Quick-start guide for first-principles modelling of semiconductor interfaces
Source abstract
Abstract
Interfaces between dissimilar materials control the transport of energy in a range of technologies including solar cells (electron transport), batteries (ion transport), and thermoelectrics (heat transport). Advances in computer power and algorithms mean that first-principles models of interfacial processes in realistic systems are now possible using accurate approaches such as density functional theory. In this 'quick-start guide', we discuss the best practice in how to construct atomic models between two materials and analysis techniques appropriate to probe changes in local bonding and electronic band offsets. A number of examples are given related to perovskite solar cells.
Source: openalex_inverted_index · Quality: baseline
Research context
OpenAlex topics: Semiconductor Quantum Structures and Devices · Perovskite Materials and Applications · Advanced Semiconductor Detectors and Materials
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (52)
Show source-provided references
1. 10.1142/S021797920201024510.1142/S0217979202010245 ↗
2. 10.1103/PhysRev.47.47910.1103/PhysRev.47.479 ↗
3. 10.1098/rspa.1939.005110.1098/rspa.1939.0051 ↗
4. 10.1103/PhysRevLett.39.10910.1103/PhysRevLett.39.109 ↗
5. 10.1103/PhysRevB.13.246110.1103/PhysRevB.13.2461 ↗
6. 10.1016/0749-6036(89)90090-610.1016/0749-6036(89)90090-6 ↗
7. 10.1103/PhysRevB.39.187110.1103/PhysRevB.39.1871 ↗
8. 10.1063/1.12124910.1063/1.121249 ↗
9. Peressi M · J. Phys. D: Appl. Phys. · 1998 · 31 · 127310.1088/0022-3727/31/11/002 ↗
10. 10.1038/2390810.1038/23908 ↗
11. 10.1016/j.sse.2004.11.01110.1016/j.sse.2004.11.011 ↗
12. 10.1103/PhysRevB.75.20512110.1103/PhysRevB.75.205121 ↗
13. 10.1103/PhysRevLett.108.14610310.1103/PhysRevLett.108.146103 ↗
14. 10.1021/cm402113k10.1021/cm402113k ↗
15. 10.1098/rsta.2010.011110.1098/rsta.2010.0111 ↗
16. 10.1103/PhysRevB.86.23530410.1103/PhysRevB.86.235304 ↗
17. 10.1038/nmat378410.1038/nmat3784 ↗
18. 10.1103/PhysRevB.87.23532110.1103/PhysRevB.87.235321 ↗
19. 10.1021/acsenergylett.8b0076410.1021/acsenergylett.8b00764 ↗
20. 10.1039/C4MH00174E10.1039/C4MH00174E ↗
21. 10.1103/PhysRev.39.67510.1103/PhysRev.39.675 ↗
22. Tasker P · J. Phys. C: Solid State Phys. · 1979 · 12 · 497710.1088/0022-3719/12/22/036 ↗
23. 10.1063/1.33308410.1063/1.333084 ↗
24. 10.1039/C5TC04091D10.1039/C5TC04091D ↗
25. 10.1016/j.cpc.2015.08.03810.1016/j.cpc.2015.08.038 ↗
26. 10.1103/PhysRevB.96.08530610.1103/PhysRevB.96.085306 ↗
27. 10.1179/026708310X1263561998798910.1179/026708310X12635619987989 ↗
28. 10.1016/0001-6160(87)90067-810.1016/0001-6160(87)90067-8 ↗
29. 10.1021/acs.jpcc.7b1000010.1021/acs.jpcc.7b10000 ↗
30. 10.1103/PhysRevMaterials.2.04540310.1103/PhysRevMaterials.2.045403 ↗
31. 10.1038/s41578-018-0026-710.1038/s41578-018-0026-7 ↗
32. 10.1038/sdata.2016.8010.1038/sdata.2016.80 ↗
33. 10.1021/acsnano.6b0750210.1021/acsnano.6b07502 ↗
34. Scheiber D · Modelling Simul. Mater. Sci. Eng. · 2016 · 24
35. Finnis M W · J. Phys.: Condens. Matter · 1996 · 8 · 581110.1088/0953-8984/8/32/003 ↗
36. 10.1063/1.273056110.1063/1.2730561 ↗
37. 10.1103/PhysRevLett.64.55510.1103/PhysRevLett.64.555 ↗
38. 10.1021/ja411007310.1021/ja4110073 ↗
39. 10.1147/rd.43.028310.1147/rd.43.0283 ↗
40. 10.1103/PhysRevLett.52.46510.1103/PhysRevLett.52.465 ↗
41. 10.1103/PhysRevB.37.711210.1103/PhysRevB.37.7112 ↗
42. 10.1063/1.314362610.1063/1.3143626 ↗
43. 10.1063/1.359297810.1063/1.3592978 ↗
44. 10.1103/PhysRevB.95.12530910.1103/PhysRevB.95.125309 ↗
45. 10.1063/1.497683010.1063/1.4976830 ↗
46. 10.1016/0169-4332(95)00257-X10.1016/0169-4332(95)00257-X ↗
47. 10.1103/PhysRevB.64.23531210.1103/PhysRevB.64.235312 ↗
48. Inkson J C · J. Phys. C: Solid State Phys. · 1973 · 6 · 135010.1088/0022-3719/6/8/004 ↗
49. 10.1103/PhysRevB.64.24511210.1103/PhysRevB.64.245112 ↗
50. 10.1016/0378-5963(83)90040-510.1016/0378-5963(83)90040-5 ↗
51. 10.1016/0956-7151(92)90260-L10.1016/0956-7151(92)90260-L ↗
52. 10.1103/PhysRevLett.101.10680210.1103/PhysRevLett.101.106802 ↗