journal article·2022-02-08Open access

Exploring the Synthesis of Alkali Metal Anti-perovskites

Kwangnam Kim, Yiliang Li, Ping-Chun Tsai, Fei Wang, Seoung-Bum Son, Yet-Ming Chiang, Donald J. Siegel

Chemistry of Materials· Volume 34· Issue 3

Abstract

The development of solid-state batteries has been slowed by limited understanding of the features that control ion mobility in solid electrolytes (SEs). In the case of anti-perovskite (AP) SE, lattice distortions have been proposed as one such controlling factor: APs that exhibit distortions of the octahedral building blocks are predicted to exhibit enhanced ionic mobility. Nevertheless, large distortions come at the cost of stability, implying a tradeoff between stability and ionic mobility. The present study combines theory and experiments to explore the synthesizability of several marginally stable APs predicted to exhibit high mobility for Li+, Na+, and K+. Density functional theory calculations, in combination with the quasi-harmonic approximation, were used to predict the free energy change, ΔGr(T), for synthesis reactions involving 36 alkali metal-based APs, X3AZ (X = Li, Na, or K; A = O, S, or Se; and Z = F, Cl, Br, or I). A linear correlation is observed between the degree of lattice distortion and the stabilization temperature, at which ΔGr(T) = 0. Hence, APs with the highest ionic mobility generally require the highest synthesis temperature. These data were used to guide experimental synthesis efforts of APs by estimating the temperatures above which a given AP is expected to be thermodynamically stable. Attempts were made to synthesize several AP compositions; overall, good agreement is obtained between experiments and computation. These data suggest that a compound’s zero K decomposition energy is an efficient descriptor for predicting the ease and likelihood of synthesizing new SEs.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Battery Materials and Technologies · Thermal Expansion and Ionic Conductivity · Perovskite Materials and Applications

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

Affiliations

Mechanical Engineering Department, University of Michigan, Ann Arbor, Michigan 48109-2125, United States

Department of Materials Science and Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139, United States

Department of Mechanical Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan

Joint Center for Energy Storage Research, University of Michigan, Ann Arbor, Michigan 48109-2125, United States

Materials Science & Engineering, University of Michigan, Ann Arbor, Michigan 48109-2125, United States

Applied Physics Program, University of Michigan, Ann Arbor, Michigan 48109-2125, United States

Funding

Basic Energy Sciences

References (91)

