journal article·2020-08-26

Combining Superionic Conduction and Favorable Decomposition Products in the Crystalline Lithium–Boron–Sulfur System: A New Mechanism for Stabilizing Solid Li-Ion Electrolytes

Austin D. Sendek, Evan R. Antoniuk, Ekin D. Cubuk, Brandi Ransom, Brian E. Francisco, Josh Buettner-Garrett, Yi Cui, Evan J. Reed

ACS Applied Materials & Interfaces· Volume 12· Issue 34
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Abstract

We report a solid-state Li-ion electrolyte predicted to exhibit simultaneously fast ionic conductivity, wide electrochemical stability, low cost, and low mass density. We report exceptional density functional theory (DFT)-based room-temperature single-crystal ionic conductivity values for two phases within the crystalline lithium–boron–sulfur (Li–B–S) system: 62 (+9, −2) mS cm–1 in Li5B7S13 and 80 (−56, −41) mS cm–1 in Li9B19S33. We report significant ionic conductivity values for two additional phases: between 0.0056 and 0.16 mS/cm –1 in Li2B2S5 and between 0.0031 and 9.7 mS cm–1 in Li3BS3 depending on the room-temperature extrapolation scheme used. To our knowledge, our prediction gives Li9B19S33 and Li5B7S13 the second and third highest reported DFT-computed single-crystal ionic conductivities of any crystalline material. We compute the thermodynamic electrochemical stability window widths of these materials to be 0.50 V for Li5B7S13, 0.16 V for Li2B2S5, 0.45 V for Li3BS3, and 0.60 V for Li9B19S33. Individually, these materials exhibit similar or better ionic conductivity and electrochemical stability than the best-known sulfide-based solid-state Li-ion electrolyte materials, including Li10GeP2S12 (LGPS). However, we predict that electrolyte materials synthesized from a range of compositions in the Li–B–S system may exhibit even wider thermodynamic electrochemical stability windows of 0.63 V and possibly as high as 3 V or greater. The Li–B–S system also has a low elemental cost of approximately 0.05 USD/m2 per 10 μm thickness, which is significantly lower than that of germanium-containing LGPS, and a comparable mass density below 2 g/cm3. These fast-conducting phases were initially brought to our attention by a machine learning-based approach to screen over 12,000 solid electrolyte candidates, and the evidence provided here represents an inspiring success for this model.
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Research context

OpenAlex topics: Advanced Battery Materials and Technologies · Advancements in Battery Materials · Zeolite Catalysis and Synthesis

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

Affiliations

Department of Applied Physics, Stanford University, Stanford, California 94305, United States

Department of Materials Science & Engineering, Stanford University, Stanford, California 94305, United States

Aionics, Inc., Evanston, Wyoming 82930, United States

Department of Chemistry, Stanford University, Stanford, California 94305, United States

Google Brain, Mountain View, California 94043, United States

Solid Power, Inc., Louisville, Colorado 80027, United States

Funding

Stanford University · Toyota Research Institute

References (65)

