DOI:
10.1039/D4CE00633J
(Paper)
CrystEngComm, 2024,
26, 4826-4832
Theoretical investigation on enhanced HER electrocatalytic activities of SiC monolayers through nonmetal doping and strain engineering
Received
22nd June 2024
, Accepted 6th August 2024
First published on 7th August 2024
Abstract
Efficient hydrogen evolution reaction (HER) electrocatalysts are crucial for renewable energy storage and conversion. Pt remains the most efficient HER catalyst, but its widespread application is hindered by cost and resource constraints. In this study, we investigate the HER electrocatalytic activities of free-metal SiC monolayers through doping and strain engineering. Through density functional theory (DFT) calculations, we explore the effects of B, N, S, and P doping on the HER performance of SiC. Our results reveal that B and P doping enhance the catalytic activity, with P doping showing the most promising activity due to its smaller ΔGH* values. Furthermore, we apply tensile strain to modulate the HER activity of P-doped SiC, achieving further improvements. We also construct composite structures of P-doped SiC with graphene, enhancing conductivity and catalytic performance. Our findings provide valuable insights into tailoring the HER catalytic properties of SiC monolayers, offering a pathway towards sustainable hydrogen production.
Introduction
Renewable energy storage and conversion technologies are indispensable in combatting global environmental pollution and addressing the energy crisis.1–6 Hydrogen, as an alternative energy carrier, offers numerous advantages such as high energy density, recyclability, and eco-friendly by-products.7–9 Electrochemical water splitting has emerged as a sustainable, efficient, and environmentally benign method for large-scale hydrogen production, devoid of greenhouse gas emissions or other pollutants.10–14 However, the hydrogen evolution reaction (HER), a crucial step in water-splitting, poses challenges requiring highly active catalysts to minimize overpotential effectively.
While noble-metal Pt remains the most efficient HER electrocatalyst, its widespread application in large-scale hydrogen generation is impeded by prohibitive costs and resource limitations.15,16 To overcome this hurdle, extensive efforts have been dedicated to identifying non-precious and highly efficient HER catalysts as alternatives to Pt-based materials. Both experimental and theoretical investigations have highlighted promising prospects for various materials, including phosphides, sulfides, metal–organic complexes, carbon-based materials, etc., to serve as HER electrocatalysts.17–26
Two-dimensional (2D) materials have attracted considerable interest in electrocatalysis due to their unique planar structure with atomic thickness, offering advantages such as large specific area and abundant active sites.24,27,28 Graphene, a prominent member of the 2D material family, despite its inherent electrochemical inertness, has been the focus of efforts to enhance its catalytic performance in the HER through strategies like heteroatom doping and strain engineering.29–31
The 2D binary SiC, composed of C and Si atoms within the same main group as C, can be seen as an analogue of graphene. In 2009, Chu et al. reported that nanoscale 3C-SiC exhibited decomposing water molecules into –H and –OH. Ultra-thin 3C-SiC nanocrystals were later found to efficiently produce hydrogen under weakly acidic conditions.32 Surface silicon atoms with dangling bonds displayed higher chemical activity, with Si–Si dimers being crucial in water decomposition. Theoretical simulations showed that surface-hydrogenated 3C-SiC nanoclusters followed a Heyrovsky–Volmer mechanism under acidic conditions.33 Recently, Guo et al. created SiC-GD@GNRs composite structures, achieving an overpotential of only 63.5 mV at 10 mA cm−1 (ref. 2 and 34). Two-dimensional SiC monolayers doped with alkali and alkali earth metals show hydrogen evolution catalytic activity, with Be atom doped SiC exhibiting the best performance.35 Meanwhile, Chen et al. reported that the similar two-dimensional GeSi, SnSi, and SnGe monolayers, which are structural analogues of the famous graphene, exhibit HER activity.36–38
In this study, we would like to investigate the HER electrocatalytic activities of SiC with nonmetal doping, and it is highly expected that they can exhibit good electrocatalytic performance. Furthermore, we also proposed effective ways through applying axial strain and construct composite structures with graphene to further improve their electrocatalytic activities.
