Galvanic corrosion underlies coulombic efficiency differences in high-performing lithium metal battery electrolytes
Machine learning algorithms are combined with experimental methods to reveal galvanic corrosion as a key factor influencing efficiency in high-performing lithium-metal battery electrolytes.
Authors
- Solomon T. Oyakhire (ORCID: https://orcid.org/0000-0002-3189-5949)
- Stacey F. Bent (ORCID: https://orcid.org/0000-0002-1084-5336)
- Sang Cheol Kim (ORCID: https://orcid.org/0000-0002-1749-8277)
- Sanzeeda Baig Shuchi (ORCID: https://orcid.org/0000-0001-9802-223X)
- Wenbo Zhang (ORCID: https://orcid.org/0000-0001-6168-9786)
- Yi Cui (ORCID: https://orcid.org/0000-0001-8219-1856)
Institutions
- SLAC National Accelerator Laboratory (US)
- University of California, Berkeley (US)
- Stanford University (US)
Publication Details
- Journal
- Energy & Environmental Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1039/d5ee00071h
- Citations
- 9
- Primary Topic
- Advancements in Battery Materials
- Type
- article
- Field-Weighted Citation Impact
- 6.57