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. 2024 Apr 3;27(5):109658. doi: 10.1016/j.isci.2024.109658

Synergistic effect between transition metal single atom and SnS2 toward deep CO2 reduction

Yuehua Kong 1, Junhui Pan 1, Yi Li 1,2, Yongfan Zhang 1,2,∗, Wei Lin 1,2,3,∗∗
PMCID: PMC11031821  PMID: 38646174

Summary

The electrochemical reduction of CO2 is an efficient channel to facilitate energy conversion, but the rapid design and rational screening of high-performance catalysts remain a great challenge. In this work, we investigated the relationships between the configuration, energy, and electronic properties of SnS2 loaded with transition metal single atom (TM@SnS2) and analyzed the mechanism of CO2 activation and reduction by using density functional theory. The “charge transfer bridge” promoted the adsorption of CO2 on TM@SnS2, thus enhancing the binding of HCOOH∗ to the catalyst for further hydrogenation and reduction to high-value CH4. The research revealed that the binding free energy of COOH∗ on TM@SnS2 formed a “volcano curve” with the limiting potential of CO2 reduction to CH4, and the TM@SnS2 (TM = Cr, Ru, Os, and Pt) at the “volcano top” exhibited a high CH4 activity.

Subject areas: Catalysis, Materials chemistry

Graphical abstract

graphic file with name fx1.jpg

Highlights

  • •

    The relationships among the configuration, energy, and electronic properties of TM@SnS2 for CO2 reduction are explored by using density functional theory

  • •

    The “charge transfer bridge” promotes the adsorption of CO2 on TM@SnS2, thus enhancing the binding of HCOOH∗ to the catalyst for further hydrogenation and reduction to CH4

  • •

    The binding free energy of COOH∗ on TM@SnS2 forms a “volcano curve” with the limiting potential of CO2 reduction to CH4


Catalysis; Materials chemistry

Introduction

Excessive emissions of CO2 can bring about various environmental problems such as the greenhouse effect,1,2 and its transformation into industrial feedstocks such as HCOOH and CH4 by chemical methods is significant for climate change as well as sustainable development of energy.3,4,5 However, the C=O bond energy of CO2 is as up to 803 kJ mol−1, which is highly inert to the extent that it is hard to be activated and requires the involvement of catalysts.6 With mild reaction conditions and high conversion efficiency, electrochemical reduction is a cost-effective conversion approach.7,8,9 And selectivity and limiting potential are two key dimensions of theoretical electrocatalysis research.9 Transition metal (TM) single-atom catalysts have the advantages of small size and high activity, and their rational design and screening can help facilitate efficient and highly selective targeting of product generation, which has vital investigative implications for the pioneering of CO2 electroreduction (CO2ER).10,11,12,13

Earth-abundant and highly stable SnS2 has been extensively studied in the CO2ER. Unlike some TMXn (X = S, Se, Te) and other ferromagnetic materials,14 the highly symmetric nonpolar surface of 1T-SnS2 makes the activation of linear CO2 extremely challenging, and the products are therefore mostly confined to 2e HCOOH, which cannot be deeply reduced, and inevitably have by-products such as CO and H2 generated.15,16,17,18 Combined with our calculations, CO2 is weakly adsorbed on pure SnS2 (−0.15 eV) and is indeed not effectively activated by hydrogenation. Currently, the catalysts for the reduction of CO2 to hydrocarbon products are mainly Cu-based materials with a limiting potential of −0.74 V vs. RHE for the reduction to CH4, which is poorly selective, and the presence of multi-carbon hydrocarbon products.19,20 However, the loaded TM can supply an independent active site for CO2ER on the one hand, which ensures the C1 product selectivity, and strengthen the coupling between the highly polarized catalyst and the intermediate, thereby ensuring the selectivity of the multi-electron products. We envision that firstly catalyst reduces CO2 to HCOOH, which is difficult to desorb under the action of TM and further hydrogenated deeply to create CH(OH)2∗, CH2OOH∗, or HCO∗ + H2O(g) until the formation of multi-electron products, which greatly promotes the electron efficiency.