Computational methods
The generalized gradient approximation of the Perdew–Burke–Ernzerhof functions of the studied systems within the frame of the Vienna ab initio simulation package (VASP).39–41 A 4 × 4 supercell was used to guarantee the accuracy and efficiency of calculation results, and a vacuum region of 15 Å along the z-direction was set to avoid the spurious interactions between adjacent units. The kinetic energy cutoff was set to 450 eV and a semi-empirical van der Waals correlation (vdW) proposed by Grimme (DFT-D2) was used to account for the dispersion interactions.42 In addition, the Monkhorst–Pack grid k-points of 5 × 5 × 1 were employed for the structural optimization.43 The convergence criterion of energy and force in the calculations were set to 1.0 × 10−5 eV and 0.02 eV Å−1, respectively. The ab initio molecular dynamics (AIMD) simulated at 300 K with DS-PAW software.44
The HER catalytic activity was estimated using the Gibbs free energy change (ΔGH*), which can be defined by the following equation:45,46
| ΔGH* = ΔEH* + ΔZPE − TΔSH* | (1) |
in which Δ
EH* stands for the energy difference of hydrogen adsorption, and ΔZPE and Δ
S denote the corresponding changes of zero point energy and entropy of H* adsorption, respectively. The qvasp code was used for postprocessing of the VASP computational data.
47
Result and discussion
The structure, electronic properties and catalytic activities of SiC
The 2D SiC monolayer possesses a structure similar to graphene, we utilized a 4 × 4 SiC supercell structure as the initial model, and its geometric structure is shown in Fig. 1a. The lattice parameters is 12.376 Å, and the corresponding calculated bond lengths dSi–C, are 1.786 Å, which are well consistent with the previously reported values. The band structure is shown in Fig. 1b and the band gap is 2.54 eV. Subsequently, we carried out the relevant calculations to estimate the HER catalytic activity of 2D SiC monolayer systems. It is well known that the HER catalytic activity of a material is closely correlated to the adsorption energy of a single H atom on its surface, so the adsorption Gibbs free energy of H* (ΔGH*) can be used as a reliable indicator to evaluate the HER catalytic activity of the site. Usually, a smaller absolute value of ΔGH* means better HER activity. Therefore, in this study the HER catalytic activities of the studied systems are also estimated by calculating the ΔGH* values. The detailed expression for calculating ΔGH* is given in the computational methods. Initially, we explore the HER catalytic activity of 2D SiC systems by calculating the ΔGH* values, where the top of Si and C adsorption sites are considered. The configurations with the adsorption of H* at the top sites of SiC monolayers can be obtained, as shown in Fig. 2a. Our computed results reveal that the corresponding ΔGH* values of the TSi and TC sites on the SiC monolayer are 1.360 and 1.623 eV, (Fig. 2b). Clearly, compared with the TC site of graphene (1.858 eV), the ΔGH* values for the top sites (TSi and TC) are smaller.38 This can be mainly attributed to the fact that the Si atoms have weaker π-bonding ability than the C atoms in the same main group, which is beneficial for the interaction of Si atoms with H* by adopting sp3 hybridization when the HER takes place.
