Enabling rational electrolyte design for lithium batteries through precise descriptors: progress and future perspectives

2024/12/16 by Baichuan Cui, Feng Xu · 1 voice
Materials Science · #Machine Learning in Materials Science

paper · doi:10.1039/d4ta07449a

openalex publication_date 2024/12/16 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/17

Abstract

The physicochemical properties accurately captured by the precise descriptors enable researchers to efficiently screen and identify optimal compounds for designing high-performance electrolytes for Li batteries.

Citations

• Review—Superconcentrated Electrolytes for Lithium Batteries
• Evolutionary History, Predation, and Coastal Upwelling Interactively Influence Native Oyster Habitat in Tomales Bay, California
• Molecular design for electrolyte solvents enabling energy-dense and long-cycling lithium metal batteries
• Intermolecular interaction characteristics of the all-carboatomic ring, cyclo[18]carbon: Focusing on molecular adsorption and stacking
• A comprehensive electron wavefunction analysis toolbox for chemists, Multiwfn

Discussions

• Check out the @JMaterChem A issue 12 back cover featuring a Review by Baichuan Cui and Jijian Xu titled Enabling rational electrolyte design for lithium batteries through precise descriptors: progress [bsky, 2 points, 0 comments]

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