journal article·2023-07-24

Quasi-2D PdSi2–xGexN4 (x = 0, 1, 2): Promising Candidates for Spontaneous Overall Water Splitting

Radha N Somaiya, Aftab Alam

ACS Applied Energy Materials· Volume 6· Issue 14
Publisher page

Abstract

Searching for ecofriendly and highly efficient photocatalysts for renewable energy conversion has been an ongoing challenge. Inspired by the successful synthesis of quasi-2D MoSi 2 N 4 and WSi 2 N 4, we investigated three members of this family, PdSi 2 N 4, Janus PdSiGeN 4, and PdGe 2 N 4, indicating excellent stability and promising photocatalytic performance using ab initio calculations. All three systems possess appropriate semiconducting band gaps and band edge alignments with robust chemical/dynamical stability. All three systems show excellent hydrogen evolution and oxygen evolution reaction (HER and OER) overpotentials to self-sustain the photocatalytic mechanism. PdGe 2 N 4 turns out to be the best candidate for HER activity, with Gibbs free energy (Δ G ) as low as −0.03 eV, even better than that of the traditional Pt catalyst (−0.09 eV). In the case of OER, Δ G is negative for all three systems (under the influence of the potential supplied by photogenerated holes), indicating that the process is spontaneous and no overpotential is required. We strongly believe that the promising photocatalytic performance of these quasi-2D systems reported here will open doors for their future experimental studies.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Photocatalysis Techniques · MXene and MAX Phase Materials · 2D Materials and Applications

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

Department of Physics, Indian Institute of Technology, Bombay, Powai, Mumbai 400076, India

Funding

Science and Engineering Research Board · Indian Institute of Technology Bombay

References (58)

Show source-provided references
1. 10.1021/jz502646d10.1021/jz502646d ↗
2. 10.1039/C4EE03271C10.1039/C4EE03271C ↗
3. 10.1016/j.mattod.2019.10.02210.1016/j.mattod.2019.10.022 ↗
4. 10.1038/238037a010.1038/238037a0 ↗
5. 10.1039/D1CS01182K10.1039/D1CS01182K ↗
6. 10.1021/acs.chemrev.7b0068910.1021/acs.chemrev.7b00689 ↗
7. 10.1149/1.185698810.1149/1.1856988 ↗
8. 10.1016/j.jelechem.2006.11.00810.1016/j.jelechem.2006.11.008 ↗
9. 10.1021/acsami.1c0413810.1021/acsami.1c04138 ↗
10. 10.1038/ncomms887310.1038/ncomms8873 ↗
11. 10.1021/acsnano.5b0504010.1021/acsnano.5b05040 ↗
12. 10.1038/s41929-018-0181-710.1038/s41929-018-0181-7 ↗
13. 10.1016/j.jallcom.2021.16083310.1016/j.jallcom.2021.160833 ↗
14. 10.1038/srep0185810.1038/srep01858 ↗
15. 10.1007/s11706-021-0577-110.1007/s11706-021-0577-1 ↗
16. 10.1038/nchem.158910.1038/nchem.1589 ↗
17. 10.1038/nnano.2014.3510.1038/nnano.2014.35 ↗
18. 10.1002/adma.20160529910.1002/adma.201605299 ↗
19. 10.1038/natrevmats.2016.6110.1038/natrevmats.2016.61 ↗
20. 10.1002/adma.20180700110.1002/adma.201807001 ↗
21. 10.1021/acs.nanolett.8b0256110.1021/acs.nanolett.8b02561 ↗
22. 10.1038/nnano.2017.10010.1038/nnano.2017.100 ↗
23. 10.1021/acsnano.7b0318610.1021/acsnano.7b03186 ↗
24. 10.1126/science.abb702310.1126/science.abb7023 ↗
25. 10.1038/s41467-021-22324-810.1038/s41467-021-22324-8 ↗
26. 10.1002/adfm.20221405010.1002/adfm.202214050 ↗
27. 10.1021/acs.jpclett.1c0265010.1021/acs.jpclett.1c02650 ↗
28. 10.1103/PhysRevB.102.23543510.1103/PhysRevB.102.235435 ↗
29. 10.1209/0295-5075/132/5700210.1209/0295-5075/132/57002 ↗
30. 10.1063/5.004443110.1063/5.0044431 ↗
31. 10.1103/PhysRevMaterials.5.04580110.1103/PhysRevMaterials.5.045801 ↗
32. 10.1021/acs.jpcc.1c0673410.1021/acs.jpcc.1c06734 ↗
33. 10.1103/PhysRev.136.B86410.1103/PhysRev.136.B864 ↗
34. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
35. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
36. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
37. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
38. 10.1103/PhysRevB.33.880010.1103/PhysRevB.33.8800 ↗
39. 10.1063/1.156406010.1063/1.1564060 ↗
40. 10.1103/PhysRevB.83.19513110.1103/PhysRevB.83.195131 ↗
41. 10.1103/PhysRevLett.92.24640110.1103/PhysRevLett.92.246401 ↗
42. 10.1103/PhysRevB.13.518810.1103/PhysRevB.13.5188 ↗
43. 10.1103/PhysRevB.16.174810.1103/PhysRevB.16.1748 ↗
44. 10.1002/jcc.2057510.1002/jcc.20575 ↗
45. 10.1103/PhysRevB.78.13410610.1103/PhysRevB.78.134106 ↗
46. 10.1103/PhysRevB.55.1035510.1103/PhysRevB.55.10355 ↗
47. 10.1002/adts.20180018410.1002/adts.201800184 ↗
48. 10.1002/cctc.20100039710.1002/cctc.201000397 ↗
49. 10.1021/acs.jpcc.1c0394710.1021/acs.jpcc.1c03947 ↗
50. Johnson, III, R. D.NIST computational chemistry comparison and benchmark database, NIST standard reference database number 101. Release 16a http://cccbdb.nist.gov/ (accessed March 13, 2015) 2013.
51. 10.1021/acs.chemmater.6b0139510.1021/acs.chemmater.6b01395 ↗
52. 10.3390/molecules2718603810.3390/molecules27186038 ↗
53. 10.1039/C9NJ05229A10.1039/C9NJ05229A ↗
54. 10.1021/acsami.7b1247810.1021/acsami.7b12478 ↗
55. 10.1039/C4CP01237B10.1039/C4CP01237B ↗
56. 10.1016/j.ijhydene.2022.11.29810.1016/j.ijhydene.2022.11.298 ↗
57. 10.1021/acs.jpcc.1c0704410.1021/acs.jpcc.1c07044 ↗
58. 10.1016/j.apsusc.2022.15313110.1016/j.apsusc.2022.153131 ↗