|
| Fig. 1 (a) The optimized structures for the 2D SiC monolayer and (b) the band structure of the 2D SiC monolayer. | |
|
| Fig. 2 (a) The optimized structures of H atoms adsorbed on the top of C and Si atoms of SiC. (b) The calculated free-energy diagram of the HER on the SiC structures for C and Si adsorption sites. | |
The structure, electronic properties and catalytic activities of X-SiC (X = B, N, P and S)
Based on the above discussions, we can understand that, compared with graphene, the 2D structural SiC can exhibit a better activity in catalyzing the HER process owing to the weaker aromaticity. However, their HER catalytic performances have to be further improved in view of the relatively large ΔGH* values. Here, we intend to enhance the HER catalytic activity of 2D SiC systems by doping atoms of B, N, P and S. It is highly expected that high HER activity can be achieved in these doped SiC systems. Initially, we can obtain the doped structures for SiC by replacing the target C or Si atoms with B, N, P and S, respectively (Fig. 3). For convenience, these doped systems are denoted as XC/Si-SiC, where X represents the dopant atom. In the B and N doped SiC structures, all atoms lie in the same plane, whereas, in the S and P-doped structures, the S and P atoms are not coplanar with SiC lattice, and the S and P atoms deviate significantly from the surface. The corresponding bond lengths of the doped atoms with the C/Si atoms are listed in Table 1. Moreover, we also explore the electronic properties of these doped SiC systems by calculating their band structures (Fig. 3). Our computed results reveal that BSi-SiC and NC-SiC systems exhibit metallic behavior, and the other systems also maintain semiconductor behavior. Compared with the pristine SiC, the band gap uniformly decreases significantly, especially the BC-SiC, NSi-SiC, PC-SiC and PSi-SiC systems, in which the band gaps are 0.35, 0.19, 0.40 and 0.60 eV, respectively (Fig. 3 and Table 1), which increases the conductivity. Their excellent conductivity is advantageous for the progress of the electrocatalytic HER process. Based on the optimized structures, the thermal stabilities of 2D monolayer systems are examined through performing AIMD simulations at 300 K with DS-PAW software. As shown in Fig. 4, the total energy can fluctuate near the equilibrium value and the structure can be well retained, confirming their good thermal stabilities.
|
| Fig. 3 The optimized structures and band structures for B, N, S and P doped C or Si atom in the SiC monolayer, respectively. | |
Table 1 The bond length dX–C/Si of doped atom X (X = B, N, S and P) with the C/Si atom in the SiC monolayer, the calculated band gaps of XC/Si-SiC systems, and the computed ΔGH* (eV) values for H* at different adsorption sites (Sad) on the XC/Si-SiC systems
|
d
X–C/Si (Å) |
Band gap (eV) |
S
ad
|
ΔGH* (eV) |
SiC |
1.786 |
2.54 |
TSi |
1.35 |
TC |
1.49 |
BC-SiC |
1.887 |
0.35 |
TSi |
— |
TB |
−0.92 |
BSi-SiC |
1.594 |
Metallic |
TB |
— |
TC |
−0.82 |
NC-SiC |
1.775 |
Metallic |
TSi |
−1.69 |
TN |
1.98 |
NSi-SiC |
1.471 |
0.19 |
TN |
0.81 |
TC |
0.56 |
SC-SiC |
2.307 |
1.46 |
TSi |
−0.01 |
TS |
1.32 |
SSi-SiC |
1.798 |
2.06 |
TS |
2.54 |
TC |
1.67 |
PC-SiC |
2.258 |
0.40 |
TSi |
0.77 |
TP |
0.32 |
PSi-SiC |
1.767 |
0.60 |
TP |
−0.63 |
TC |
0.57 |
|
| Fig. 4 Total energy curves of ab initio molecular dynamics (AIMD) simulation for XC/Si-SiC (X = B, N, S and P) systems at 300 K. | |
Subsequently, we investigate the HER activities of these doped SiC systems by calculating the ΔGH* values of the adsorption sites. Ultimately, the configurations can be obtained with the adsorbed H* at the top sites over the dopant X or C/Si atoms, which are represented as TX and TC/TSi, respectively, as illustrated in Fig. 5. The computed results revealed that the H atom can be stably adsorbed on the adsorption site of the top of doped atom X (X = N, S and P) and C/Si atom, respectively. For B atom doped C atom in the SiC monolayer (BC-SiC), the H atom adsorption site is only the top of B atom, whereas the H atom adsorption site is only the top of C atom for the B atom doped Si atom (BSi-SiC).