In this study, the CO2ER activity of TM loaded in SnS2 (TM@SnS2, TM detailed in Figure 1) was investigated using first-principle methods. We firstly studied the relationship between the configuration, energy, and electronic properties of the catalysts constructed by different TMs and reasonably predicted their activation and catalytic performance; then, we proposed the concept of “charge transfer bridge” and fully confirmed this conjecture, and proposed the intrinsic mechanism of different activation modes of CO2; in addition, by constructing potential intermediates and comparing the free energy changes of each step in the whole reaction process, we determined the optimal pathway for different products, predicted the product composition based on the limiting potential, and revealed the intrinsic reaction mechanism. The results demonstrate that the loading of TM targeted to encourage CH4 production by enhancing the coupling between TM@SnS2 and HCOOH∗, and the “charge transfer bridge” constructed by the synergistic interaction between the active center TM and substrate SnS2 broke the scalar relationship limiting the activity and selectivity. Moreover, the binding free energy of ∗COOH was found to follow a “volcano curve” with the limiting potential of CO2 reduction to CH4, which can be used as a reliable criterion to evaluate the CO2ER performance of TM@SnS2.

Figure 1.

Figure 1

Configuration, energy, and Bader charge of TM@SnS2

(A) The optimized structures of TM@SnS2 for fcc site loading.

(B) Binding energy of TM@SnS2 and the Bader charge of TM after loading, in which the negative value represents the electron loss.

Results and discussion

Structural features and properties

The two-dimensional 1T-SnS2 is characterized by Sn sandwiched between two S atomic layers. Non-polar 1T-SnS2 surface makes it difficult for electrons to inject into the 2πu orbital of the CO2, hence CO2 preserves natural linear shape with physisorption energy of only −0.15 eV. The strong sp hybridization that exists in carbon atom cannot be easily broken by physisorption.

The substrate SnS2 influences the binding of the active center to the intermediate by modulating the electronic structure of TM. In order to enhance the CO2 activation on the catalyst and modify the catalytic performance, 26 types of TM single atom shown in Figure 1A were modified on SnS2 to obtain two types of catalysts. One is TM-doped SnS2 with TM replacing a Sn atom (Figure S1A), the other loads TM on substrate SnS2, named TM@SnS2, while TM has three possible loading sites including fcc, hcp, and top sites (Figures S1B and S1C). We load the TM directly at the fcc site (Figure 1A, TM dimerization at SnS2 requires migration from one cavity to another with high energy barriers, ensuring TM dispersion in Figures S1D and S1E).21,22 However, the binding energy of the two types of catalysts (Figure S2, and Table S1) indicates that the synthesis of TM-doped SnS2 is energetically unfavorable. Most importantly, the SnS2 surface remains nonpolar after doping, resulting in a weaker trapping ability of TM-doped SnS2 for CO2 adsorption (the poor binding of the molecule to the material confines the product to 2e HCOOH, which is difficult to deeply reduce). Hence, we have focused in this work on the TM@SnS2 for fcc site loading about the CO2ER reaction in detail.

To have a more intuitive understanding on the structure of TM@SnS2, the deviation of the horizontal location of TM from the fcc center in TM@SnS2 and the longitudinal distance from the surface are presented in Figure S3. The deviation of TM when loaded at the SnS2 fcc site is about 25% on average, with a slightly higher deviation of Hf. And the longitudinal distance from the surface is distributed around 1.0–1.3 Å, while the distance of Cd from the S surface is further away, reaching about 2 Å. The full arrangement of 4d orbitals weakens the orbital interactions between Cd and SnS2, resulting in poor bonding ability between Cd and the substrate SnS2. In addition to reflecting the stability of catalysts, the coupling strength between TM and substrate also significantly affects the effectiveness of catalysis (Figure 1B). The binding of TM and SnS2 is quite strong when the d orbitals are less occupied, but with the increasing number of d electrons, the binding energy generally declines. Interestingly, when TM is Cr (3d), Mn (3d), Mo (4d), Re (5d), etc., the coupling between d orbitals and SnS2 weakens, which is attributed to the semi-filled d5 orbitals, resulting in a decrease of binding strength, so that Cu, Ag, Zn, and Cd with d10 orbitals have the lowest binding energy to SnS2. The p orbitals of S are dispersed near the Fermi energy level, resulting in interactions with TM d orbitals (Figure S4). Apart from that, the increasing number of d electrons is accompanied by the gradual filling of the d orbitals, and the lowering antibonding state energy level weakens the coupling between TM and SnS2. Therefore, TM with lower d energy levels away from the Fermi level is more inclined to provide s orbitals participation in partial hybridization (Figures S4J and S4I), which adds the difficulty of electron transfer and intuitively manifests itself in poor binding and less charge transfer (Figure 1B, and Table S1). Moreover, the charge transferred from TM to SnS2 has a scaling relationship with the workfunction of the TM@SnS2 (Figure S5). With the intensified interaction between TM and SnS2, TMσ+ becomes more positive together with a decrease in the workfunction. TM reduces the minimum energy of electron spillover from catalyst, which is undoubtedly crucial for inert CO2 capture and also implies an impact on the subsequent reaction mechanism and limiting potential (UL).

