A Systematic Theoretical Study on the Structure-Property Relationships of Fluorinated Linear Carbonates Based on Molecular Simulation and Machine Learning

Abstract

Electrolyte engineering utilizing fluorinated linear carbonates (DMC, EMC, and DEC) holds immense promise for high-voltage lithium metal batteries. Despite extensive research, a systematic understanding of how fluorination patterns precisely dictate electrolyte performance remains elusive. In this study, by integrating quantum chemical calculations with machine learning, we developed a multi-dimensional descriptor framework incorporating fluorination counts at specific sites (α and β), molecular symmetry, and carbon chain length. Interpretability analysis reveals that redox potentials are primarily governed by α-site fluorination, modulated by the interplay of inductive and conjugation effects, while the electrochemical stability window is highly sensitive to the asymmetry of α-site substitution. The coordination capability between lithium ions and carbonyl oxygen generally diminishes with increased fluorination, primarily driven by β-site substitutions, which evolve the coordination environment from a traditional single-carbonyl-oxygen interaction into a multi-site synergistic system. Furthermore, the molecular dipole moment exhibits an initial increase followed by a decrease with fluorination, reflecting the evolution of molecular symmetry from disruption to partial restoration. Notably, surface electrostatic potential extrema are most significantly influenced by the degree of β-site fluorination. By synergistically tuning the fluorination degree and symmetry across these sites, the desolvation energy barrier and film-forming capability can be effectively balanced to facilitate the formation of stable, LiF-rich SEI films and enhance high-voltage oxidative stability. This work elucidates the regulatory mechanisms of fluorination strategies in linear carbonates, providing essential design principles and screening guidance for the rational molecular engineering of advanced solvents and additives for high-performance lithium metal batteries.

Supplementary files

Article information

Article type
Paper
Submitted
24 Mar 2026
Accepted
05 Jun 2026
First published
05 Jun 2026

J. Mater. Chem. A, 2026, Accepted Manuscript

A Systematic Theoretical Study on the Structure-Property Relationships of Fluorinated Linear Carbonates Based on Molecular Simulation and Machine Learning

H. He, W. Lin, Y. Chen, Y. Deng, Z. Xiong, D. Zhou, P. Lin, Y. Tao, R. Xia, E. Zhang, J. Chen, Y. Xu, X. Liu, Y. Liao, Y. Ying, Q. Ru and J. Li, J. Mater. Chem. A, 2026, Accepted Manuscript , DOI: 10.1039/D6TA02519F

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