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July 11, 2026Journal of Computational Chemistry

Lithium Surface Restructuring and Dendrite‐Like Protrusion Formation in Li‐S Electrolytes From Reactive Molecular Simulations With Machine‐Learned Potentials

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Authors

MMMirella Fonda MaahuryWaseda UniversitySSSabrina C. ShenJohns Hopkins UniversityKTKayvon TabriziMi Corporation (United States)

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Implication

Randomized trial uncovers lithium aggregation and morphology changes in Li-S electrolytes, indicating safety concerns.

Key Points

  • This study aims to understand the behaviors of lithium metal anodes at the atomic level, focusing on dendrite-like protrusion formation in Li-S electrolytes.
  • Conducted molecular dynamics simulations using machine-learned interatomic potentials to model lithium-electrolyte interfaces.
  • Utilized species detection and maximum protrusion height as part of the structural analysis.
  • Benchmarked simulations against density functional theory (DFT) for structural and energetic validations.
  • Simulations show early-stage dendrite-like protrusions influenced by electrolyte composition and interfacial reorganization.
  • The r2SCAN readout offers consistent structural and energetic agreement for lithium surface chemistry compared to B97X as a sensitivity test.
  • Results clarify limits of machine-learned interatomic potentials in explaining electrochemical processes.

Cite This Study

Maahury et al. (2026) studied this question.

synapsesocial.com/papers/6a51dd5ac18d7f28ca4fffeehttps://doi.org/10.1002/jcc.70466
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