CO2 adsorption and activation

CO2 capture plays an important role in carbon reduction catalytic reactions. As mentioned previously, CO2 can only have a physisorption on pure SnS2 without being effectively activated, and the first protonation requires energy of at least 1.47 eV, limiting further CO2 reduction reaction (Figure S6). The adsorbed CO2 always remain liner at a distance of 2.99 Å from the surface, with physisorption energy of only −0.15 eV. According to Norskov et al.,23,24,25,26 the catalyst itself has a certain adsorption capacity for molecules, with a correlation between the strength of adsorption for reactants and products, suggesting that catalysts with poor CO2 adsorption are also hard to bind with HCOOH∗ intermediates. In contrast to engaging in proton coupling and electron transfer (PCET), HCOOH∗ is easier to desorb directly, arguing for the previously reported SnS2 as a typical formate catalyst. As a direct active site for adsorption and reduction of the catalyst, TM enhances the activation of CO2 greatly. And crucially, the enhanced binding energy of TM@SnS2 to HCOOH∗ makes it possible to synthesize 8e CH4. Based on the correlation of CO2, HCOOH, and CH4 adsorption on TM@SnS2 (Figure S7; Tables S2 and S3), the overall trend in adsorption energies remains consistent, with the pre-transition cycle of Hf-, Ta-, and Sc-loaded SnS2 exhibiting relatively strong adsorption energy. However, the bonding between CO2/HCOOH and TM@SnS2 is mainly through TM−O, while CH4 combines with TM@SnS2 to form a weak TM−C bond. Therefore, the adsorption energy of CH4 has a weak linear correlation with CO2, and the relatively narrow CH4 adsorption energy interval further leads to the dispersion of CH4 adsorption energy.

Interestingly, the CO2 configuration adsorbed on the TM@SnS2 surface shows certain regularity (Figure S8A), in which most of the TMs and CO2 bond as a C-TM-O bidentate ligand with a “V shape CO2” (Figure S8B). With the increasing number of d electrons, the coupling between TM and C is gradually enhanced and the TM-O bond is gradually elongated (Figure S8A from α1 to α2). However, it does not apply to TM with d5 (Cr), d10 (Cu, Zn, Pd, Ag, Cd), which rely on monodentate TM-O and retain the linear configuration of CO2 (α3 in Figure S8A).

It is obvious that d orbitals of TM have a significant effect on CO2 activation. Molecular and surface interaction causes energy level splitting. The position of new antibonding state can be predicted by d band center of TM to judge the stability of the adsorbate.27,28 Spin down electronic states tend to have higher energy levels,29,30 which can be used to describe the strength of the interaction between the spin-polarized TM and the adsorbate, and it was also verified by our calculations (Figure S4). Apparently, there is no correlation between the spin down d band center of TM and the reactants CO2 or possible products HCOOH and CH4 (Figure S9). However, Figure S7 illustrates that as the interaction between CO2 and TM@SnS2 increases, so does the adsorption energy of HCOOH and CH4, implying that the substrate SnS2 has a great influence on CO2 activation.