Show source-provided references
1. 10.1002/aenm.20120002610.1002/aenm.201200026 ↗
2. 10.1021/acsami.6b0798910.1021/acsami.6b07989 ↗
3. 10.1002/aenm.20170238410.1002/aenm.201702384 ↗
4. 10.1149/2.F04122if10.1149/2.F04122if ↗
5. 10.1149/1.185085410.1149/1.1850854 ↗
6. 10.1038/nenergy.2016.4210.1038/nenergy.2016.42 ↗
7. 10.1038/s41560-017-0047-210.1038/s41560-017-0047-2 ↗
8. 10.1002/anie.20070114410.1002/anie.200701144 ↗
9. 10.1002/anie.20070390010.1002/anie.200703900 ↗
10. 10.1038/nmat306610.1038/nmat3066 ↗
11. 10.1021/ja305709z10.1021/ja305709z ↗
12. 10.1038/ncomms1100910.1038/ncomms11009 ↗
13. 10.1038/nenergy.2016.3010.1038/nenergy.2016.30 ↗
14. 10.1039/C8EE01053F10.1039/C8EE01053F ↗
15. 10.1021/acsami.5b0751710.1021/acsami.5b07517 ↗
16. 10.1021/acs.chemmater.5b0408210.1021/acs.chemmater.5b04082 ↗
17. 10.1021/acs.chemmater.6b0061010.1021/acs.chemmater.6b00610 ↗
18. 10.1016/j.electacta.2016.12.01810.1016/j.electacta.2016.12.018 ↗
19. 10.1002/aenm.20170100310.1002/aenm.201701003 ↗
20. 10.1021/acsenergylett.8b0024910.1021/acsenergylett.8b00249 ↗
21. 10.1039/C2EE23355J10.1039/C2EE23355J ↗
22. 10.1038/nmat436910.1038/nmat4369 ↗
23. 10.1021/acs.chemmater.5b0234210.1021/acs.chemmater.5b02342 ↗
24. 10.1038/s41467-017-01772-110.1038/s41467-017-01772-1 ↗
25. 10.1021/jacs.7b0632710.1021/jacs.7b06327 ↗
26. 10.1039/C7EE03364H10.1039/C7EE03364H ↗
27. 10.1039/C8TA10989C10.1039/C8TA10989C ↗
28. Kim, K. Computational Discovery of Solid Electrolytes for Batteries: Interfacial Phenomena and Ion Mobility. Ph.D. Thesis, University of Michigan, Ann Arbor, 2020.
29. 10.1007/BF0150752710.1007/BF01507527 ↗
30. 10.1039/D1TA03680G10.1039/D1TA03680G ↗
31. 10.1021/cm401622210.1021/cm4016222 ↗
32. 10.1103/PhysRevB.87.13430310.1103/PhysRevB.87.134303 ↗
33. 10.1103/PhysRevB.91.21430610.1103/PhysRevB.91.214306 ↗
34. 10.1039/c7ta08698a10.1039/c7ta08698a ↗
35. 10.1002/anie.20160455410.1002/anie.201604554 ↗
36. 10.1021/acs.chemmater.8b0256810.1021/acs.chemmater.8b02568 ↗
37. 10.1103/RevModPhys.74.1110.1103/RevModPhys.74.11 ↗
38. 10.1126/sciadv.160022510.1126/sciadv.1600225 ↗
39. 10.1021/acs.inorgchem.0c0170510.1021/acs.inorgchem.0c01705 ↗
40. 10.1088/0953-8984/13/10/32110.1088/0953-8984/13/10/321 ↗
41. Lindemann F. A. · Phys. Z. · 1910 · 11 · 609
42. 10.1021/acs.chemmater.7b0015610.1021/acs.chemmater.7b00156 ↗
43. 10.1038/sdata.2017.15310.1038/sdata.2017.153 ↗
44. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
45. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
46. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
47. 10.1103/PhysRevB.59.175810.1103/PhysRevB.59.1758 ↗
48. 10.1063/1.492805810.1063/1.4928058 ↗
49. 10.1021/cm702327g10.1021/cm702327g ↗
50. 10.1073/pnas.30.9.24410.1073/pnas.30.9.244 ↗
51. 10.1103/PhysRevLett.78.406310.1103/PhysRevLett.78.4063 ↗
52. 10.1103/PhysRevB.1.91010.1103/PhysRevB.1.910 ↗
53. 10.1103/physrevlett.81.329710.1103/physrevlett.81.3297 ↗
54. 10.1103/physrevlett.81.329810.1103/physrevlett.81.3298 ↗
55. Maradudin A. A. · 1971
56. 10.1080/0015019020826060110.1080/00150190208260601 ↗
57. Parlinski, K. PHONON Software, Kraków, 2013.
58. Pines D. · 2018
59. 10.1016/0022-3697(63)90067-210.1016/0022-3697(63)90067-2 ↗
60. Schreiber E. · 1973
61. Voigt W. · 1928
62. 10.1002/zamm.1929009010410.1002/zamm.19290090104 ↗
63. 10.1063/1.36873310.1063/1.368733 ↗
64. 10.1002/adma.20160197910.1002/adma.201601979 ↗
65. 10.1002/anie.19911547110.1002/anie.199115471 ↗
66. 10.1039/c8ee00779a10.1039/c8ee00779a ↗
67. 10.1002/advs.20150035910.1002/advs.201500359 ↗
68. 10.1063/1.496243710.1063/1.4962437 ↗
69. 10.1103/PhysRevMaterials.1.07540610.1103/PhysRevMaterials.1.075406 ↗
70. 10.1002/aenm.20190348010.1002/aenm.201903480 ↗
71. 10.1021/acs.chemmater.0c0260210.1021/acs.chemmater.0c02602 ↗
72. 10.1002/zaac.1994620031110.1002/zaac.19946200311 ↗
73. 10.1524/zkri.218.8.536.2068610.1524/zkri.218.8.536.20686 ↗
74. 10.1002/cphc.20039006010.1002/cphc.200390060 ↗
75. 10.1016/j.inoche.2014.08.03610.1016/j.inoche.2014.08.036 ↗
76. 10.1021/jacs.5b1185110.1021/jacs.5b11851 ↗
77. 10.1016/j.ssi.2015.11.02710.1016/j.ssi.2015.11.027 ↗
78. 10.1039/C5EE02924D10.1039/C5EE02924D ↗
79. 10.1063/1.481232310.1063/1.4812323 ↗
80. Parambil J. V. · 2017 · 23510.1007/978-94-024-1117-1_13 ↗
81. 10.1016/j.jpowsour.2021.23003110.1016/j.jpowsour.2021.230031 ↗
82. 10.1524/zkri.1991.196.1-4.19310.1524/zkri.1991.196.1-4.193 ↗
83. 10.1016/j.jpowsour.2015.06.00210.1016/j.jpowsour.2015.06.002 ↗
84. 10.1107/S010827018900990X10.1107/S010827018900990X ↗
85. 10.1149/2.0091610jes10.1149/2.0091610jes ↗
86. 10.1021/acs.inorgchem.6b0044410.1021/acs.inorgchem.6b00444 ↗
87. 10.1021/jacs.9b0174610.1021/jacs.9b01746 ↗
88. 10.1016/j.jpowsour.2020.22848910.1016/j.jpowsour.2020.228489 ↗
89. 10.1021/jacs.1c0426010.1021/jacs.1c04260 ↗
90. 10.1038/s41467-020-20370-210.1038/s41467-020-20370-2 ↗
91. Rumble J. R. · 2018