Abstract
A key open question in the study of layered superconducting nickelate films is the role that hydrogen incorporation into the lattice plays in the appearance of the superconducting state. Due to the challenges of stabilizing highly crystalline square planar nickelate films, films are prepared by the deposition of a more stable parent compound which is then transformed into the target phase via a topotactic reaction with a strongly reducing agent such as CaH2. Recent studies, both experimental and theoretical, have introduced the possibility that the incorporation of hydrogen from the reducing agent into the nickelate lattice may be critical for the superconductivity. In this work, we use secondary ion mass spectrometry to examine superconducting La1−xXxNiO2 / SrTiO3 (X = Ca and Sr) and Nd6Ni5O12 / NdGaO3 films, along with non-superconducting NdNiO2 / SrTiO3 and (Nd,Sr)NiO2 / SrTiO3. We find no evidence for extensive hydrogen incorporation across a broad range of samples, including both superconducting and non-superconducting films. Theoretical calculations indicate that hydrogen incorporation is broadly energetically unfavorable in these systems, supporting our conclusion that extensive hydrogen incorporation is not generally required to achieve a superconducting state in layered square-planar nickelates.
Subject terms: Superconducting properties and materials; Surfaces, interfaces and thin films
The role of hydrogen in engendering superconductivity in layered nickelates is under intense debate. Here, the authors perform secondary ion mass spectroscopy and see no evidence for extensive hydrogen incorporation into superconducting nickelates.
Introduction
Superconductivity in nickelates has been pursued ever since the discovery of the cuprates1–5, but it was not until 2019 that it was demonstrated in thin films of the infinite-layer compound NdNiO2 via hole doping with Sr6. This discovery introduced a novel family of layered nickelate superconductors that has now been extended to include the Pr- and La- analogs of the infinite-layer compound as well as the five-layer material Nd6Ni5O127–12. While superconducting nickelates exhibit many interesting phenomena13–17, they also represent a unique materials synthesis challenge18–22. In general, layered square-planar nickelates cannot be synthesized directly, instead requiring a two-step fabrication method wherein an oxygen-rich precursor material is grown by traditional thin film deposition methods and then topotactically reduced, as illustrated in Fig. 1a, b23. Typically, the reduction is performed via a thermal anneal employing a chemical reducing agent and oxygen sink, such as H2, NaH, or CaH26,24–26. One of the most pressing open questions is the degree to which the reduction process incorporates hydrogen into the nickelate film, and whether hydrogen is important in stabilizing superconductivity.
A notable recent study by Ding et al. reported that hydrogen is critical for the emergence of superconductivity, requiring a stoichiometry around Nd0.8Sr0.2NiO2H0.2527. However, in this study, hydrogen and oxygen stoichiometry are highly correlated through reduction. Furthermore, recent results using alternative reduction processes with no hydrogen source have cast doubt on the role of incorporated hydrogen on the electronic state9,25. Previous theoretical works have argued that RNiO2 (R = La, Nd) could be energetically unstable with respect to topotactic hydrogen, significantly altering the electronic structure28–30. In light of Ref. 27, some calculations have shown that an optimal H concentration may be beneficial to promote superconductivity31, while others have indicated that the electron phonon-coupling in hydrogen-intercalated nickelates is not strong enough to drive electron pairing and thus cannot be responsible for the superconductivity32.
Given the differing conclusions in the literature, a comprehensive examination of the role of hydrogen incorporation in superconducting nickelates is urgently needed. To understand more broadly applicable trends rather than the specifics of one sample type or fabrication protocol, we used time-of-flight secondary ion mass spectrometry (ToF-SIMS) to study the relationship between hydrogen incorporation and superconductivity in a broad range of nickelate films grown and reduced by three different research groups. The films used in this study were grown via either molecular beam epitaxy (MBE) or pulsed laser deposition (PLD), in a variety of geometries, and reduced with CaH2 at different conditions. As the energetics of incorporating hydrogen may vary greatly depending on stoichiometry and structure28, we compared multiple nickelate systems, including superconducting examples of La1−xCaxNiO2, La1−xSrxNiO2, and Nd6Ni5O12. We also examined non-superconducting NdNiO2 and Nd1−xSrxNiO2. We find no evidence that a large concentration of incorporated hydrogen is necessary to observe superconductivity. Instead, a wide range of films, superconducting and non-superconducting, exhibit H− intensities that are similar to the substrate background. Theoretical calculations support this picture, revealing that hydrogen incorporation is energetically unfavorable across all materials studied in this work.
Results
As illustrated in Fig. 1c, ToF-SIMS is a destructive technique in which an ion beam sputters through the film, and ejected molecular ions are analyzed using a mass spectrometer to provide a depth- and element-resolved picture of the ejected species and, thereby, chemical composition. ToF-SIMS allows the isolation and identification of elemental H±, and O± as well as larger ejected molecules such as OH±, , and , as shown in Fig. 1d. The change in molecular species intensity over time as the sample is sputtered results in a depth-resolved understanding of the chemical composition with depth, in which layers only a few nm thick may be readily separated.
However, the measured intensity depends significantly on the sputtering conditions, chemical environment, film composition, density, electronic state, and prevalence of structural defects. Absolute scaling of stoichiometry and depth, therefore, requires calibration standards with known stoichiometry and a similar chemical environment to the films of interest. Since the defect levels and chemistry in superconducting nickelates evolve extensively during the reduction process, such standards are nearly impossible to obtain, and we instead adopt the convention of Ding et al., in which the hydrogen level observed in the SrTiO3 or NdGaO3 substrate is considered to be the background level representing minimal hydrogen27.