The difference in the binding morphology (α1, α2, and α3) of TM and CO2 is due to different bonding mechanisms. In the case of bidentate adsorption (e.g., TM = Sc), the significant electron transfer between CO2 and TM@SnS2 (Figure 2A), accompanied by strong hybridization between the d orbitals of TM and 2p orbitals of C/O (Figures 2B, S10A, and S10B), exposes the intense interaction of CO2 and TM@SnS2. TM with empty d orbitals can accommodate electrons from the highest occupied orbital (1πg) of CO2 (Figure 2C), while TM feeds back electrons to the lowest unoccupied orbital (2πu) of the CO2 (Figure 2D), resulting in an eventual electron gain for CO2. According to the Bader charge calculations (Table S3), the charge changes of TM are negligible before and after CO2 adsorption. When loading on SnS2, TM exhibits electron loss (Table S1). On application of the cathodic potential, it gains additional electrons through the TM-S bond as “charge transfer bridge” firstly, and the reduced TM then provides electrons for CO2. Hence, we can observe the accumulation and loss of charge between the substrate and TM in Figure 2A. In the aforementioned processes, Sn achieves a transition of Sn4+ → Snx+ → Snσ+ (2 < x < σ < 4) (Figures 2E and 2F), as shown in the studies of Huang et al.31,32 Transition metal with fewer d-occupied orbitals has a powerful interaction with the SnS2 (Figure 1B) that prevents the formation of the reduced state, and the lack of electrons causes the activation of CO2 to take on the α1 mode where TM is intensely coupled with O than C. Monodentate adsorption (α3) presents another bonding mechanism. In this case, weak interaction exists between TM and CO2 (e.g., TM = Cr, Cu). Due to the relative inertness of the d orbital with a special electron arrangement (d5, d10), TM provides s orbital hybridization with the 2p orbital of O additionally (Figures S10C and S10D). The strong electronegativity prevents the generation of TM reduced state, and SnS2 accepts few electrons from CO2 using the TM-S bond as “charge transfer bridge” (Figures S10E–S10G) to realize Sn4+ → Snx+ → Snσ+, where 2 < σ < x < 4. At this moment, the highest occupied orbital (1πg) of CO2 transfers electrons to the empty s orbital (Figure S11A), and TM d orbital feeds back electrons to the lowest unoccupied orbital (2πu) of CO2 (Figure S11B). Note that, unlike the lower energy levels of d10, the Cr d orbitals are distributed near the Fermi energy level and it disperses to a certain extent in CO2 adsorption. In conclusion, these two activation mechanisms reveal that CO2 activation is synergistically facilitated by “charge transfer bridge” between TM and SnS2. This is equivalent to the “electron sponge” proposed by Su et al.33 We observed similar effect with Fe-N4-C catalyst in CO2ER,34 while the multivalent state of Sn in the substrate SnS2 facilitates the electron transfer even more than in graphite. Overall, we have explained the synergistic interaction between TM and substrate to promote the activation of CO2 and further regulate the coupling strength of intermediates and TM@SnS2 from a deep electron supply relationship.

Figure 2.

Figure 2

The electronic properties of CO2 adsorbed on TM@SnS2

(A) Charge density difference of CO2 adsorbed on Sc@SnS2 with the isovalue is set to 6 × 10−4e Å−3.

(B) Density of states of Sc@SnS2.

(C and D) Mechanism of CO2 binding to surface TM when the adsorption configuration is α1 or α2. Schematic diagram of net electron flow when (E) TM loading on SnS2 and (F) CO2 adsorbed on TM in α1 or α2.

