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Knowledge-driven design of solid-electrolyte interphases on lithium metal via multiscale modelling

Author

Listed:
  • Janika Wagner-Henke

    (Karlsruhe Institute of Technology)

  • Dacheng Kuai

    (Texas A&M University
    Texas A&M University)

  • Michail Gerasimov

    (Karlsruhe Institute of Technology)

  • Fridolin Röder

    (University of Bayreuth)

  • Perla B. Balbuena

    (Texas A&M University
    Texas A&M University
    Texas A&M University)

  • Ulrike Krewer

    (Karlsruhe Institute of Technology)

Abstract

Due to its high energy density, lithium metal is a promising electrode for future energy storage. However, its practical capacity, cyclability and safety heavily depend on controlling its reactivity in contact with liquid electrolytes, which leads to the formation of a solid electrolyte interphase (SEI). In particular, there is a lack of fundamental mechanistic understanding of how the electrolyte composition impacts the SEI formation and its governing processes. Here, we present an in-depth model-based analysis of the initial SEI formation on lithium metal in a carbonate-based electrolyte. Thereby we reach for significantly larger length and time scales than comparable molecular dynamic studies. Our multiscale kinetic Monte Carlo/continuum model shows a layered, mostly inorganic SEI consisting of LiF on top of Li2CO3 and Li after 1 µs. Its formation is traced back to a complex interplay of various electrolyte and salt decomposition processes. We further reveal that low local Li+ concentrations result in a more mosaic-like, partly organic SEI and that a faster passivation of the lithium metal surface can be achieved by increasing the salt concentration. Based on this we suggest design strategies for SEI on lithium metal and make an important step towards knowledge-driven SEI engineering.

Suggested Citation

  • Janika Wagner-Henke & Dacheng Kuai & Michail Gerasimov & Fridolin Röder & Perla B. Balbuena & Ulrike Krewer, 2023. "Knowledge-driven design of solid-electrolyte interphases on lithium metal via multiscale modelling," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-42212-7
    DOI: 10.1038/s41467-023-42212-7
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