Integration of experimental insights and computational modeling for all-solid-state batteries

Shivam Kansara; Om Trivedi; Seungwon Lee; Rutva Maheta; Hyeona Park; Shizhao Xiong; Dominic Bresser; Dan Zhou; Sanjeev K. Gupta; P. N. Gajjar; Jang-Yeon Hwang

doi:10.1039/d6ta02406h

January 1, 2026Journal of Materials Chemistry A

Integration of experimental insights and computational modeling for all-solid-state batteries

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Key Points

This review aims to address the challenges preventing the effective adoption of all-solid-state batteries, focusing on material and structural issues.
Reviewed literature on material performance and structural degradation in all-solid-state batteries.
Analyzed various computational models to understand degradation mechanisms at different length scales.
Integrated experimental findings with modeling results to propose solutions for improved battery performance.
Identified key factors affecting the performance and longevity of all-solid-state batteries.
Proposed integrative modeling approaches to enhance understanding of battery degradation.
Highlighted potential techniques to improve material choices and battery designs.

Implication

Review highlights material performance and structural issues in all-solid-state batteries, suggesting solutions for improved deployment.

Abstract

All-solid-state batteries (ASSBs) promise superior safety, energy density, and cycle life, but their deployment is hindered by material performance and structural degradation at multiple length scales. This review focuses on...

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Cite This Study

Kansara et al. (2026) studied this question.

synapsesocial.com/papers/6a34e06865a5b0777af2f094 https://doi.org/10.1039/d6ta02406h

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Integration of experimental insights and computational modeling for all-solid-state batteries

Key Points

Implication

Abstract

Discussion

Cite This Study

Integration of experimental insights and computational modeling for all-solid-state batteries

Key Points

Implication

Abstract

Discussion

Cite This Study

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