|
| Fig. 5 The top and side views of optimized structures of the H atom at the top adsorption site of X (TX) or C/Si (TC/TSi) atoms in the XC/Si-SiC systems (X = B, N, S and P), respectively. | |
As revealed by the computed ΔGH* values (Fig. 6 and Table 1), doping B and P atoms uniformly improves the HER performance of the 2D SiC monolayer compared to doped N and S doped systems, resulting in considerably high HER activity. We first examine the effect of doping B on the HER catalytic activities of the 2D SiC systems. Our computed results reveal that when B substituted the C atom into SiC, the top adsorption site of doping B atom (TB) is the main active site that exhibit a ΔGH* value of −0.92 eV, however, when B substituted the Si atom into SiC, the top adsorption site of C atom (TC) doping sites is the main active site that exhibit a ΔGH* value of −0.82 eV. Obviously, doping B atoms can increase the HER catalytic activity of 2D SiC. For the N doped SiC systems, when N substituted the C atom into SiC, the top site of N and Si atoms has a ΔGH* value of −1.69 and 1.98 eV; however when N substituted the Si atom into SiC, the top site of N and C atoms has a ΔGH* value of −0.81 and 0.56 eV, respectively. So doping N atoms to substitute Si atoms exhibit a certain HER catalytic activity. When S substituted the Si atom into SiC systems, the catalytic activity of the HER on the top adsorption site of TS and TC is weak, where the ΔGH* values are 2.54 eV and 1.67 eV, respectively. However, when S substituted the C atom into SiC systems, the H atom adsorbed on the S atop exhibit a larger ΔGH* value of 1.32 eV, whereas the H atom adsorbed on the Si atop exhibit a ΔGH* value of nearly zero, which exhibits an excellent catalytic activity of the HER, but the SC-SiC systems exhibit a large bandgap of 1.46 eV. So doping S atoms into SiC systems exhibits poor HER catalytic activity. For the P doped SiC systems, when P substituted the C atom into SiC, the top site of P and Si atoms has a ΔGH* value 0.77 and 0.32 eV; however when P substituted the Si atom into SiC, the top site of P and C atom has a ΔGH* value −0.63 and 0.57 eV, respectively, and the substituted P atoms exhibit a certain HER catalytic activity for SiC monolayer systems. Obviously, the HER performance of 2D SiC is effectively improved by doping B, N and P atoms, and the P atom is superior to the others, in view of the smaller ΔGH* value for the active sites.
|
| Fig. 6 (a) The computed ΔGH* values at the top sites of X-SiC systems (X = B, N, S and P) and (b) the computed ΔGH* values at the TP sites as a function of tensile strain for PSi-SiC and PSi-SiC@G systems. | |
Applying tensile strain to boost the HER catalytic activities of PSi-SiC
Based on the above discussion, the P atom doped SiC system exhibit a small bandgap with good conductivity and smaller ΔGH* value, which is considered to be an excellent HER catalyst. In order to enhance the HER catalyst activity, we were applying tensile strain to modulate the HER activity. For the HER process, the H atom adsorbed on the active site is the first step, so we choose the H atom adsorbed on the top of the P atom in the PSi-SiC as the study system, in which ΔGH* is negative that the H atom automatically adsorbs to the active site.