The exotherm of CO2 adsorption on the TM@SnS2 increases with the period of TM, and CO2 adsorption is enhanced by loading SnS2 with pre-transition metals (Sc, Ti, Zr, Hf, Ta, W, etc.) for each period (Figure 3). CO2 adsorption energy of most TM@SnS2 is stronger than that of pure SnS2, with the exception of Rh@SnS2 and Cd@SnS2 (−0.11 and −0.05 eV). In combination with the adsorption correlation aforementioned (Figure S7A), the poor binding of CO2 to Rh@SnS2 and Cd@SnS2 adds to the difficulty of selectively generating CH4 from CO2ER. Furthermore, it is crucial to prevent the poisoning of H∗ at the monatomic active site. Re@SnS2, Zn@SnS2, and Cd@SnS2 exhibit superiority of H∗ binding and hinder CO2 adsorption. In summary, comparing the CO2 adsorption energy on TM@SnS2 with that on pure SnS2 and the competition with H∗, we ignored the investigation of CO2 reduction performance for Rh@SnS2, Re@SnS2, Zn@SnS2, and Cd@SnS2 and only considered the remaining 22 TM@SnS2.

Figure 3.

Figure 3

Adsorption energy of CO2∗ and H∗ on TM@SnS2, where the blue dots are the difference in adsorption energy between them, i.e., Eads (CO2∗) − Eads (H∗) and the red dashed line represents the CO2 adsorption energy on pure SnS2

Mechanisms and selectivity of reactions

Competition between COOH∗/HCOO∗ and H∗

The independent active site of TM@SnS2 blocks the C−C coupling and ensures that CO2 is reduced solely to C1 product.35 We complement the potential reaction pathways for of CO2ER proposed by Yuan et al. (Scheme S1).36 CO2 is progressively hydrogenated to HCOOH or CH4 via PCET steps, with 35 possible radical reactions (Supporting Information R1-R35). The Gibbs free energy change for all reactions in the pathway was calculated (Supporting Information ES1-E35, Figure S12) to obtain the UL for the CO2ER. Brønsted-Evans-Polanyi relationship shows that lower Gibbs free energy change implies a smaller thermodynamic potential for the reaction.37,38 As a side reaction of CO2 reduction, not only the hydrogen reduction reaction (HER) reduces the Faraday efficiency, but the competing depletion of proton and electron pairs from electrolyte near the cathode also substantially slows the rate of CO2 conversion. During the initial step of CO2 hydrogenation, the proton may bond with O to form ∗COOH or transfer to C to generate HCOO∗ intermediates. ΔG (COOH∗/HCOO∗) and ΔG (H∗) reflect the competition between CO2ER and HER (Figure 4A). All of HCOO∗ and most of COOH∗ intermediates exhibit energetic superiority over H∗, but the COOH∗ intermediates of TM@SnS2 (TM = Ta, W, Os, Mn, Cu, Ag) require slightly higher energies than H∗. The independent active sites are occupied by COOH∗ and HCOO∗, inhibiting the occurrence of hydrogen precipitation side reactions and allowing TM@SnS2 to exhibit superiority for CO2ER. During the reaction, with similar surface adsorption bonds, there is a linear scalar relationship through the C-bound and O-bound intermediates, respectively.23 In TM@SnS2, the ∗COOH binding free energies bound to TM via C as a monodentate ligand and HCOO∗ bound by the bidentate ligand O-TM-O are also heavily correlated (Figure 4B), with HCOO∗ having a lower energy compared to COOH∗. The scaling relationship between HCOO∗ and HCOOH∗ diverging due to the weaken TM-O bond between the HCOOH∗ and TM (Figure S13). There is a poor correlation between the binding energies of the other subsequent intermediates. The scaling relationship imposes certain limitations on activity and selectivity in the involvement of transition metals in CO2ER, which are broken by the “charge transfer bridge” between TM and SnS2.

Figure 4.

Figure 4

The relationship with the free energies of reaction intermediates

(A) Binding free energy competition between COOH∗/HCOO∗ and H∗ intermediates.

(B) Comparison of the binding free energy of COOH∗ and HCOO∗.

Production of 2e HCOOH

CO2 can form HCOOH∗ intermediates after two-step PCET, then HCOOH desorbed from surface with the relevant energy changes represented in Table S4. Figures 5A–5C show the free energy diagrams of HCOOH production after TM loading for 3d, 4d, and 5d periods, respectively, with ∗HCOO or COOH∗ intermediates being produced in the first step. On the one hand, the lower ∗HCOO energy increases the difficulty of converting ∗HCOO to ∗HCOOH, resulting in most TM@SnS2 to yield formic acid through ∗COOH; on the other hand, the “charge transfer bridge” between TM and SnS2 enlarges the coupling strength between TM and ∗HCOOH, making HCOOH desorption more difficult. The representative TMs are listed in Figure 5D. HCOOH∗ trapped on the surface through strong TM-O bonds is instead more readily hydrogenated and involved in reduction reactions than in desorption. The post-transition metals seem to exhibit high activity for HCOOH production, but the selectivity of CO2ER depends on the difference in the limiting potential between the various products.

