journal article·2026-04-03

Charges in III-nitrides from electron density partitioning

Roman Gröger, Jan Fikar

Philosophical Magazine· Volume 106· Issue 7
Publisher page

Abstract

We employ density functional theory (DFT) calculations coupled with multiple charge partitioning schemes to determine static net atomic charges in III-nitride materials BN, AlN, GaN, and InN across their rocksalt, zincblende, and wurtzite structures. The DFT-derived data enable characterisation of radial electron density decays through exponential functions with coefficients determined from spherically averaged valence charge densities. By fitting the calculated charge densities to Slater 1s orbital expressions, we extract decay exponents and effective core charges compatible with the Streitz-Mintmire framework. These parameters, combined with electrostatic properties of isolated atoms, provide a comprehensive dataset for charge equilibration methods based on the electronegativity equalisation principle.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Machine Learning in Materials Science · Semiconductor materials and devices · Inorganic Chemistry and Materials

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

Affiliations

Czech Academy of Sciences

Funding

Czech Science Foundation · Ministry of Education, Youth and Sports

References (36)

Show source-provided references
1. 10.1103/PhysRevB.58.622410.1103/PhysRevB.58.6224 ↗
2. 10.1063/1.174058810.1063/1.1740588 ↗
3. 10.1063/1.174763210.1063/1.1747632 ↗
4. 10.1007/BF0054909610.1007/BF00549096 ↗
5. 10.1021/ar00109a00310.1021/ar00109a003 ↗
6. 10.1063/1.355371610.1063/1.3553716 ↗
7. 10.1021/ct100125x10.1021/ct100125x ↗
8. 10.1021/ct300219910.1021/ct3002199 ↗
9. 10.1039/C6RA04656H10.1039/C6RA04656H ↗
10. 10.1039/C6RA05507A10.1039/C6RA05507A ↗
11. 10.1002/cphc.20200004010.1002/cphc.202000040 ↗
12. 10.1021/j100161a07010.1021/j100161a070 ↗
13. 10.1103/PhysRevB.50.1199610.1103/PhysRevB.50.11996 ↗
14. 10.1021/jz300848510.1021/jz3008485 ↗
15. 10.1088/0953-8984/21/39/39550210.1088/0953-8984/21/39/395502 ↗
16. 10.1088/1361-648X/aa8f7910.1088/1361-648X/aa8f79 ↗
17. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
18. D. Rappoport N.R.M. Crawford F. Furche and K. Burke Approximate Density Functionals: Which Should I Choose? in Encyclopedia of Inorganic and Bioinorganic Chemistry (2nd ed.) R.B. King eds. J. Wiley & Sons Ltd. 2009.
19. 10.1016/j.cpc.2013.12.02310.1016/j.cpc.2013.12.023 ↗
20. 10.1103/PhysRevB.13.518810.1103/PhysRevB.13.5188 ↗
21. 10.1016/j.cpc.2013.10.02610.1016/j.cpc.2013.10.026 ↗
22. 10.1016/0022-3697(94)90221-610.1016/0022-3697(94)90221-6 ↗
23. 10.1088/0953-8984/16/20/00810.1088/0953-8984/16/20/008 ↗
24. 10.1021/acsami.0c1112410.1021/acsami.0c11124 ↗
25. 10.1016/j.cocom.2024.e0089810.1016/j.cocom.2024.e00898 ↗
26. 10.1016/j.mser.2020.10057810.1016/j.mser.2020.100578 ↗
27. 10.1063/1.47792310.1063/1.477923 ↗
28. 10.1007/BF0132837310.1007/BF01328373 ↗
29. 10.1103/PhysRevLett.87.20550410.1103/PhysRevLett.87.205504 ↗
30. 10.1038/nmat294110.1038/nmat2941 ↗
31. 10.1021/acsnano.3c1029910.1021/acsnano.3c10299 ↗
32. 10.1107/S056773947800188610.1107/S0567739478001886 ↗
33. 10.1107/S056773947900012710.1107/S0567739479000127 ↗
34. 10.1107/S056774087800351910.1107/S0567740878003519 ↗
35. 10.1021/jp511985d10.1021/jp511985d ↗
36. 10.1070/RCR486610.1070/RCR4866 ↗