Superconducting La1−x(Sr,Ca)xNiO2
We first present results from two doped superconducting infinite-layer systems: La0.78Ca0.22NiO2 and La0.8Sr0.2NiO2 grown by pulsed laser deposition on SrTiO3 substrates, as described in the Methods section. The quality of representative samples has been previously demonstrated through X-ray diffraction (XRD), cross-sectional scanning transmission electron microscopy (STEM), and electron energy loss spectroscopy (EELS) analysis33,34. To ensure depth-wise uniformity, the film thickness was limited to below 6 nm. Figure 2a shows the superconducting transitions for these samples, which have a residual resistivity ratio ≈4.1, comparable to the highest reported values so far21,35. After reduction, an amorphous SrTiO3 cap is deposited to act as an oxidation barrier, with varying thickness due to the challenges associated with room-temperature growth. Film and cap thicknesses were verified using X-ray reflectometry (XRR), shown in Fig. 2b, which reveals that the initial perovskite phases are uniform with the expected scattering length densities. After reduction, the sharp interfaces slightly roughen, likely linked to the energetic deposition of the caps. While here we focus on superconducting films, we also measured the as-grown perovskite film from the same growth, the details of which can be found in the Supplementary Information.
To understand the sensitivity of this experiment to hydrogen, we first compare the overall hydrogen content of as-grown La0.78Ca0.22NiO3 and superconducting La0.78Ca0.22NiO2 samples in Fig. 2c. Here, we show the H− peak for both samples integrated across all sputtering times. The as-grown sample contains negligible hydrogen within either the film or substrate, indicating an extremely clean growth and handling process. The superconducting sample, in contrast, exhibits a clearly-resolved H− peak much larger than the measurement background. The additional hydrogen introduced into the reduced superconducting sample is easily detectable. We next compare the integrated peak intensity, indicated by the shaded region, over sputter time (depth). For this same pair of samples, Fig. 2d shows the H− intensity in just the SrTiO3 substrate. Interestingly, while the substrate intensity of the as-grown sample is less than 40 counts per frame, the SrTiO3 substrate associated with the superconducting La0.78Ca0.22NiO2 is an excellent match for the samples in Ding et al.27, with approximately 200 counts per frame of H−. Thus we may be confident that the observed hydrogen levels in the substrates are above the instrumental detection limit and closely match previous observations.
Having firmly established that the hydrogen levels reported previously in superconducting films are readily detectable with the instrument used in this study, we show SIMS data from superconducting La0.78Ca0.22NiO2 and La0.8Sr0.2NiO2 in Fig. 2e, f. Here the and intensities are normalized to their maximum values while the H− and OH− intensities are normalized to the steady-state value within the substrate; alternative normalizations and raw counts are shown in Supplementary Note 5. The film and substrate positions are indicated by the peak and dip in and intensities, respectively. The trends in H− and OH− intensities clearly disagree with prior reports: the superconducting La0.78Ca0.22NiO2 and La0.8Sr0.2NiO2 films do not exhibit the large 1–3 order of magnitude increases in H− or OH− signal which would be expected for extensive, multiple-percent hydrogen incorporation27,36–38.
Instead, apart from the quickly decaying signal associated with surface adsorbates, the H− and OH− signals within the La0.78Ca0.22NiO2 film are invariant within a factor of two of the signals within the substrate. Interestingly, the La0.78Ca0.22NiO2 sample, with a thicker amorphous SrTiO3 cap (29 nm), exhibits higher H− intensity within the cap than within the nickelate film, concentrated near the interface. In the La0.8Sr0.2NiO2 sample with a thinner SrTiO3 cap (approximately 6 nm), H− is much lower in the nickelate film than either the SrTiO3 substrate or the other superconducting film. We speculate that the SrTiO3 cap may play a role in hydrogen capture or transport39. Most importantly, the coexistence of different low hydrogen concentrations with superconductivity definitively demonstrates that extensive hydrogen doping is not required for superconductivity in the infinite-layer nickelates.
Superconducting Nd6Ni5O12
To test whether our findings are applicable more broadly within the square-planar nickelate family, beyond the infinite-layer structure, we examine the superconducting quintuple-layer nickelate Nd6Ni5O12. This film consists of 23 nm Nd6Ni5O12 synthesized on NdGaO3 (110) (see Synthesis Section 2 for details), with 10 nm titanium followed by 100 nm platinum patterned on the film surface as electrodes. Figure 3a shows the zero-field superconducting transition of this sample from Ref. 10, with a residual resistivity ratio of 3.8. Further characterization of this sample can be found in Ref. 10. Figure 3b shows a representative STEM image of this sample, revealing the five-layer square-planar structure.
Figure 3c plots the SIMS depth profile of this superconducting sample. and peaks are normalized to their maximum values, and clearly identify the electrode, film, and substrate regions. As before, we obtain information regarding the hydrogen concentration by examining the relative intensity of the H− and OH− peaks in the film and substrate. An advantage of the relatively thick electrode is the removal of surface contaminant effects from the measurement. Both the H− and OH− intensities are low in the platinum and titanium, increase slowly in the Nd6Ni5O12 film, and further increase deeper into the NdGaO3 substrate. Similar to the superconducting La0.8Sr0.2NiO2 sample, we find that the hydrogen content appears to be highest in the substrate, although again the nickelate film and substrate intensities are very similar. Once again there is no evidence of an order of magnitude increase in H− intensity in the film.
Non-superconducting films
With little evidence of extensive hydrogen incorporation in high-quality superconducting samples, the question remains whether some structures or processes are more susceptible to hydrogen. We speculate that films with increased defect densities, whether due to growth conditions or from long or overly aggressive reduction treatments, may incorporate additional hydrogen as a defect compensation mechanism. These films do not exhibit superconductivity, but do provide a mechanism for understanding the extent to which hydrogen can be incorporated during reduction and whether it might inhibit the fabrication of superconducting films.
We first consider 17 nm NdNiO3/SrTiO3 (001) films grown by MBE and subjected to an incomplete reduction, at a lower temperature but for longer times compared to the optimized treatment for achieving high-quality NdNiO2. XRD scans shown in Fig. 4a indicate a reduction toward the infinite-layer NdNiO2 phase, but with a modest decrease in crystallinity. Electron microscopy measurements on an equivalent sister sample, shown in Fig. 4b, reveal the presence of defects and phase boundaries, as expected.