Figure 5.

Figure 5

The free energies of HCOOH generated on TM@SnS2

Free energy diagrams of HCOOH production of TM@SnS2 for (A) 3d, (B) 4d, and (C) 5d periods. The solid line is the energy of ∗COOH while the dashed line refers to ∗HCOO.

(D) Two unfavorable processes of HCOOH formation and the corresponding TMs for each step.

Production of 8e CH4 and the “volcano curve”

Based on Scheme S1 and R1-R35 (Supporting Information), Gibbs free energy changes were calculated for 35 radical reactions (Figure S12). We can roughly see that in the hydrogenation of CO2 to CH4, the former part of the reduction (i.e., 1-4e) is more endothermic, while the latter part is mainly exothermic. In addition, R1 and R2 of 1e exhibits a tendency of increasing free energy change in each period; however, R34 and R35 of 8e show a gradual decline in energy change. The relatively insignificant variation in the middle part reaction and the limited linear scaling relationship favor the improved activity of the TM@SnS2.

We screened the lowest energy pathway for CH4 production from TM@SnS2 (Figures S14 and S15) and obtained the UL for CH4 from CO2ER. As aforementioned, while ∗HCOO is more energetically favorable than ∗COOH, it requires more energy to continue hydrogenation. Therefore most TMs (except Ni, Cu, Ta, Pt) get the lowest energy path for CH4 generation via ∗COOH intermediate. We explored the relationship regarding the CO2 adsorption energy and the ∗COOH binding energy of TM@SnS2 relative to the UL of the CH4 production (Figure S16A) and found that the spontaneous adsorption of CO2 simply acts as a knockon for reaction to take place and has almost no effect on activity of CH4. And the corresponding CH4 activity exhibits an advantage when the binding energy of ∗COOH remains between −0.4 and 0.2 eV. Furthermore, there is a correlation between ΔG (R35) and ∗COOH binding free energy, with a better activity when ΔG (R35) is in −0.6 to 0.2 eV (Figure S16B). The Sabatier principle suggests that the bond between the reaction intermediate and the catalyst should be neither too strong nor too weak in order to obtain the best catalytic performance.39 There is indeed a “volcano curve” about ΔG (∗COOH) and the UL (CH4) in our system (Figure 6); when ΔG (∗COOH) < −0.4 eV, the binding between ∗COOH and TM@SnS2 is too strong to proceed with hydrogenation, mainly in the pre-transition metal. Unexpectedly, Hf is farther away from SnS2, making it overcoupled to COOH∗ and departing from the volcano curve. While ΔG (∗COOH) > 0.2 eV, ∗COOH formation becomes an endothermic process with a weak coupling, mostly distributed in the post-transition metal. Only if −0.4 eV < ΔG (∗COOH) < 0.2 eV, TM@SnS2 has a limited potential for CO2ER at the “volcano top” with significant CH4 activity. In particular, Cr of 3d, Ru of 4d, as well as Os and Pt in 5d periods have excellent catalytic activity. Considering the tradeoff between the actual environment of electroreduction and computational pressure, we compared the free energy change of them before and after imposed implicit solvation model (Figure S15, and Table S5). With hydrogen bonding constraints, the energy of the H2O molecule corrected by the implicit solvent model decreases by 0.31 eV, resulting in a slight energy decrease in the elementary reaction involving the removal of H2O after one-step PCET. However, the overall free energy change of the elementary reaction is consistent, along with a subtle decrease in the limiting potential of the reaction.

Figure 6.