We calculated the ΔGH* values of PSi-SiC under different tensile strains in the range of 0–10% (Fig. 6b). Under the condition of no tensile strain, the ΔGH* value of (TP)PSi-SiC is −0.63 eV while the ΔGH* values gradually increase with the increase of tensile strain from 0 to 10%, indicating considerably high HER activity. When the stress reaches 10%, the ΔGH* value is −0.46 eV, which is not comparable to the catalytic activity of the noble metal Pt. In addition, due to the band gap of PSi-SiC systems, its weak conductivity will affect its HER catalytic activation. So we combined the PSi-SiC structure with graphene (denoted as PSi-SiC@G) and explored its HER catalytic activation. The structure of PSi-SiC@G is shown in Fig. 7a and the computed results revealed that the band structure of PSi-SiC@G is metallic, indicating that the composite system PSi-SiC and graphene display excellent conductivity, which is conducive to HER catalytic activation. Moreover, the AIMD simulation of PSi-SiC@G at 300 K was examined, and revealed that the total energy fluctuates near the equilibrium value in which the structure can be well retained, confirming their good thermal stabilities. Then we calculated the HER performance of PSi-SiC@G; the ΔGH* value is −0.23 eV (Fig. 6b), which is obviously superior to the PSi-SiC system. In order to further enhance the HER activity of PSi-SiC@G systems, we applied tensile strain 0–10% on PSi-SiC@G. As the tensile strain increases, the ΔGH* value gradually increases, and the PSi-SiC@G monolayer exhibit the best HER catalytic activity with a ΔGH* value of −0.022 eV and 0.001 eV under 3% and 4% tensile strain, respectively (Fig. 6b).
|
| Fig. 7 (a) The optimized structure of PSi-SiC@G, (b) the band structure of PSi-SiC@G, and (c) the total energy curve of ab initio molecular dynamics (AIMD) simulation for the PSi-SiC@G system at 300 K. | |
Overall, doping atoms (B, N, S and P) with different electronegativities can regulate the HER catalytic performance of the 2D SiC monolayer. Moreover, applying tensile strain and making a composite with graphene can effectively enhance the HER catalytic performance of the P atom doped 2D SiC system, and the catalytic performance can be comparable to Pt metal.
Conclusion
Our theoretical investigation sheds light on the enhanced HER electrocatalytic activities of SiC monolayers through nonmetal doping and strain engineering. By employing density functional theory calculations, we systematically studied the effects of B, N, S, and P doping on the HER performance of 2D SiC. Our results demonstrate that B and P doping notably improve the catalytic activity, with P doping exhibiting the most promising results due to its smaller ΔGH* value of −0.63 eV. Moreover, we found that applying tensile strain further enhances the HER activity of PSi-SiC, offering additional improvements in catalytic performance. Additionally, we explored the composite structure of PSi-SiC with graphene, which exhibited enhanced conductivity and catalytic activity; meanwhile, the tensile strain of 3% and 4% applied on thr PSi-SiC@G system can exhibit excellent HER performance comparable to Pt metal. Our findings provide valuable insights into the design and development of efficient HER catalysts based on 2D SiC monolayers, offering promising prospects for sustainable hydrogen production and renewable energy technologies. Further experimental validation of these theoretical predictions would be essential for realizing their practical applications in the field of electrocatalysis.
Data availability
The data supporting this study's findings are available from the corresponding author upon reasonable request.
Author contributions
Bingwen Li: software, resources, project administration, writing – review & editing, and funding acquisition. Hongrui Shi: software, investigation, and writing. Zeyun Ni: investigation and software. Haifeng Zheng: formal analysis, validation, and visualization. Kehao Chen: investigation, software, and visualization. Yuting Yan: software. Huimin Qi: supervision. Xue Yu: conceptualization. Xinfang Wang: conceptualization. Liming Fan: conceptualization.
Conflicts of interest
The authors declare no competing financial interest.
Acknowledgements
This work is supported by the Natural Science Foundation of Shandong Province (ZR2021QB159). This work is also supported by the Talent Program Foundation of Dezhou University (NO. 2021xjrc102). We acknowledge the support from the Youth Innovation Team Lead-education Project of Shandong Educational Committee. We gratefully acknowledge the software support from HZWTECH. We thank Shenbo Yang and Yi Zhang (all from HZWTECH) for help and discussions regarding this study.
References
- Z. P. Cano, D. Banham, S. Ye, A. Hintennach, J. Lu, M. Fowler and Z. Chen, Nat. Energy, 2018, 3, 279–289 CrossRef.
- J. Chow, R. J. Kopp and P. R. Portney, Science, 2003, 302, 1528–1531 CrossRef PubMed.