The film was cut in half before reduction, and both as-grown and reduced samples were measured using ToF-SIMS, yielding the intensity depth profiles in Fig. 4c, d. As before, the NiO−, , and peaks are normalized to their maximum value while the H− and OH− are normalized to the steady-state values in the substrate. The H− and OH− signals are slightly higher in the SrTiO3 substrate than in the as-grown NdNiO3 film. Upon reduction, H− and OH− increase at the surface of the films, and the lineshape of this increase only partially matches that of various peaks including and Ca+ (see Supplementary Note 3), indicating that they do not solely originate from surface adsorbates introduced during the reduction process. Near the substrate interface, which has previously been shown to be the highest-quality region of the film20,33, the H− intensity remains lower than in the SrTiO3 substrate. Thus, while some insignificant hydrogen content may be introduced during the reduction process, it seems to be limited near the surface of these uncapped films.
We next present our findings on non-superconducting infinite-layer Nd0.8Sr0.2NiO2/SrTiO3 films, which are appropriately doped to result in superconductivity but were reduced aggressively at high temperatures (600 °C compared to ~300 °C); this reduction is enough to significantly hydrogen-dope a similar perovskite material, BaZrO338. Furthermore, a common practice is to cap perovskite nickelate films with SrTiO3 prior to reduction to provide balanced strain for structural stability of the film throughout its entire thickness6,20. We, therefore, compare samples with and without a SrTiO3 capping layer grown in situ on the 10 nm Nd0.8Sr0.2NiO3 before reduction.
XRD measurements, shown in Fig. 5a, reveal that the crystalline quality of both capped and uncapped films prior to reduction is lower, with broader, lower-intensity film peaks. Importantly, while the (002) Nd0.8Sr0.2NiO3 peak is sharp, the expected perovskite (001) film peak is suppressed; further higher-resolution measurements, shown in Supplementary Fig. 12, resolve the presence of potential Ruddlesden–Popper phase. As before, the topotactic reduction process reduces the c-axis lattice parameter, but the peak intensity drops dramatically. Transmission electron micrographs of these samples, such as that shown in Fig. 5b, reveal the segregation of the film into multiple crystalline phases and amorphous-like regions. Thus, unlike the uniform superconducting samples, the aggressive reduction of these films is non-uniform and disordered, resulting in increased mosaicity and a loss of crystalline quality. This is corroborated by electronic transport, as discussed further in the Supplementary Information, which indicates that capped and uncapped films exhibit sharply different resistivities.
As shown in Fig. 5c, which plots SIMS measurements from the as-grown, uncapped Nd0.8Sr0.2NO3 film, the initial transient region shows much higher yields of all ions which may indicate differences in crystallinity near the surface, potentially from the emergence of a polycrystalline scale layer in uncapped samples over time21. In the bulk region, the H− and OH− intensities are similar to the substrate.
Despite the significant difference in crystalline quality and reduction conditions, the effects of reduction are similar to our other observations. Figure 5d shows the integrated peak intensities in the reduced SrTiO3/Nd0.8Sr0.2NiO2 bilayer. Once again, H− and OH− intensities are elevated at the cap/film interface—though over a broader spatial extent—with almost a 50% increase over the baseline in the substrate. Thus, while the SrTiO3 cap appears to trap hydrogen, this enhancement is again far below the orders of magnitude that would be expected for significant hydrogen incorporation, remaining within a factor of two of the substrate values.
Theoretical Calculations
To further understand the lack of hydrogen incorporation in the nickelates analyzed above via SIMS (both superconducting and non-superconducting), density-functional theory (DFT)-based calculations were performed to explore the energetics of topotactic hydrogen in infinite-layer RNiO2 (R = rare-earth, both doped and undoped) as well as in the quintuple-layer nickelate Nd6Ni5O12. To investigate whether it is energetically favorable to intercalate hydrogen, we compute the hydrogen binding energy (Eb) for the topotactic process as done in previous work28:
1 |
where E[RNiO2] and E[RNiO2H] are the total energies for the infinite-layer RNiO2 and hydride-oxide RNiO2H compounds, μ[H] = E[H2]/2 is the chemical potential of H, and n represents the number of H atoms in the (super)cell. Analogous expressions are used for R0.75(Sr,Ca)0.25NiO2 and Nd6Ni5O12. A positive (negative) Eb indicates that the topotatic hydrogen intercalation is favorable (unfavorable). The calculated binding energies are summarized in Fig. 6. We find that the incorporation of H into RNiO2, R0.75(Sr,Ca)0.25NiO2, Nd6Ni5O12 is systematically unfavorable, in agreement with experiments (only for LaNiO2 a very small positive Eb value of approximately 10 meV/H is obtained).
Discussion
In summary, we searched for hydrogen across a wide range of superconducting and non-superconducting layered nickelate films, with different cation and dopant chemistry, structures, growth methods, reduction conditions, and crystalline quality. Not only did we find no significant concentrations of hydrogen in superconducting films, but we were also unable to use excessive reduction temperature or time to force significant amounts of hydrogen into these structures. These results are consistent with first-principles calculations which show that hydrogen incorporation is energetically unfavorable in both infinite-layer and quintuple-layer nickelates. At most, we observed increased concentrations by a factor of two from the trace amounts already present within the substrates. Furthermore, hydrogen, as hydride or hydroxide ions (H− and OH−), was more likely to be found in SrTiO3 caps or in the substrates than in the nickelate films themselves. This propensity for hydrogen to appear in higher concentrations in SrTiO3 capping layers and SrTiO3/nickelate interfaces is interesting in the context of recent work showing the important role such capping layers can play in facilitating the reduction process21.
