journal article·2021-12-08

Novel polymorphs and polytypes of lithium chloride from structure predictions based on charge equilibration via neural network technique

Samare Rostami, S. Alireza Ghasemi, Stefan Goedecker

Physical Review Materials· Volume 5· Issue 12
Publisher page

Abstract

By an extensive structural search using the minima hopping method together with the charge equilibration via neural network technique (CENT) artificial neural network potential, we find several novel lithium chloride structures. Besides reproducing the known low energy phases of LiCl, the structural search reveals 86 new phases of which 42 are energetically lower than the rocksalt phase. We classify our structures based on their structural similarities. While many of them can be considered as polytypes of known structures, there are also entirely unexpected low-density polymorphs that contain empty cages and channels.
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Research context

OpenAlex topics: Inorganic Fluorides and Related Compounds · Advanced Chemical Physics Studies · Machine Learning in Materials Science

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

References (72)

Show source-provided references
1. 10.1021/jp970984n10.1021/jp970984n ↗
2. 10.1063/1.221093210.1063/1.2210932 ↗
3. 10.1088/0953-8984/23/5/05320110.1088/0953-8984/23/5/053201 ↗
4. 10.1103/PhysRevB.82.09411610.1103/PhysRevB.82.094116 ↗
5. 10.1063/1.172481610.1063/1.1724816 ↗
6. 10.1063/1.351290010.1063/1.3512900 ↗
7. 10.1063/1.483569510.1063/1.4835695 ↗
8. 10.1063/1.368460810.1063/1.3684608 ↗
9. 10.1103/PhysRevB.49.306610.1103/PhysRevB.49.3066 ↗
10. 10.2320/matertrans.46.110010.2320/matertrans.46.1100 ↗
11. 10.1103/PhysRevB.71.15340110.1103/PhysRevB.71.153401 ↗
12. 10.1103/PhysRev.175.114710.1103/PhysRev.175.1147 ↗
13. 10.1088/0031-8949/14/1-2/01110.1088/0031-8949/14/1-2/011 ↗
14. 10.1002/asia.20070032310.1002/asia.200700323 ↗
15. 10.1002/zaac.20090035710.1002/zaac.200900357 ↗
16. 10.1039/b809129c10.1039/b809129c ↗
17. 10.1103/PhysRevB.56.1535310.1103/PhysRevB.56.15353 ↗
18. D. B. Sirdeshmukh · 200110.1007/978-3-662-04341-7 ↗
19. 10.1016/j.cocom.2015.05.00110.1016/j.cocom.2015.05.001 ↗
20. 10.1103/PhysRevB.51.339110.1103/PhysRevB.51.3391 ↗
21. 10.1002/zaac.20040035210.1002/zaac.200400352 ↗
22. 10.1002/anie.20080033310.1002/anie.200800333 ↗
23. 10.1103/PhysRevB.45.1324410.1103/PhysRevB.45.13244 ↗
24. 10.1103/PhysRevA.38.309810.1103/PhysRevA.38.3098 ↗
25. 10.1063/1.46491310.1063/1.464913 ↗
26. 10.1103/PhysRevB.37.78510.1103/PhysRevB.37.785 ↗
27. 10.1103/PhysRevLett.115.03640210.1103/PhysRevLett.115.036402 ↗
28. 10.1103/PhysRevB.100.03513210.1103/PhysRevB.100.035132 ↗
29. 10.1063/1.481232310.1063/1.4812323 ↗
30. 10.1063/1.220861910.1063/1.2208619 ↗
31. 10.1140/epjd/e2007-00150-510.1140/epjd/e2007-00150-5 ↗
32. 10.1016/j.theochem.2010.01.00510.1016/j.theochem.2010.01.005 ↗
33. 10.1016/j.physe.2020.11416810.1016/j.physe.2020.114168 ↗
34. 10.1103/PhysRevB.92.04513110.1103/PhysRevB.92.045131 ↗
35. 10.1063/1.504000510.1063/1.5040005 ↗
36. 10.1063/1.353059010.1063/1.3530590 ↗
37. 10.1103/PhysRevE.77.05670710.1103/PhysRevE.77.056707 ↗
38. 10.1002/jcc.2649010.1002/jcc.26490 ↗
39. 10.1103/PhysRevB.96.06410810.1103/PhysRevB.96.064108 ↗
40. 10.1103/PhysRevMaterials.5.06360510.1103/PhysRevMaterials.5.063605 ↗
41. 10.1016/0038-1098(91)90590-R10.1016/0038-1098(91)90590-R ↗
42. R. Cheung · 200610.1142/p426 ↗
43. H. Matsunami · 2001
44. 10.1063/1.503053910.1063/1.5030539 ↗
45. 10.1103/PhysRevB.89.24530810.1103/PhysRevB.89.245308 ↗
46. 10.1016/0898-1221(88)90247-710.1016/0898-1221(88)90247-7 ↗
47. 10.3406/bulmi.1986.792210.3406/bulmi.1986.7922 ↗
48. 10.1103/PhysRevB.103.09411810.1103/PhysRevB.103.094118 ↗
49. 10.1021/nl104151210.1021/nl1041512 ↗
50. 10.1088/0953-8984/25/27/27320110.1088/0953-8984/25/27/273201 ↗
51. 10.1063/1.497901110.1063/1.4979011 ↗
52. 10.1002/crat.20100006610.1002/crat.201000066 ↗
53. 10.1021/acs.inorgchem.7b0252810.1021/acs.inorgchem.7b02528 ↗
54. 10.3390/cryst908042310.3390/cryst9080423 ↗
55. 10.1016/j.cpc.2020.10741510.1016/j.cpc.2020.107415 ↗
56. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
57. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
58. 10.1016/0927-0256(96)00008-010.1016/0927-0256(96)00008-0 ↗
59. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
60. 10.1016/j.scriptamat.2015.07.02110.1016/j.scriptamat.2015.07.021 ↗
61. 10.1038/npjcompumats.2015.1010.1038/npjcompumats.2015.10 ↗
62. 10.1126/sciadv.aaq014810.1126/sciadv.aaq0148 ↗
63. 10.21105/joss.0020510.21105/joss.00205 ↗
64. 10.1126/science.124207210.1126/science.1242072 ↗
65. 10.1063/1.494002610.1063/1.4940026 ↗
66. 10.1103/PhysRevLett.108.06550110.1103/PhysRevLett.108.065501 ↗
67. 10.1107/S002188980801201610.1107/S0021889808012016 ↗
68. 10.1038/s41524-021-00558-w10.1038/s41524-021-00558-w ↗
69. 10.3389/fchem.2018.0055010.3389/fchem.2018.00550 ↗
70. 10.1073/pnas.122073311010.1073/pnas.1220733110 ↗
71. 10.1016/j.memsci.2015.10.04910.1016/j.memsci.2015.10.049 ↗
72. 10.1016/j.solidstatesciences.2010.10.01810.1016/j.solidstatesciences.2010.10.018 ↗