journal article·2024-11-12Open access

Revealing the Interplay of Local Environments and Ionic Transport in Perovskite Solid Electrolytes

Junghwa Kim, Kiarash Gordiz, Daniele Vivona, Lambert Hu, Colin Gilgenbach, Bryce A. Tappan, Sokseiha Muy, James M. LeBeau, Yang Shao-Horn

ACS Nano· Volume 18· Issue 45

Abstract

Solid-state ionic conduction is significantly influenced by bottleneck sizes, which impede ion diffusion within solid lattices. Using aberration-corrected scanning transmission electron microscopy and multislice electron ptychography, we directly observed that increased La occupancy in the perovskite solid electrolyte Li 0.5 La 0.5 TiO 3 correlates with reduced bottleneck sizes formed by four oxygen atoms connecting neighboring A-site cages. This correlation was also confirmed in local aperiodic regions, where smaller bottleneck sizes due to increased La occupancies affect the directionality and dimensionality of the Li + ion conductivity. Furthermore, while prior studies have focused on averaged Li + ion diffusion across different bottleneck areas or chemical environments, by devising a molecular dynamics (MD)-based methodology, we quantify the diffusivity of Li + ions through specific bottleneck regions. Atomistic simulations, including nudged elastic band calculations and this MD-based methodology, revealed that larger bottleneck sizes correlate with smaller local migration barriers and higher local diffusivity. This study elucidates the relationship among local chemistry, lattice structure, and Li + ion transport, providing insights for the design of advanced oxide solid electrolytes.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Advanced Battery Materials and Technologies · Thermal Expansion and Ionic Conductivity · Magnetic and transport properties of perovskites and related materials

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

Affiliations

Department of Materials Science and Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, Massachusetts 02139, United States

Research Laboratory of Electronics, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, Massachusetts 02139, United States

Department of Mechanical Engineering, Massachusetts Institute of Technology, 77 Massachusetts Ave., Cambridge, Massachusetts 02139, United States

Theory and Simulations of Materials (THEOS) and National Centre for Computational Design and Discovery of Novel Materials (MARVEL), École Polytechnique Fédérale de Lausanne, CH-1015 Lausanne, Switzerland

Funding

Ames Research Center · Air Force Office of Scientific Research

References (56)

Show source-provided references
1. 10.1021/acsenergylett.7b0084910.1021/acsenergylett.7b00849 ↗
2. 10.1021/acsami.5b0751710.1021/acsami.5b07517 ↗
3. 10.1557/mrs.2018.23410.1557/mrs.2018.234 ↗
4. 10.1039/D1MA00082A10.1039/D1MA00082A ↗
5. 10.1080/10408436.2018.148555110.1080/10408436.2018.1485551 ↗
6. 10.1016/j.ssi.2010.12.01610.1016/j.ssi.2010.12.016 ↗
7. 10.1016/0167-2738(94)90309-310.1016/0167-2738(94)90309-3 ↗
8. 10.1016/j.ceramint.2013.05.08310.1016/j.ceramint.2013.05.083 ↗
9. 10.1016/j.ssi.2006.08.01210.1016/j.ssi.2006.08.012 ↗
10. 10.1557/PROC-453-62310.1557/PROC-453-623 ↗
11. 10.1016/0167-2738(96)00100-210.1016/0167-2738(96)00100-2 ↗
12. 10.1016/S0167-2738(99)00043-010.1016/S0167-2738(99)00043-0 ↗
13. 10.1149/1.205504310.1149/1.2055043 ↗
14. 10.1021/acs.chemmater.7b0523710.1021/acs.chemmater.7b05237 ↗
15. 10.1103/PhysRevB.74.09410510.1103/PhysRevB.74.094105 ↗
16. 10.1039/C2EE23355J10.1039/C2EE23355J ↗
17. 10.1038/nmat436910.1038/nmat4369 ↗
18. 10.1002/aenm.20190207810.1002/aenm.201902078 ↗
19. 10.1007/s11581-020-03582-w10.1007/s11581-020-03582-w ↗
20. 10.1016/j.ensm.2021.05.03310.1016/j.ensm.2021.05.033 ↗
21. 10.1016/j.jcis.2022.07.12410.1016/j.jcis.2022.07.124 ↗
22. 10.1016/j.ensm.2024.10343310.1016/j.ensm.2024.103433 ↗
23. 10.1016/S0167-2738(98)00070-810.1016/S0167-2738(98)00070-8 ↗
24. 10.1006/jssc.1996.038510.1006/jssc.1996.0385 ↗
25. 10.1016/j.ultramic.2023.11382310.1016/j.ultramic.2023.113823 ↗
26. 10.1007/BF0237608110.1007/BF02376081 ↗
27. 10.1021/cm981038210.1021/cm9810382 ↗
28. 10.1039/b614345h10.1039/b614345h ↗
29. 10.1038/s41467-020-17233-110.1038/s41467-020-17233-1 ↗
30. 10.1016/S0167-2738(99)00043-010.1016/S0167-2738(99)00043-0 ↗
31. 10.1016/S0167-2738(98)00070-810.1016/S0167-2738(98)00070-8 ↗
32. 10.4028/www.scientific.net/KEM.169-170.20910.4028/www.scientific.net/KEM.169-170.209 ↗
33. 10.1016/j.ssi.2019.03.01510.1016/j.ssi.2019.03.015 ↗
34. 10.1039/D1TA08853J10.1039/D1TA08853J ↗
35. 10.1016/0304-3991(91)90004-P10.1016/0304-3991(91)90004-P ↗
36. 10.1016/j.jallcom.2017.05.27810.1016/j.jallcom.2017.05.278 ↗
37. 10.1111/j.1551-2916.2004.00859.x10.1111/j.1551-2916.2004.00859.x ↗
38. 10.1038/s41578-021-00401-010.1038/s41578-021-00401-0 ↗
39. 10.1016/j.ultramic.2015.10.01110.1016/j.ultramic.2015.10.011 ↗
40. 10.1038/s41598-018-20530-x10.1038/s41598-018-20530-x ↗
41. 10.1016/j.jallcom.2009.03.03810.1016/j.jallcom.2009.03.038 ↗
42. 10.1016/j.jpcs.2015.12.01510.1016/j.jpcs.2015.12.015 ↗
43. 10.1016/0022-3697(57)90059-810.1016/0022-3697(57)90059-8 ↗
44. 10.1021/cm020462710.1021/cm0204627 ↗
45. 10.1021/cm070946910.1021/cm0709469 ↗
46. 10.1038/s41467-019-10663-610.1038/s41467-019-10663-6 ↗
47. 10.1038/ncomms1589310.1038/ncomms15893 ↗
48. 10.1063/1.284194110.1063/1.2841941 ↗
49. 10.1016/j.ssi.2023.11628610.1016/j.ssi.2023.116286 ↗
50. 10.1016/j.ultramic.2013.12.00410.1016/j.ultramic.2013.12.004 ↗
51. 10.1017/S143192761501566410.1017/S1431927615015664 ↗
52. 10.1126/science.abg253310.1126/science.abg2533 ↗
53. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
54. 10.1063/1.47293310.1063/1.472933 ↗
55. 10.1111/jace.1330710.1111/jace.13307 ↗
56. 10.1006/jcph.1995.103910.1006/jcph.1995.1039 ↗