Figure 6

The “volcano curve” between ΔG (∗COOH) and the limiting potential UL (CH4)

Anticipated products of CO2ER

In previous subsection, we have investigated the mechanism of CO2 reduction to produce HCOOH and CH4, exploring the optimal pathways about them. The ΔGMAX about reaction reveals the catalytic activity of both products in the CO2ER ultimately in Figure 7. The monoatomic loading enhances the coupling of ∗HCOOH to TM@SnS2 and hinders HCOOH desorption. Overall, the UL (HCOOH) is more negative relative to CH4 production, with the former transition metal being more apparent in 4d and 5d, and the difference between the UL reflecting the selectivity of the products. Sc and Y as pre-transition metals, Ni, Cu, Pd, Ag, Pt, as post-transition metals, and Mn are more superior for HCOOH synthesis and most TMs require less energy for CH4 production. Of these TMs, Ti, Cr, Zr, Nb, Mo, Hf, Ta, and W have superior CH4 selectivity with a larger difference in UL. Finally, with its lower ΔGMAX (0.32 eV) and excellent selectivity, Cr@SnS2 is quite a promising catalyst for the formation of CH4 in CO2ER.

Figure 7.

Figure 7

Limiting potential for CO2ER to HCOOH and CH4 on TM@SnS2, the blue dots are the difference in UL between them, i.e., UL (CH4) − UL (HCOOH), where the blue line represents UL (CH4) = UL (HCOOH)

Conclusion

In conclusion, the TM@SnS2 makes full use of the functional synergy between the TM and substrate, which strengthens the coupling between the intermediate and catalyst through “charge transfer bridge” effectively. Not only does it have a superior CO2 adsorption capacity than pure SnS2, but also TM@SnS2 tends to reduce CO2 to high-value CH4 compared to conventional SnS2, and which is limited to 2e HCOOH production. Our calculations indicate that with high selectivity and excellent CO2ER performance, economical Cr@SnS2 near the “volcano top” is an efficient catalyst for CH4 production, and implicit solvation measurement did not significantly affect the limiting potential. This work provides valuable insights into the efficient design of single-atom electrocatalysts targeted to obtain desired products, and it is hoped that the aforementioned work will contribute to the further development of experimental and theoretical studies.

Limitations of the study

We have carried out a theoretical study of TM@SnS2 for CO2 reduction reaction. However, the reaction intermediates are susceptible to the influence of solvents in the microscopic state and the voltage under real reaction conditions, etc. The interactions between the catalyst, adsorbent, and electrolyte and the relationship between the reaction performance and the potential were not sufficiently considered in this work.

STAR★Methods

Key resources table

REAGENT or RESOURCE SOURCE IDENTIFIER
Software and algorithms

VASP code Kresse and Furthmüller40 VASP software GmbH https://www.vasp.at
VESTA software package JP-Minerals https://jp-minerals.org/vesta/en/
VASPsol Mathew and Cramer47,48 Open source https://www.opensourceagenda.com/projects/vaspsol

Resource availability

Lead contact

Further requests for resources should be directed to and will be fulfilled by the Lead Contact, Wei Lin (wlin@fzu.edu.cn).

Materials availability

This study did not yield new unique reagents.

Data and code availability

  • •

    The published article includes all datasets generated or analyzed during this study.

  • •

    This study did not generate new code.

  • •

    Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.

Experimental model and study participant details

Our study does not use experimental models typical in the life sciences.

Method details

Density functional theory (DFT) calculations were carried out by the VASP package.40 The exchange and correlation interactions were depicted by the generalized gradient approximation of Perdew, Burke, and Ernzerhof (PBE) functional.41 Electron-ion mutual effects were modelled by using Projector augmented wave (PAW) potentials.42 Bader analysis program43,44 was employed to quantify the changes of electronic structure. The DFT-D3 correction was applied to assess the weak interactions.45 Dipole correction in the z direction was opened to correct potential spurious terms brought by the asymmetry of the slabs.46 The TM@SnS2 was generated on a (3 × 3) SnS2 supercell for probing the CO2 reduction reaction mechanism. All of atoms were relaxed in any directions with the process of the structural optimization. A Monkhorst-Pack 3 × 3 × 1 k-point grid was adopted to sample the Brillouin zone during geometry optimizations, whereas a 7 × 7 × 1 k-point grid was utilized for electronic property computations. The convergence criteria for the structure relaxation were set to 0.02 eV·Å−1 in force and 10−6 eV in energy, respectively. The kinetic cut-off energy of the plane wave basis was set to 450 eV. To avoid the interactions between the neighbouring slabs, the vacuum in the surface normal direction was set to 15 Å. Implicit solvation model47,48 (using VASPsol) taking into account the aqueous electrolyte was used to simulate the reaction environment of Cr@SnS2, Ru@SnS2, Os@SnS2 and Pt@SnS2.