- Q. Xu, B. Qian, Y. Zhang, H. Li and Y. Wu, ACS Appl. Energy Mater., 2022, 5, 13562–13570 CrossRef CAS.
- S. Chu and A. Majumdar, Nature, 2012, 488, 294–303 CrossRef CAS PubMed.
- C. W. Zheng, Q. Wang and C. Y. Li, Renewable Sustainable Energy Rev., 2017, 79, 1492–1502 CrossRef.
- Y. Hu, J. Chen, Z. Wei, Q. He and Y. Zhao, J. Mater. Inf., 2023, 3, 18 CAS.
- G. Gao, Y. Jiao, F. Ma, Y. Jiao, E. Waclawik and A. Du, J. Phys. Chem. C, 2015, 119, 13124–13128 CrossRef CAS.
- T. He, P. Pachfule, H. Wu, Q. Xu and P. Chen, Nat. Rev. Mater., 2016, 1, 1–17 Search PubMed.
- J. A. Turner, Science, 2004, 305, 972–974 CrossRef CAS PubMed.
- B. You and Y. Sun, Acc. Chem. Res., 2018, 51, 1571–1580 CrossRef CAS PubMed.
- X. Zou and Y. Zhang, Chem. Soc. Rev., 2015, 44, 5148–5180 RSC.
- W. Liu, W. Liu, T. Hou, J. Ding, Z. Wang, R. Yin, X. San, L. Feng, J. Luo and X. Liu, Nano Res., 2024, 17, 4797–4806 CrossRef CAS.
- Z. Peng, Q. Zhang, G. Qi, H. Zhang, Q. Liu, G. Hu, J. Luo and X. Liu, Chin. J. Struct. Chem., 2024, 43, 100191 CrossRef CAS.
- W. Li, K. Liu, S. Feng, Y. Xiao, L. Zhang, J. Mao, Q. Liu, X. Liu, J. Luo and L. Han, J. Colloid Interface Sci., 2024, 655, 726–735 CrossRef CAS PubMed.
- Y. Zheng, Y. Jiao, M. Jaroniec and S. Z. Qiao, Angew. Chem., Int. Ed., 2015, 54, 52–65 CrossRef CAS PubMed.
- B. E. Conway and B. V. Tilak, Electrochim. Acta, 2002, 47, 3571–3594 CrossRef CAS.
- R. Zhang, C. Tang, R. Kong, G. Du, A. M. Asiri, L. Chen and X. Sun, Nanoscale, 2017, 9, 4793–4800 RSC.
- Q. Xu, H. Li, Y. Shi, Z. Bi and Y. Wu, ACS Appl. Nano Mater., 2021, 4, 600–611 CrossRef CAS.
- J. Kibsgaard, Z. Chen, B. N. Reinecke and T. F. Jaramillo, Nat. Mater., 2012, 11, 963–969 CrossRef CAS PubMed.
- L. Zhang, Z. Yan, X. Chen, M. Yu, F. Liu, F. Cheng and J. Chen, Chem. Commun., 2020, 56, 2763–2766 RSC.
- Y. Zhao, F. Zhao, X. Wang, C. Xu, Z. Zhang, G. Shi and L. Qu, Angew. Chem., Int. Ed., 2014, 53, 13934–13939 CrossRef CAS PubMed.
- H. Lin, Z. Shi, S. He, X. Yu, S. Wang, Q. Gao and Y. Tang, Chem. Sci., 2016, 7, 3399–3405 RSC.
- Z. Zhou, L. Wei, Y. Wang, H. E. Karahan, Z. Chen, Y. Lei, X. Chen, S. Zhai, X. Liao and Y. Chen, J. Mater. Chem. A, 2017, 5, 20390–20397 RSC.
- X. Zhang, A. Chen, Z. Zhang, M. Jiao and Z. Zhou, J. Mater. Chem. A, 2018, 6, 11446–11452 RSC.