It should be noted that our measurements generally reveal as-grown samples with hydrogen levels at or below the SIMS detection limit prior to reduction, although it is, of course, not possible to completely eliminate hydrogen from any material system. CaH2 does appear to introduce hydrogen into the system, as evidenced by changes in both film and substrate levels in as-grown La0.78Ca0.22NiO3 and reduced La0.78Ca0.22NiO2 films, for example. However, topotactic reduction appears unable to introduce hydrogen into these nickelates at the levels near ANiO2H0.25 (A = La,Sr,Nd,Ca) previously cited as critical doping for superconductivity27. At such high levels of incorporated hydrogen, Ding et al. observed H− intensities approximately 40× to 60× the substrate concentration, and approaching a factor of 200× to 600× near the film surface. We find no evidence of such large relative H− intensities in the films studied in this work.
Therefore, although superconductivity is highly sensitive to reduction optimization, this is likely due to the crystalline quality and oxygen stoichiometry, and not hydrogen stoichiometry. Of course, this study does not demonstrate that superconductivity requires the complete absence of incorporated hydrogen. This work instead indicates that many films appear resistant to hydrogen infiltration and that superconductivity may be readily realized at very low hydrogen levels for which no theoretical evidence supports hydrogen-mediated superconductivity.
Note added: Recently, independent SIMS experiments performed by Zeng et al.40 and Gonzalez et al.41 also concluded that extensive hydrogen incorporation is unnecessary for superconductivity in the infinite-layer nickelates, in agreement with this work.
Methods
Sample synthesis: thin film deposition and reduction
La1−x(Ca,Sr)xNiO2 films
Thin films, ≈ 6 nm thick, of the infinite-layer nickelates La0.78Ca0.22NiO2 and La0.8Sr0.2NiO2 were grown on SrTiO3 (001) substrates using pulsed laser deposition (PLD) and CaH2 topotactic reduction33,34. SrTiO3 (001) substrates were etched with hydrofluoric acid and annealed in air at 900 °C for 90 min before deposition. This is to maximize the TiO2 termination which serves to minimize disordered Ruddlesden–Popper type growth. We first grow the perovskite phase using PLD with the following optimal set of parameters: Tgrowth = 575 °C, = 150 mTorr (1 Torr = 133.322 Pa), J = 2.5 J/cm2. Afterwards, the film was post-annealed at growth temperature under the same oxygen partial pressure for 10 min followed by cooling at 8 °C/minute. The topotactic phase transition to the infinite-layer phase was mediated by the substrate strain and performed in the same PLD vacuum chamber with a base pressure of less than 1 × 10−6 Torr. The reduction environment was achieved by heating approximately 0.1 g of CaH2 powder to obtain a (H2 and other species) pressure in the range of approximately 0.1–0.3 Torr. Samples are annealed at 340 °C for 1 h. After reduction, samples were capped with amorphous SrTiO3 at room temperature using PLD to protect the surface from reoxidation. Mild oxidation damage to the top nickelate surface can be expected in this process.
Nd6Ni5O12 and NdNiO2 Films
We use ozone-assisted molecular beam epitaxy (MBE) to synthesize the precursor Nd6Ni5O16/NdGaO3 (110) and NdNiO3/SrTiO3 (001) films in Figs. 3 and 4, respectively. To calibrate the nickel and neodymium elemental fluxes, we synthesize NiO on MgO (001) and Nd2O3 on yttria-stabilized zirconia (YSZ (111)), then measure the film thickness via X-ray reflectivity. Next, we synthesize NdNiO3/LaAlO3 (001) and use the c-axis lattice constant and film thickness to refine the Nd/Ni ratio and monolayer dose, respectively. Using the optimized neodymium and nickel shutter times from the synthesis of NdNiO3/LaAlO3, we synthesize the Ruddlesden–Popper nickelates via monolayer shuttering. Both NdNiO3 and Ruddlesden–Popper nickelates are synthesized at a substrate temperature of 500–600 °C with approximately 1.0 × 10−6 Torr distilled ozone (Heeg Vacuum Engineering). The MBE synthesis conditions and calibration scheme are described in Refs. 10,22; similar techniques were also used in Refs. 42,43.
The perovskite and Ruddlesden-Popper films are reduced to the square-planar phase via CaH2 topotactic reduction. The following methods are similar to those used elsewhere10,20,44. First, the as-grown films are cut into identical pieces, and the pieces to be reduced are tightly wrapped in aluminum foil (All-Foils) to avoid direct contact between the film and CaH2. Each film is then placed in a borosilicate tube (Chemglass Life Sciences) with approximately 0.1 g of CaH2 pieces (>92%, Alfa Aesar). The borosilicate tube is pumped down to <0.5 mTorr, sealed, and then heated for several hours at 290 °C in a convection oven (Heratherm, Thermo Fisher Scientific) with a 10 °C min−1 heating rate.
Nd0.8Sr0.2NiO3 films
Polycrystalline targets of NdNiO3 and Nd0.8Sr0.2NiO3 were prepared by the liquid-mix technique45,46. A 10 nm thick Nd0.8Sr0.2NiO3 films were grown on (001) SrTiO3 substrates using a Neocera PLD system equipped with an in-situ RHEED (Staib Instruments, Germany). The depositions were conducted using a KrF excimer laser operating at 2 Hz with a fluence of 1.5 J cm−2. During the deposition, a dynamic oxygen pressure of 150 mTorr was maintained, and the substrate temperature was 735 °C. The optional 10 nm thick SrTiO3 capping layer was grown at the same condition as the film. After the deposition, all samples were in-situ annealed at the deposition temperature in an oxygen atmosphere of 500 Torr for 30 min and subsequently cooled to room temperature at a rate of 15 °C min−1.
The as-grown films were sealed in evacuated (approximately 1 mTorr) quartz ampoules with 0.1 g CaH2 powder (90%–95%, Thermo Scientific Chemicals). The ampoules were then baked in a muffle furnace at 600 °C for up to 10 h. The temperature ramp rate was fixed at 10 °C min−1. Once the ampoules were opened, the reduced films were immediately rinsed in n-butanol and isopropanol in an ultrasonic bath for 3 min.