The binding energy was calculated by:

Eb=E(TM@SnS2)−E(TM)−E(SnS2) (Equation 1)

Where E (TM@SnS2), E (TM) and E (SnS2) denote the total energy of fcc loaded TM@SnS2, single TM and pure SnS2.And the adsorption energy of molecular (CO2, HCOOH and CH4) was calculated by:

Eads=E(mol−TM@SnS2)−E(mol)−E(TM@SnS2) (Equation 2)

E (mol-TM@SnS2), E (mol) refer to the energies of the system after molecular adsorption and the individual molecular, respectively. Deviation χ of the horizontal location of TM was calculated by:

χ=(1−dTM−S2−H2dSn−S)×100% (Equation 3)

Where dTM-S and dSn-S represent the average distance of TM-S and Sn-S bond below TM, and H is the longitudinal distance from the surface.49 The free energy of a proton/electron pair (H+ + e−) is equal to half of the gaseous hydrogen (1/2H2) at an equilibrium potential, namely the free energy variations were calculated based on computational hydrogen electrode (CHE) model. The change of Gibbs free energy (ΔG) was computed as follows:

ΔG=ΔE+ΔEZPE−TΔS+∫CPdT (Equation 4)

Where ΔE, ΔEZPE, ΔS and ΔGU signify the difference value of total energy, zero potential energy, entropy, and the free energy contribution related to enthalpic temperature correction, respectively, and T is the room temperature (298.15 K). Free energy change (ΔG) of the elementary reaction represents the free energy difference between the product and reactant and the formula of ΔG specific to each step is presented below (ES1-35) in supporting information. The limiting potential (UL) of the reaction is obtained by UL = −ΔGMAX/e, where ΔGMAX is the largest free energy change, corresponding to the potential determining step (PDS). The climbing image nudged elastic band (CI-NEB) method was adopted to locate the minimum-energy paths, and force convergence standard is 0.05 eV/Å.50,51 The transition states (TSs) were verified using vibrational frequency calculations. The d band center (εd) is calculated by:

εd=∫nd(ε)εdε∫nd(ε)dε (Equation 5)

The ε and nd(ε) are the electronic energy of states and the electronic density of states, respectively.

Quantification and statistical analysis

Calculate the variance of the adsorption energy linear relationship using Microsoft Excel.

Acknowledgments

This work was financially supported by the National Natural Science Foundation of China (21973014, 21773030, and 22250710676).

Author contributions

Y.K. and J.P. performed the computation. Y.K. wrote the manuscript. W.L. and Y.K. designed the project and revised the manuscript. All authors were involved in the general discussion. The manuscript was written through contributions of all authors. All authors have given approval to the final version of the manuscript.

Declaration of interests

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

Published: April 3, 2024

Footnotes

Supplemental information can be found online at https://doi.org/10.1016/j.isci.2024.109658.

Contributor Information

Yongfan Zhang, Email: zhangyf@fzu.edu.cn.

Wei Lin, Email: wlin@fzu.edu.cn.

Supplemental information

Document S1. Figures S1–S16, Tables S1–S5, and Scheme S1
mmc1.pdf (2.5MB, pdf)

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Associated Data

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

Supplementary Materials

Document S1. Figures S1–S16, Tables S1–S5, and Scheme S1
mmc1.pdf (2.5MB, pdf)

Data Availability Statement

  • •

    The published article includes all datasets generated or analyzed during this study.

  • •

    This study did not generate new code.

  • •

    Any additional information required to reanalyze the data reported in this paper is available from the lead contact upon request.


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