- Q. Gong, Y. Wang, Q. Hu, J. Zhou, R. Feng, P. N. Duchesne, P. Zhang, F. Chen, N. Han, Y. Li, C. Jin, Y. Li and S. T. Lee, Nat. Commun., 2016, 7, 13216 CrossRef CAS PubMed.
- J.-S. Qin, D.-Y. Du, W. Guan, X.-J. Bo, Y.-F. Li, L.-P. Guo, Z.-M. Su, Y.-Y. Wang, Y.-Q. Lan and H.-C. Zhou, J. Am. Chem. Soc., 2015, 137, 7169–7177 CrossRef CAS PubMed.
- J. Liu, G. Yu, X. Huang and W. Chen, 2D Mater., 2019, 7, 015015 CrossRef.
- X. Liu, G. Li, J. Liu and J. Zhao, Mol. Catal., 2022, 531, 112706 CrossRef CAS.
- S. Chandrasekaran, D. Ma, Y. Ge, L. Deng, C. Bowen, J. Roscow, Y. Zhang, Z. Lin, R. D. K. Misra, J. Li, P. Zhang and H. Zhang, Nano Energy, 2020, 77, 105080 CrossRef CAS.
- B. You, M. T. Tang, C. Tsai, F. Abild-Pedersen, X. Zheng and H. Li, Adv. Mater., 2019, 31, e1807001 CrossRef PubMed.
- R. Gusmão, M. Veselý and Z. Sofer, ACS Catal., 2020, 10, 9634–9648 CrossRef.
- C. He, X. Wu, J. Shen and P. K. Chu, Nano Lett., 2012, 12, 1545–1548 CrossRef CAS PubMed.
- X. Shen and S. T. Pantelides, J. Phys. Chem. Lett., 2013, 4, 100–104 CrossRef CAS PubMed.
- X. Fan, Z. Peng, J. Wang, R. Ye, H. Zhou and X. Guo, Adv. Funct. Mater., 2016, 26, 3621–3629 CrossRef CAS.
- R. J. Baierle, C. J. Rupp and J. Anversa, Appl. Surf. Sci., 2018, 435, 338–345 CrossRef CAS.
- W. Liao, G. Yu, L. Zhao, H. Zhu and W. Chen, Nanoscale, 2022, 14, 10918–10928 RSC.
- Q. Wang, E. Yang, R. Liu, M. Lv, W. Zhang, G. Yu and W. Chen, Molecules, 2022, 28 Search PubMed.
- C. Li, G. Yu, X. Shen, Y. Li and W. Chen, Molecules, 2022, 27, 5092 CrossRef CAS PubMed.
- G. Kresse and J. Furthmüller, Comput. Mater. Sci., 1996, 6, 15–50 CrossRef CAS.
- G. Kresse and J. Furthmuller, Phys. Rev. B: Condens. Matter Mater. Phys., 1996, 54, 11169–11186 CrossRef CAS PubMed.
- G. Kresse and D. Joubert, Phys. Rev.
B: Condens. Matter Mater. Phys., 1999, 59, 1758–1775 CrossRef CAS.
- S. Grimme, J. Comput. Chem., 2006, 27, 1787–1799 CrossRef CAS PubMed.
- H. J. Monkhorst and J. D. Pack, Phys. Rev. B: Solid State, 1976, 13, 5188–5192 CrossRef.
- P. E. Blochl, Phys. Rev. B: Condens. Matter Mater. Phys., 1994, 50, 17953–17979 CrossRef PubMed.
- J. Rossmeisl, A. Logadottir and J. K. Nørskov, Chem. Phys., 2005, 319, 178–184 CrossRef CAS.
- J. K. Nørskov, J. Rossmeisl, A. Logadottir, L. Lindqvist, J. R. Kitchin, T. Bligaard and H. Jónsson, J. Phys. Chem. B, 2004, 108, 17886–17892 CrossRef.
- W. Yi, G. Tang, X. Chen, B. Yang and X. Liu, Comput. Phys. Commun., 2020, 257 Search PubMed.
Footnote |
† These authors contributed equally to this work. |
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