X-ray diffraction
X-ray diffraction (XRD) measurements were performed at room temperature before and after reduction by each group on commercially available X-ray diffractometers using Cu Kα1 (λ = 1.5406 Å) radiation.
X-ray reflectometry
X-ray reflectometry (XRR) measurements were performed at ambient conditions in a horizontal configuration using a Rigaku SmartLab diffractometer. The incident beam was collimated using the parallel beam slit and an incident slit of 30 μm height to improve Q-resolution. The Cu Kα1 wavelength (λ = 1.5406 Å) was isolated by using a Ge-(220) × 2 monochromator. The scattered beam was further collimated by a 0.2 mm receiving slit. The data were reduced using the reductus web-service47 and fit to a slab model using Refl1D48.
Time-of-flight secondary ion mass spectroscopy
Time-of-flight SIMS was performed using an IONTOF IV (Münster, Germany) equipped with a 20 keV cluster source for sputtering, a 30 keV liquid metal ion source for analysis, and a time-of-flight mass analyzer. Depth profiling was performed in non-interlaced mode with 1 scan of analysis with a lateral resolution of (128 × 128) pixels, 10 scans of sputtering, and at least 0.5 s of charge compensation per cycle, where both the analysis and sputter rasters were kept inside a (500 × 500) μm area. The corresponding ion doses were 1.9 × 109 ions/cm2 (0.12 pA) for Bi3+, and between 2.1 × 1014 ions/cm2 to 2.6 × 1014 ions/cm2 (5.1–6.4 nA) per cycle for the cluster source due to day-to-day fluctuations in the beam current. On especially insulating samples or substrates, a small drop of silver paint was used to electrically contact the sample surface to the sample holder for further charge compensation.
For reliable detection of H− ions, contributions from residual gases were minimized by keeping the chamber pressure below 5 × 10−7 Pa. Both negative and positive ions were analyzed at separate spots, and the signal rastered over multiple spots was averaged after normalizing for the highest intensity ion unique to the substrate ( or ).
Spectra were analyzed using SurfaceLab to define a region of interest, perform mass calibrations, identify peaks with the appropriate compounds, and extract the total integrated peak intensity as a function of sputter time. As many molecular compounds can have similar mass, peak assignments were made carefully, considering factors such as mass offset, isotopic distribution, and similarity in profile shape to other known oxide and hydroxide species.
Electron microscopy
All cross-sectional STEM specimens were prepared by the standard focused ion beam (FIB) lift-out procedure and imaged in high-angle annular dark-field (HAADF)-STEM configuration. The instrument, processing, and experimental details for specific samples are as follows:
Nd6Ni5O12. Preparation: Thermo Fisher Scientific Helios G4 UX and FEI Helios 660 FIBs. Imaging: probe-corrected Thermo Fisher Scientific Spectra 300 X-CFEG operating at 300 kV, 19 mrad convergence semi-angle, 33 mrad inner collection angles.
NdNiO2. Preparation: FEI Helios 660 FIBs with final polishing at 5 kV accelerating voltage and 41 pA probe current. Imaging: Thermo Fisher 615 Scientific Titan Themis Z G3 operating at 200 kV, 18.9 mrad convergence semi-angle, and 68 (280) mrad inner (outer) collection angles.
SrTiO3-capped (Nd,Sr)NiO3−x and (Nd,Sr)NiO2. Preparation: Thermo Fisher Scientific Helios G4 UXe PFIB Dual Beam, with final polishing at 5 kV accelerating voltage. Imaging: Thermo Fisher Scientific Spectra 200 operating at 200 kV, 25 mrad convergence semi-angle, 54 (200) mrad inner (outer) collection angles, and probe current of approximately 20 pA. Energy dispersive X-ray spectroscopy (EDS) chemical mapping was performed on the same instrument with Bruker Dual-X X-ray detectors an electron beam current of approximately 100 pA.
Computational methods
Density-functional theory (DFT)-based calculations were performed to theoretically explore the energetics of topotactic hydrogen in the infinite-layer nickelate RNiO2 (R = La, Nd, both doped and undoped) as well as in the quintuple-layer nickelate Nd6Ni5O12. For RNiO2Hδ, R0.75(Sr,Ca)0.25NiO2Hδ, and Nd6Ni5O12Hδ (δ = 0, 1) structural relaxations were performed using the VASP code49–51 with the the Perdew–Burke–Ernzerhof version of the generalized gradient approximation (GGA-PBE)52. For the infinite-layer materials (RNiO2 and R0.75(Sr,Ca)0.25NiO2) up to a 2 × 2 × 2 supercell was used to accommodate the appropriate H content and/or (Sr,Ca)-doping level. We place the topotatic-H at the positions of the (removed) apical oxygens as this was shown to be the most energetically favorable position for H-incorporation from previous works27–30. GGA-PBE was chosen as it provides lattice constants in close agreement with experimental data, as shown in Supplementary Note H. A Γ-centered 13 × 13 × 15 (9 × 9 × 11) k-mesh was used for the 1 × 1 × 1 unit cells (2 × 2 × 2 supercells) with a 0.05 eV Gaussian smearing. For Nd6Ni5O12, a Γ-centered 9 × 9 × 9 k-mesh with a 0.05 eV Gaussian smearing was used. The size of the plane-wave basis sets was set with a kinetic energy cut-off of 520 eV. For R = Nd, we have used a pseudopotential where the Nd(4f) electrons are frozen in the core. To compute the chemical potential of hydrogen (μ[H]), we optimized an H2 dimer in 153 Å3 box with energy cutoff set to 325 eV.
