. Energy Mater.13, 2204122 (2023). [Google Scholar]
  • 28.Araújo, T. P. et al. Flame spray pyrolysis as a synthesis platform to assess metal promotion in In2O3-catalyzed CO2 hydrogenation. Adv. Energy Mater.12, 2103707 (2022). [Google Scholar]
  • 29.Xu, L. L. et al. Interfacial-confined oxygen vacancy clusters in ZrO2-supported In2O3–x catalysts boost methanol production from CO2. Angew. Chem. Int. Ed.64, e202508091 (2025). [DOI] [PubMed] [Google Scholar]
  • 30.Chen, T. Y. et al. Unraveling highly tunable selectivity in CO2 hydrogenation over bimetallic In-Zr oxide catalysts. ACS Catal.9, 8785–8797 (2019). [Google Scholar]
  • 31.Zou, T. et al. Descriptors of InZrOx vs ZnZrOx catalysts for CO2 hydrogenation to methanol. Adv. Energy Mater.15, 2404967 (2025). [Google Scholar]
  • 32.Chen, G. H., Hou, Z. F., Gong, X. G. & Li, Q. Effects of Y doping on the structural stability and defect properties of cubic HfO2. J. Appl. Phys.104, 074101 (2008). [Google Scholar]
  • 33.Lee, C. K., Cho, E. N., Lee, H. S., Hwang, C. S. & Han, S. W. First-principles study on doping and phase stability of HfO2. Phys. Rev. B78, 012102 (2008). [Google Scholar]
  • 34.Li, C. W., McKerns, M. M. & Fultz, B. Raman spectrometry study of phonon anharmonicity of hafnia at elevated temperatures. Phys. Rev. B80, 054304 (2009). [Google Scholar]
  • 35.Méndez-Castillo, M. D. et al. Structural, morphological and luminescence properties of hafnia nanoparticles obtained by hydrothermal synthesis. Ceram. Int.49, 41123–41132 (2023). [Google Scholar]
  • 36.Voronko, Y. K., Sobol, A. A. & Shukshin, V. E. Monoclinic-tetragonal phase transition in zirconium and hafnium dioxides: a high-temperature Raman scattering investigation. Phys. Solid State49, 1963–1968 (2007). [Google Scholar]
  • 37.Wang, J. Y. et al. Confinement-Induced indium oxide nanolayers formed on oxide support for enhanced CO2 hydrogenation reaction. J. Am. Chem. Soc.146, 5523–5531 (2024). [DOI] [PubMed] [Google Scholar]
  • 38.Rui, N. et al. CO2 hydrogenation to methanol over Pd/In2O3: effects of Pd and oxygen vacancy. Appl. Catal. B218, 488–497 (2017). [Google Scholar]
  • 39.Pokrovski, K., Jung, K. T. & Bell, A. T. Investigation of CO and CO2 adsorption on tetragonal and monoclinic zirconia. Langmuir17, 4297–4303 (2001). [Google Scholar]
  • 40.Keskitalo, T. J., Niemelä, M. K. V. & Krause, A. O. I. Modeling of the adsorption and desorption of CO2 on Cu/ZrO and ZrO2 catalysts. Langmuir23, 7612–7619 (2007). [DOI] [PubMed] [Google Scholar]
  • 41.Liu, M. H., Zou, R. & Liu, C. J. Improvement in the activity of Ru/ZrO2 for CO2 methanation by the enhanced hydrophilicity of zirconia. Appl. Catal. B360, 124549 (2025). [Google Scholar]
  • 42.de Souza, P. M. et al. Effect of zirconia morphology on hydrodeoxygenation of phenol over Pd/ZrO2. ACS Catal.5, 7385–7398 (2015). [Google Scholar]
  • 43.Araújo, T. P. et al. Reaction-induced metal-metal oxide interactions in Pd-In2O3/ZrO2 catalysts drive selective and stable CO2 hydrogenation to methanol. Angew. Chem. Int. Ed.62, e202306563 (2023). [DOI] [PubMed] [Google Scholar]
  • 44.Khudyakov, I. V., Serebrennikov, Y. A. & Turro, N. J. Spin-orbit-coupling in free-radical reactions—on the way to heavy-elements. Chem. Rev.93, 537–570 (1993). [Google Scholar]
  • 45.Takeuchi, H., Ha, D. & King, T. J. Observation of bulk HfO2 defects by spectroscopic ellipsometry. J. Vac. Sci. Technol. A22, 1337–1341 (2004). [Google Scholar]
  • 46.Cho, Y. J. et al. Spectroscopic ellipsometry characterization of high-k dielectric HfO2 thin films and the high-temperature annealing effects on their optical properties. Appl. Phys. Lett.80, 1249–1251 (2002). [Google Scholar]
  • 47.Papernov, S. et al. Optical properties of oxygen vacancies in HfO2 thin films studied by absorption and luminescence spectroscopy. Opt. Express26, 17608–17623 (2018). [DOI] [PubMed] [Google Scholar]
  • 48.Frei, M. S. et al. Atomic-scale engineering of indium oxide promotion by palladium for methanol production via CO2 hydrogenation. Nat. Commun.10, 3377 (2019). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.Duncan, D., Magyari-Köpe, B. & Nishi, Y. Hydrogen doping in HfO2 resistance change random access memory. Appl. Phys. Lett.108, 043501 (2016). [Google Scholar]
  • 50.Lyons, J. L., Janotti, A. & Van de Walle, C. G. The role of oxygen-related defects and hydrogen impurities in HfO2 and ZrO2. Microelectron. Eng.88, 1452–1456 (2011). [Google Scholar]
  • 51.Sklénard, B., Cvitkovich, L., Waldhoer, D. & Li, J. Oxygen vacancy and hydrogen in amorphous HfO2. J. Phys. D: Appl. Phys.56, 245301 (2023). [Google Scholar]
