Improving the reliability of classical molecular dynamics simulations in battery electrolyte design

Combining restrained electrostatic potential (RESP) charges with a low-cost Drude polarization model enhances the accuracy of electrolyte solvation structure simulations. Explorations into new electrolytes have highlighted the critical impact of solvation structure on battery performance. Classical molecular dynamics (CMD) using semi-empirical force fields has become an essential tool for simulating solvation structures. However, mainstream force fields often lack accuracy in describing strong ion-solvent interactions, causing disparities between CMD simulations and experimental observations. Although some empirical methods have been employed in some of the studies to address this issue, their effectiveness has been limited. Our CMD research, supported by quantum chemical calculations and experimental data, reveals that the solvation structure is influenced not only by the charge model but also by the polarization description. Previous empirical approaches that focused solely on adjusting ion-solvent interaction strengths overlooked the importance of polarization effects. Building on this insight, we propose integrating the Drude polarization model into mainstream force fields and verify its feasibility in carbonate, ether, and nitrile electrolytes. Our experimental results demonstrate that this approach significantly enhances the accuracy of CMD-simulated solvation structures. This work is expected to provide a more reliable CMD method for electrolyte design, shielding researchers from the pitfalls of erroneous simulation outcomes.

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Publication Details

Journal
Journal of Energy Chemistry
Published
2024-09-30
DOI
https://doi.org/10.1016/j.jechem.2024.09.038
Citations
12
Primary Topic
Advanced Battery Materials and Technologies
Type
article
Field-Weighted Citation Impact
2.50
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article

Improving the reliability of classical molecular dynamics simulations in battery electrolyte design

Kai Jiang, Min Zhou, Ruxing Wang, Haomiao Li et al.
12 citations
Journal of Energy Chemistry
Advanced Battery Materials and Technologies
2.50
article

Improving the reliability of classical molecular dynamics simulations in battery electrolyte design

Kai Jiang, Min Zhou, Ruxing Wang, Haomiao Li, Yujie Zhang, Kangli Wang, Xin He, Wei Wang
article en
12 citations

Abstract

Combining restrained electrostatic potential (RESP) charges with a low-cost Drude polarization model enhances the accuracy of electrolyte solvation structure simulations. Explorations into new electrolytes have highlighted the critical impact of solvation structure on battery performance. Classical molecular dynamics (CMD) using semi-empirical force fields has become an essential tool for simulating solvation structures. However, mainstream force fields often lack accuracy in describing strong ion-solvent interactions, causing disparities between CMD simulations and experimental observations. Although some empirical methods have been employed in some of the studies to address this issue, their effectiveness has been limited. Our CMD research, supported by quantum chemical calculations and experimental data, reveals that the solvation structure is influenced not only by the charge model but also by the polarization description. Previous empirical approaches that focused solely on adjusting ion-solvent interaction strengths overlooked the importance of polarization effects. Building on this insight, we propose integrating the Drude polarization model into mainstream force fields and verify its feasibility in carbonate, ether, and nitrile electrolytes. Our experimental results demonstrate that this approach significantly enhances the accuracy of CMD-simulated solvation structures. This work is expected to provide a more reliable CMD method for electrolyte design, shielding researchers from the pitfalls of erroneous simulation outcomes.

Journal of Energy ChemistryVol. 101
Huazhong University of Science and Technology (CN), Hubei University of Technology (CN)
Affordable and clean energy
Openalex Percentile: Top 10%
Advanced Battery Materials and Technologies
2.50
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