Quantifying electronic insulation of solid-electrolyte interphases through electrolyte decomposition kinetics

The pursuit of high operating voltage and energy density of battery packs imposes stringent requirements on the electronic insulation of solid-electrolyte interphases (SEI) in rechargeable lithium-ion batteries. Owing to complicated kinetic processes, direct experimental characterization of electronic insulation poses challenges, whereas first-principles computations provide valuable access to underlying microscopic parameters. However, existing methods often yield conflicting evaluations by focusing solely on electronic transmission at specific parts of SEI/electrolyte interfaces, ignoring electrolyte decomposition kinetics. Herein, we develop a computational framework combining the Marcus electron transfer model and constrained density functional theory to predict the resistance to electrolyte decomposition ( R ED ), which quantifies how effectively the SEI suppresses decomposition. R ED unifies two key physical factors: electronic transmission across interfaces and reorganization energy associated with electrolyte decomposition, thereby enabling component‑resolved, electrolyte‑dependent evaluation of SEI electronic insulation. Applying the framework to idealized crystalline graphitic C(0001)|SEI | electrolyte interfaces, we find that electrolyte-dependent reorganization can substantially alter, and in some cases reverse, the insulation ranking inferred from electronic coupling alone, identifying reorganization as a key contributor to the comparatively high electronic insulation of Li 2 CO 3 in the systems examined. The present work establishes a proof-of-concept, component-resolved framework and a basis for future studies of structurally heterogeneous SEIs.

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Publication Details

Journal
npj Computational Materials
Published
2026-10-14
DOI
https://doi.org/10.1038/s41524-026-02362-w
Primary Topic
Advanced Battery Materials and Technologies
Type
article
Field-Weighted Citation Impact
0.00

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article

Quantifying electronic insulation of solid-electrolyte interphases through electrolyte decomposition kinetics

Siqi Shi, Sai Duan, Xin Xu, Yuan Fang et al.
npj Computational Materials
Advanced Battery Materials and Technologies
article

Quantifying electronic insulation of solid-electrolyte interphases through electrolyte decomposition kinetics

Siqi Shi, Sai Duan, Xin Xu, Yuan Fang, Yu Gu, Zhenyu Zhu
article en

Abstract

The pursuit of high operating voltage and energy density of battery packs imposes stringent requirements on the electronic insulation of solid-electrolyte interphases (SEI) in rechargeable lithium-ion batteries. Owing to complicated kinetic processes, direct experimental characterization of electronic insulation poses challenges, whereas first-principles computations provide valuable access to underlying microscopic parameters. However, existing methods often yield conflicting evaluations by focusing solely on electronic transmission at specific parts of SEI/electrolyte interfaces, ignoring electrolyte decomposition kinetics. Herein, we develop a computational framework combining the Marcus electron transfer model and constrained density functional theory to predict the resistance to electrolyte decomposition ( R ED ), which quantifies how effectively the SEI suppresses decomposition. R ED unifies two key physical factors: electronic transmission across interfaces and reorganization energy associated with electrolyte decomposition, thereby enabling component‑resolved, electrolyte‑dependent evaluation of SEI electronic insulation. Applying the framework to idealized crystalline graphitic C(0001)|SEI | electrolyte interfaces, we find that electrolyte-dependent reorganization can substantially alter, and in some cases reverse, the insulation ranking inferred from electronic coupling alone, identifying reorganization as a key contributor to the comparatively high electronic insulation of Li 2 CO 3 in the systems examined. The present work establishes a proof-of-concept, component-resolved framework and a basis for future studies of structurally heterogeneous SEIs.

npj Computational Materials
Shanghai University (CN), Xiamen University (CN), Central China Normal University (CN), Collaborative Innovation Center of Chemistry for Energy Materials (CN)
National Natural Science Foundation of China, Chinese Academy of Sciences, National Science and Technology Major Project, Fundamental Research Funds for the Central Universities
Openalex Percentile: Top 23%
Advanced Battery Materials and Technologies
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