  • 52.Wang, J. J. et al. High-performance MaZrOx (Ma = Cd, Ga) solid-solution catalysts for CO2 hydrogenation to methanol. ACS Catal.9, 10253–10259 (2019). [Google Scholar]
  • 53.Wang, J. J. et al. A highly selective and stable ZnO-ZrO2 solid solution catalyst for CO2 hydrogenation to methanol. Sci. Adv.3, e1701290 (2017). [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Al Abdulghani, A. J. et al. Realizing synergy between Cu, Ga, and Zr for selective CO2 hydrogenation to methanol. Appl. Catal. B355, 124198 (2024). [Google Scholar]
  • 55.Zichittella, G. et al. Quantification of redox sites during catalytic propane oxychlorination by operando EPR spectroscopy. Angew. Chem. Int. Ed.60, 3596–3602 (2021). [DOI] [PubMed] [Google Scholar]
  • 56.Stoll, S. & Schweiger, A. EasySpin, a comprehensive software package for spectral simulation and analysis in EPR. J. Magn. Reson.178, 42–55 (2006). [DOI] [PubMed] [Google Scholar]
  • 57.Araújo, T. P. et al. Impact of hybrid CO2-CO feeds on methanol synthesis over In2O3-based catalysts. Appl. Catal. B285, 119878 (2021). [Google Scholar]
  • 58.Kresse, G. & Furthmüller, J. Efficiency of ab-initio total energy calculations for metals and semiconductors using a plane-wave basis set. Comp. Mater. Sci.6, 15–50 (1996). [DOI] [PubMed] [Google Scholar]
  • 59.Kresse, G. & Furthmüller, J. Efficient iterative schemes for ab initio total-energy calculations using a plane-wave basis set. Phys. Rev. B54, 11169–11186 (1996). [DOI] [PubMed] [Google Scholar]
  • 60.Perdew, J. P., Burke, K. & Ernzerhof, M. Generalized gradient approximation made simple. Phys. Rev. Lett.77, 3865–3868 (1996). [DOI] [PubMed] [Google Scholar]
  • 61.Blochl, P. E. Projector augmented-wave method. Phys. Rev. B50, 17953–17979 (1994). [DOI] [PubMed] [Google Scholar]
  • 62.Kresse, G. & Joubert, D. From ultrasoft pseudopotentials to the projector augmented-wave method. Phys. Rev. B59, 1758–1775 (1999). [Google Scholar]
  • 63.Monkhorst, H. J. & Pack, J. D. Special points for Brillouin-zone integrations. Phys. Rev. B13, 5188–5192 (1976). [Google Scholar]
  • 64.Christensen, A. & Carter, E. A. First-principles study of the surfaces of zirconia. Phys. Rev. B58, 8050–8064 (1998). [Google Scholar]
  • 65.Ricca, C., Ringuedé, A., Cassir, M., Adamo, C. & Labat, F. A comprehensive DFT investigation of bulk and low-index surfaces of ZrO2 polymorphs. J. Comput. Chem.36, 9–21 (2015). [DOI] [PubMed] [Google Scholar]
  • 66.Mukhopadhyay, A. B., Sanz, J. F. & Musgrave, C. B. First-principles investigation of hydroxylated monoclinic HfO2 surfaces. Chem. Mater.18, 3397–3403 (2006). [Google Scholar]
  • 67.Makov, G. & Payne, M. C. Periodic boundary conditions in ab-initio calculations. Phys. Rev. B51, 4014–4022 (1995). [DOI] [PubMed] [Google Scholar]
  • 68.Heyd, J., Scuseria, G. E. & Ernzerhof, M. Hybrid functionals based on a screened Coulomb potential. J. Chem. Phys.124, 8207–8215 (2006). [Google Scholar]
  • 69.Hegner, F. S., Cardenas-Morcoso, D., Gimenez, S., López, N. & Galan-Mascaros, J. R. Level alignment as descriptor for semiconductor/catalyst systems in water splitting: the case of hematite/cobalt hexacyanoferrate photoanodes. ChemSusChem10, 4552–4560 (2017). [DOI] [PubMed] [Google Scholar]
  • 70.Furness, J. W., Kaplan, A. D., Ning, J., Perdew, J. P. & Sun, J. Accurate and numerically efficient r2SCAN meta-generalized gradient approximation. J. Phys. Chem. Lett.11, 8208–8215 (2020). [DOI] [PubMed] [Google Scholar]
  • 71.Henkelman, G., Uberuaga, B. P. & Jónsson, H. A climbing-image nudged elastic band method for finding saddle points and minimum energy paths. J. Chem. Phys.113, 9901–9904 (2000). [Google Scholar]
  • 72.Chiang, Y.-T., et al. Data for ‘Single atoms of indium on hafnia enable superior CO2-based methanol synthesis’. Zenodo 10.5281/zenodo.16881810 (2026). [DOI] [PMC free article] [PubMed]
  • 73.Alvarez-Moreno, M. et al. Managing the computational chemistry big data problem: the ioChem-BD Platform. J. Chem. Inf. Model.55, 95–103 (2015). [DOI] [PubMed] [Google Scholar]
  • 74.Bo, C., Maseras, F. & López, N. The role of computational results databases in accelerating the discovery of catalysts. Nat. Catal.1, 809–810 (2018). [Google Scholar]
  • 75.Ritopecki, M. et al. Data for ‘Single atoms of indium on hafnia enable superior CO2-based methanol synthesis’. ioChem-BD 10.19061/iochem-bd-1-387 (2026). [DOI] [PMC free article] [PubMed]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Supplementary Materials