Supplementary information
Acknowledgements
D.F.S., G.A.P., and J.A.M. acknowledge support from the US Department of Energy, Office of Basic Energy Sciences, Division of Materials Sciences and Engineering, under Award No. DE-SC0021925. L.E.C. and A.A. acknowledge support from the Ministry of Education (MOE), Singapore, under its Tier-2 Academic Research Fund (AcRF), Grants No. MOET2EP50121-0018 and MOE-T2EP50123-0013, and the SUSTech-NUS Joint Research Program. J.R. and M.S. acknowledge support from an ARO MURI program with award no. W911NF-21-1-0327, and the National Science Foundation of the United States under grant number DMR-2122071. R.K.P. and S. Middey acknowledge MHRD, Government of India for financial support under the STARS research funding scheme (grant number: STARS/APR2019/PS/156/FS). J.A.M., A.S.B., and H.L. acknowledge support from NSF grant no. DMR-2323971. I.E. and Y.Z. were supported by the Rowland Institute at Harvard. K.J. and Y.T.S. acknowledge support from USC Viterbi startup funding and the USC Research and Innovation Instrumentation Award. B.H.G. and L.F.K acknowledge support from the Platform for the Accelerated Realization, Analysis, and Discovery of Interface Materials (PARADIM) and the Packard Foundation. Materials growth and electron microscopy were supported in part by PARADIM under NSF Cooperative Agreement no. DMR-2039380. Focused ion beam sample preparation was performed in part at the Harvard University Center for Nanoscale Systems (CNS); a member of the National Nanotechnology Coordinated Infrastructure Network (NNCI), which is supported by the National Science Foundation under NSF award no. ECCS-2025158. Transmission electron microscopy was carried out in part through the use of MIT.nano’s facilities. Electron microscopy data were acquired in part at the Core Center of Excellence in Nano Imaging at USC. Electron microscopy was performed in part at the Cornell Center for Materials Research (CCMR) Shared Facilities, which are supported by the NSF MRSEC Program (No. DMR-1719875). P.P.B. and P.Q. received funding from the NRC RAP. G.A.P. acknowledges additional support from the Paul and Daisy Soros Fellowship for New Americans. D.F.S. and G.A.P acknowledge support from the NSF Graduate Research Fellowship Grant DGE-1745303. We thank Kyuho Lee for insightful discussions. We also thank Kerry Sieben for X-ray assistance. We thank Hanjong Paik for supporting the growth of the n = 5 superconducting sample. Research was performed in part at the NIST Center for Nanoscale Science and Technology. Certain commercial equipment, instruments, software, or materials are identified in this paper in order to specify the experimental procedure adequately. Such identifications are not intended to imply recommendation or endorsement by NIST, nor it is intended to imply that the materials or equipment identified are necessarily the best available for the purpose.
Author contributions
P.P.B., S. Muramoto, and A.J.G. performed and analyzed ToF-SIMS measurements. P.P.B., A.J.G., and P.Q. performed XRR and analyzed and interpreted all reflectometry data. L.E.C. deposited and reduced La0.8Sr0.2NiO3 and La0.78Ca0.22NiO3 films, and performed electronic characterization. NdNiO3 and Nd6Ni5O16 films were fabricated by G.A.P., D.F.S., and Q.S., while G.A.P. and D.F.S. performed reduction and electronic characterization. Nd0.8Sr0.2NiO3 films were deposited and initially characterized by R.K.P. and S. Middey, and reduced by M.S. TEM measurements were performed and analyzed by Y.Z., I.E., K.J., Y.T.S., B.H.G., and L.F.K. H.L. and A.S.B. performed the theoretical calculations. The study was designed by A.J.G., P.P.B., P.Q., D.F.S., J.A.M., A.A., and J.R. The paper was written by P.P.B. and A.J.G. with input from all authors.
Peer review
Peer review information
Nature Communications thanks Steve Harvey and the anonymous, reviewer(s) for their contribution to the peer review of this work. A peer review file is available.
Data availability
The data supporting this study have been deposited in Figshare.
Code availability
Analysis was performed by open-source Python packages, including NumPy, matplotlib, and SciPy. SIMS data reduction was performed using the commercial software SurfaceLab 7. All density-functional theory calculations were performed with the Vienna Ab-Initio Simulation Package (VASP).
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.
These authors contributed equally: Purnima P. Balakrishnan, Dan Ferenc Segedin, Lin Er Chow
Contributor Information
Purnima P. Balakrishnan, Email: purnima.balakrishnan@nist.gov
Jayakanth Ravichandran, Email: j.ravichandran@usc.edu.
A. Ariando, Email: ariando@nus.edu.edu
Julia A. Mundy, Email: mundy@fas.harvard.edu
Alexander J. Grutter, Email: alexander.grutter@nist.gov
Supplementary information
The online version contains supplementary material available at 10.1038/s41467-024-51479-3.