Show source-provided references
1. 10.1038/nenergy.2016.14110.1038/nenergy.2016.141 ↗
2. 10.1038/natrevmats.2016.10310.1038/natrevmats.2016.103 ↗
3. 10.1021/acs.chemmater.7b0093110.1021/acs.chemmater.7b00931 ↗
4. 10.1038/nmat306610.1038/nmat3066 ↗
5. 10.1021/acs.chemmater.5b0408210.1021/acs.chemmater.5b04082 ↗
6. 10.1021/acs.chemmater.6b0061010.1021/acs.chemmater.6b00610 ↗
7. 10.1021/cr020731c10.1021/cr020731c ↗
8. 10.1149/1.139321810.1149/1.1393218 ↗
9. 10.1021/acs.jpcc.9b1065010.1021/acs.jpcc.9b10650 ↗
10. 10.1039/C7EE03364H10.1039/C7EE03364H ↗
11. Levasseur A. · C. R. Seances Acad. Sci., Ser. 2 · 1981 · 293 · 563
12. 10.1016/0025-5408(83)90080-610.1016/0025-5408(83)90080-6 ↗
13. 10.1016/j.ssi.2004.02.02710.1016/j.ssi.2004.02.027 ↗
14. 10.1016/j.ssi.2009.03.02210.1016/j.ssi.2009.03.022 ↗
15. 10.1002/(SICI)1521-3757(19981204)110:23<3396::AID-ANGE3396>3.0.CO;2-S10.1002/(SICI)1521-3757(19981204)110:23<3396::AID-ANGE3396>3.0.CO;2-S ↗
16. 10.1016/0167-2738(93)90040-A10.1016/0167-2738(93)90040-A ↗
17. 10.1016/0167-2738(90)90479-B10.1016/0167-2738(90)90479-B ↗
18. 10.1002/zaac.1993619021210.1002/zaac.19936190212 ↗
19. 10.1002/zaac.1995621080910.1002/zaac.19956210809 ↗
20. Vinatier P. · Phys. Chem. Glas. · 2003 · 44 · 135
21. Persson, K. Materials Data on Li5B7S13 (SG:9) by Materials Project, 2014.
22. Persson, K. Materials Data on Li2B2S5 (SG:63) by Materials Project, 2016.
23. Persson, K. Materials Data on Li3BS3 (SG:62) by Materials Project, 2014.
24. 10.1002/zaac.1996622091210.1002/zaac.19966220912 ↗
25. 10.1039/C6EE02697D10.1039/C6EE02697D ↗
26. 10.1021/acs.chemmater.8b0327210.1021/acs.chemmater.8b03272 ↗
27. 10.1103/PhysRevLett.77.386510.1103/PhysRevLett.77.3865 ↗
28. 10.1103/PhysRevB.50.1795310.1103/PhysRevB.50.17953 ↗
29. 10.1021/cm203303y10.1021/cm203303y ↗
30. 10.1038/s41524-018-0074-y10.1038/s41524-018-0074-y ↗
31. 10.1103/PhysRevLett.105.19640310.1103/PhysRevLett.105.196403 ↗
32. 10.1063/1.156406010.1063/1.1564060 ↗
33. 10.1039/C2EE23355J10.1039/C2EE23355J ↗
34. 10.1021/cm200679y10.1021/cm200679y ↗
35. 10.1016/j.commatsci.2012.02.00510.1016/j.commatsci.2012.02.005 ↗
36. 10.1016/j.commatsci.2010.05.01010.1016/j.commatsci.2010.05.010 ↗
37. 10.1016/j.elecom.2010.01.01010.1016/j.elecom.2010.01.010 ↗
38. 10.1021/cm702327g10.1021/cm702327g ↗
39. Barin I. · 2008
40. Gibbs J. W. · 1874 · 3 · 108
41. 10.1016/j.gee.2016.04.00610.1016/j.gee.2016.04.006 ↗
42. 10.1016/j.commatsci.2015.02.05010.1016/j.commatsci.2015.02.050 ↗
43. 10.1149/2.045309jes10.1149/2.045309jes ↗
44. 10.1103/PhysRevLett.117.08550110.1103/PhysRevLett.117.085501 ↗
45. 10.1021/cr300356t10.1021/cr300356t ↗
46. 10.1002/anie.20140916910.1002/anie.201409169 ↗
47. Persson K. · 2016
48. 10.1016/j.joule.2017.08.00710.1016/j.joule.2017.08.007 ↗
49. 10.1021/acs.jpclett.5b0181410.1021/acs.jpclett.5b01814 ↗
50. Integration and Optimization of Novel Ion Conducting Solids (IONICS); Funding Opportunity Annoucement; ARPA-E, 2016.
51. 10.1103/PhysRevB.54.1116910.1103/PhysRevB.54.11169 ↗
52. 10.1063/1.481232310.1063/1.4812323 ↗
53. 10.1016/j.commatsci.2012.10.02810.1016/j.commatsci.2012.10.028 ↗
54. 10.1016/j.commatsci.2011.02.02310.1016/j.commatsci.2011.02.023 ↗
55. 10.1016/j.commatsci.2005.04.01010.1016/j.commatsci.2005.04.010 ↗
56. 10.1002/jcc.2057510.1002/jcc.20575 ↗
57. 10.1088/0953-8984/21/8/08420410.1088/0953-8984/21/8/084204 ↗
58. 10.1063/1.355371610.1063/1.3553716 ↗
59. 10.1016/0020-0190(72)90045-210.1016/0020-0190(72)90045-2 ↗
60. 10.1021/ja907249p10.1021/ja907249p ↗
61. 10.1016/0167-2738(84)90097-310.1016/0167-2738(84)90097-3 ↗
62. 10.1021/ja305709z10.1021/ja305709z ↗
63. 10.1016/0025-5408(81)90142-210.1016/0025-5408(81)90142-2 ↗
64. 10.1039/C0EE00052C10.1039/C0EE00052C ↗
65. 10.1002/anie.20070114410.1002/anie.200701144 ↗