Supplementary Information (27.4MB, pdf)

Supplementary Notes 1–5, Tables 1–21, Figs. 1–74, captions to Supplementary Videos and references.

Peer Review File (147.2KB, pdf)
Supplementary Video 1 (11.3MB, mp4)

Top-view projections of ab initio MD simulations for pristine In(OH)3-m-HfO2, for the system with one oxygen vacancy, and for configurations with one oxygen vacancy and adsorbed HCOO or CH3O (left to right). Simulations were performed using a temperature ramp from 0 to 553 K over 5 ps in the NVT ensemble with a Nosé–Hoover thermostat and a 1-fs time step. Colour code: Hf, purple; O, salmon pink; In, red; C, black; H, white. The indium trajectory indicates that the single atom undergoes only confined diffusion within the first coordination shell of Hf atoms, and the local mobility is further attenuated in the presence of reaction intermediates.

Supplementary Video 2 (12MB, mp4)

Top-view projections of ab initio MD simulations for pristine In(OH)3-m-ZrO2, for the system with one oxygen vacancy, and for configurations with one oxygen vacancy and adsorbed HCOO or CH3O (left to right). Simulations were performed using a temperature ramp from 0 to 553 K over 5 ps in the NVT ensemble with a Nosé–Hoover thermostat and a 1-fs time step. Colour code: Zr, teal; O, salmon pink; In, red; C, black; H, white. The indium trajectory indicates that the single atom undergoes only confined diffusion within the first coordination shell of Zr atoms, and the local mobility is further attenuated in the presence of reaction intermediates.

Supplementary Video 3 (12MB, mp4)

Top-view projections of ab initio MD simulations for pristine In(OH)3-t-ZrO2, for the system with one oxygen vacancy, and for configurations with one oxygen vacancy and adsorbed HCOO or CH3O (left to right). Simulations were performed using a temperature ramp from 0 to 553 K over 5 ps in the NVT ensemble with a Nosé–Hoover thermostat and a 1-fs time step. Colour code: Zr, teal; O, salmon pink; In, red; C, black; H, white. The indium trajectory indicates that the single atom undergoes only confined diffusion within the first coordination shell of Zr atoms, and the local mobility stays attenuated in the presence of reaction intermediates.

Source Data Fig. 1 (12.3KB, xlsx)

Source data for Fig. 1b–d.

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Data Availability Statement

The data presented in the Article are available via Zenodo (https://doi.org/10.5281/zenodo.16881810)72. All DFT structures, inputs and outputs can be found online in the ioChem-BD repository73,74 at https://doi.org/10.19061/iochem-bd-1-387 (ref. 75). Further data supporting the findings of this study are available in the Article and its Supplementary Information. All other relevant source data are available from the corresponding author upon request. Source data are provided with this paper.


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