References
- 1.Anisimov, V. I., Bukhvalov, D. & Rice, T. M. Electronic structure of possible nickelate analogs to the cuprates. Phys. Rev. B59, 7901–7906 (1999). 10.1103/PhysRevB.59.7901 [DOI] [Google Scholar]
- 2.Chaloupka, J. & Khaliullin, G. Orbital order and possible superconductivity in LaNiO3/LaMO3 superlattices. Phys. Rev. Lett.100, 016404 (2008). 10.1103/PhysRevLett.100.016404 [DOI] [PubMed] [Google Scholar]
- 3.Hansmann, P. et al. Turning a nickelate fermi surface into a cupratelike one through heterostructuring. Phys. Rev. Lett.103, 016401 (2009). 10.1103/PhysRevLett.103.016401 [DOI] [PubMed] [Google Scholar]
- 4.Hansmann, P., Toschi, A., Yang, X., Andersen, O. K. & Held, K. Electronic structure of nickelates: From two-dimensional heterostructures to three-dimensional bulk materials. Phys. Rev. B82, 235123 (2010). 10.1103/PhysRevB.82.235123 [DOI] [Google Scholar]
- 5.Han, M. J., Wang, X., Marianetti, C. A. & Millis, A. J. Dynamical mean-field theory of nickelate superlattices. Phys. Rev. Lett.107, 206804 (2011). 10.1103/PhysRevLett.107.206804 [DOI] [PubMed] [Google Scholar]
- 6.Li, D. et al. Superconductivity in an infinite-layer nickelate. Nature572, 624–627 (2019). 10.1038/s41586-019-1496-5 [DOI] [PubMed] [Google Scholar]
- 7.Osada, M. et al. A superconducting praseodymium nickelate with infinite layer structure. Nano Lett.20, 5735–5740 (2020). 10.1021/acs.nanolett.0c01392 [DOI] [PubMed] [Google Scholar]
- 8.Osada, M., Wang, B. Y., Lee, K., Li, D. & Hwang, H. Y. Phase diagram of infinite layer praseodymium nickelate Pr1−xSrxNiO2 thin films. Phys. Rev. Mater.4, 121801 (2020). 10.1103/PhysRevMaterials.4.121801 [DOI] [Google Scholar]
- 9.Wei, W., Vu, D., Zhang, Z., Walker, F. J. & Ahn, C. H. Superconducting Nd1−xEuxNiO2 thin films using in situ synthesis. Sci. Adv.9, eadh3327 (2023). 10.1126/sciadv.adh3327 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 10.Pan, G. A. et al. Superconductivity in a quintuple-layer square-planar nickelate. Nat. Mater.21, 160–164 (2022). 10.1038/s41563-021-01142-9 [DOI] [PubMed] [Google Scholar]
- 11.Zeng, S. et al. Superconductivity in infinite-layer nickelate La1−xCaxNiO2 thin films. Sci. Adv.8, eabl9927 (2022). 10.1126/sciadv.abl9927 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 12.Osada, M. et al. Nickelate superconductivity without rare-earth magnetism: (La,Sr)NiO2. Adv. Mater.33, 2104083 (2021). 10.1002/adma.202104083 [DOI] [PubMed] [Google Scholar]
- 13.Fowlie, J. et al. Intrinsic magnetism in superconducting infinite-layer nickelates. Nat. Phys.18, 1043–1047 (2022). 10.1038/s41567-022-01684-y [DOI] [Google Scholar]
- 14.Lee, K. et al. Linear-in-temperature resistivity for optimally superconducting (Nd,Sr)NiO2. Nature619, 288–292 (2023). 10.1038/s41586-023-06129-x [DOI] [PubMed] [Google Scholar]
- 15.Lane, C. et al. Competing incommensurate spin fluctuations and magnetic excitations in infinite-layer nickelate superconductors. Commun. Phys.10.1038/s42005-023-01213-0 (2023).
- 16.Lu, H. et al. Magnetic excitations in infinite-layer nickelates. Science373, 213–216 (2021). 10.1126/science.abd7726 [DOI] [PubMed] [Google Scholar]
- 17.Zeng, S. et al. Phase diagram and superconducting dome of infinite-layer Nd1−xSrxNiO2 thin films. Phys. Rev. Lett.125, 147003 (2020). 10.1103/PhysRevLett.125.147003 [DOI] [PubMed] [Google Scholar]
- 18.Zhou, X. et al. Experimental progress on the emergent infinite-layer Ni-based superconductors. Mater. Today55, 170–185 (2022). 10.1016/j.mattod.2022.02.016 [DOI] [Google Scholar]
- 19.Ferenc Segedin, D. et al. Limits to the strain engineering of layered square-planar nickelate thin films. Nat. Commun.14, 1468 (2023). 10.1038/s41467-023-37117-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lee, K. et al. Aspects of the synthesis of thin film superconducting infinite-layer nickelates. APL Mater.10.1063/5.0005103 (2020).
- 21.Parzyck, C. T. et al. Synthesis of thin film infinite-layer nickelates by atomic hydrogen reduction: clarifying the role of the capping layer. APL Mater.12, 031132 (2024). 10.1063/5.0197304 [DOI] [Google Scholar]
- 22.Pan, G. A. et al. Synthesis and electronic properties of Ndn+1NinO3n+1 Ruddlesden-Popper nickelate thin films. Phys. Rev. Mater.6, 055003 (2022). 10.1103/PhysRevMaterials.6.055003 [DOI] [Google Scholar]
- 23.Momma, K. & Izumi, F. VESTA: a three-dimensional visualization system for electronic and structural analysis. J. Appl. Crystallogr.41, 653–658 (2008). 10.1107/S0021889808012016 [DOI] [Google Scholar]
- 24.Parzyck, C. T. et al. Absence of 3a0 charge density wave order in the infinite-layer nickelate NdNiO2. Nat. Mater.10.1038/s41563-024-01797-0 (2024). [DOI] [PMC free article] [PubMed]
- 25.Wei, W. et al. Solid state reduction of nickelate thin films. Phys. Rev. Mater.7, 013802 (2023). 10.1103/PhysRevMaterials.7.013802 [DOI] [Google Scholar]
- 26.Hayward, M. A., Green, M. A., Rosseinsky, M. J. & Sloan, J. Sodium hydride as a powerful reducing agent for topotactic oxide deintercalation: synthesis and characterization of the nickel(i) oxide LaNiO2. J. Am. Chem. Soc.121, 8843–8854 (1999). 10.1021/ja991573i [DOI] [Google Scholar]
- 27.Ding, X. et al. Critical role of hydrogen for superconductivity in nickelates. Nature615, 50–55 (2023). 10.1038/s41586-022-05657-2 [DOI] [PubMed] [Google Scholar]
- 28.Si, L. et al. Topotactic hydrogen in nickelate superconductors and akin infinite-layer oxides ABO2. Phys. Rev. Lett.124, 166402 (2020). 10.1103/PhysRevLett.124.166402 [DOI] [PubMed] [Google Scholar]
- 29.Si, L., Worm, P. & Held, K. Fingerprints of topotactic hydrogen in nickelate superconductors. Crystalshttps://www.mdpi.com/2073-4352/12/5/656 (2022).
- 30.Si, L., Worm, P., Chen, D. & Held, K. Topotactic hydrogen forms chains in ABO2 nickelate superconductors. Phys. Rev. B107, 49–51 (2023). 10.1103/PhysRevB.107.165116 [DOI] [Google Scholar]
- 31.Qin, C., Jiang, M. & Si, L. Effects of different concentrations of topotactic hydrogen impurities on the electronic structure of nickelate superconductors. Phys. Rev. B108, 155147 (2023). 10.1103/PhysRevB.108.155147 [DOI] [Google Scholar]
- 32.Di Cataldo, S., Worm, P., Si, L. & Held, K. Absence of electron-phonon-mediated superconductivity in hydrogen-intercalated nickelates. Phys. Rev. B108, 174512 (2023). 10.1103/PhysRevB.108.174512 [DOI] [Google Scholar]
- 33.Chow, L. E. et al. Pairing symmetry in infinite-layer nickelate superconductor. Preprint at arXiv10.48550/arXiv.2201.10038 (2023).
- 34.Chow, L. E. et al. Pauli-limit violation in lanthanide infinite-layer nickelate superconductors. Preprint at arXiv10.48550/arXiv.2204.12606 (2022).
- 35.Sun, W. et al. Evidence for anisotropic superconductivity beyond pauli limit in infinite-layer lanthanum nickelates. Adv. Mater.35, 2303400 (2023). 10.1002/adma.202303400 [DOI] [PubMed] [Google Scholar]
- 36.Sheffels, S. et al. Insight on hydrogen injection and GdOx/Co interface chemistry from in operando neutron reflectometry and secondary ion mass spectrometry. Appl. Phys. Lett.10.1063/5.0128835 (2023).
- 37.Lu, Q. et al. Engineering magnetic anisotropy and emergent multidirectional soft ferromagnetism in ultrathin freestanding LaMnO3 films. ACS Nano16, 7580–7588 (2022). 10.1021/acsnano.1c11065 [DOI] [PubMed] [Google Scholar]
- 38.Orvis, T. et al. Electron doping BaZrO3 via topochemical reduction. ACS Appl. Mater. interfaces11, 21720–21726 (2019). 10.1021/acsami.9b06370 [DOI] [PubMed] [Google Scholar]
- 39.Eltes, F. et al. Low-loss BaTiO3-Si waveguides for nonlinear integrated photonics. ACS Photonics3, 1698–1703 (2016). 10.1021/acsphotonics.6b00350 [DOI] [Google Scholar]
- 40.Zeng, S. et al. Origin of a Topotactic Reduction Effect for Superconductivity in Infinite-Layer Nickelates. Phys. Rev. Lett.133, 066503 (2024). [DOI] [PubMed]
- 41.Gonzalez, M. et al. Absence of hydrogen insertion into highly crystalline superconducting infinite layer nickelates. Phys. Rev. Materials8, 084804 (2024).
- 42.Li, Z. et al. Epitaxial growth and electronic structure of Ruddlesden-Popper nickelates (Lan+1NinO3n+1, n = 1-5). APL Mater.8, 091112 (2020). 10.1063/5.0018934 [DOI] [Google Scholar]
- 43.Sun, W. et al. Electronic and transport properties in Ruddlesden-Popper neodymium nickelates Ndn+1NinO3n+1 (n=1-5). Phys. Rev. B104, 184518 (2021). 10.1103/PhysRevB.104.184518 [DOI] [Google Scholar]
- 44.Li, Y. et al. Impact of cation stoichiometry on the crystalline structure and superconductivity in nickelates. Front. Phys.9, 719534 (2021). 10.3389/fphy.2021.719534 [DOI] [Google Scholar]
- 45.Patel, R. K. et al. Hole doping in a negative charge transfer insulator. Commun. Phys.5, 216 (2022). 10.1038/s42005-022-00993-1 [DOI] [Google Scholar]
- 46.Patel, R. K. et al. Epitaxial stabilization of ultra thin films of high entropy perovskite. Appl. Phys. Lett.116, 071601 (2020). 10.1063/1.5133710 [DOI] [Google Scholar]
- 47.Maranville, B., Ratcliff II, W. & Kienzle, P. reductus: a stateless Python data reduction service with a browser front end. J. Appl. Crystallogr.51, 1500–1506 (2018). 10.1107/S1600576718011974 [DOI] [Google Scholar]
- 48.Kirby, B. J. et al. Phase-sensitive specular neutron reflectometry for imaging the nanometer scale composition depth profile of thin-film materials. Curr. Opin. Colloid Interface Sci.17, 44–53 (2012). 10.1016/j.cocis.2011.11.001 [DOI] [Google Scholar]
- 49.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). 10.1103/PhysRevB.54.11169 [DOI] [PubMed] [Google Scholar]
- 50.Kresse, G. & Hafner, J. Ab initio molecular dynamics for liquid metals. Phys. Rev. B47, 558–561 (1993). 10.1103/PhysRevB.47.558 [DOI] [PubMed] [Google Scholar]
- 51.Kresse, G. & Joubert, D. From ultrasoft pseudopotentials to the projector augmented-wave method. Phys. Rev. B59, 1758–1775 (1999). 10.1103/PhysRevB.59.1758 [DOI] [Google Scholar]
- 52.Perdew, J. P., Burke, K. & Ernzerhof, M. Generalized gradient approximation made simple. Phys. Rev. Lett.77, 3865–3868 (1996). 10.1103/PhysRevLett.77.3865 [DOI] [PubMed] [Google Scholar]
Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Supplementary Materials
Data Availability Statement
The data supporting this study have been deposited in Figshare.
Analysis was performed by open-source Python packages, including NumPy, matplotlib, and SciPy. SIMS data reduction was performed using the commercial software SurfaceLab 7. All density-functional theory calculations were performed with the Vienna Ab-Initio Simulation Package (VASP).