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Author

Chenglong Wang

2 papers indexed here

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Oct 2026

Accelerated Electrolyte Engineering by Deep Learning: A Quaternary Ammonium Additive Enables Ultra-Stable Zinc Anodes

Currently, achieving long-cycling zinc anodes for aqueous zinc-ion energy storage devices remains a challenge owing to uncontrolled dendritic growth and concurrent hydrogen evolution reaction (HER). Electrolyte engineering via molecular additives has emerged as an effective strategy for modulating zinc anode interfac...

Yao-Yu Chen, Zhi-Jie Xu, Jia-Xuan Wang et al. · 0 citations
Open access Jul 2026

A Quantitative Electrostatic Potential Descriptor Enables Deep Learning-Accelerated Discovery of High-Performance Lithium-Ion Battery Electrolytes.

Rational electrolyte design for high-energy-density lithium-ion batteries (LIBs) urgently demands precise and quantitative molecular descriptors of solvation power to enable deep learning (DL)-accelerated screening, yet such descriptors remain lacking. Here, we introduce the electrostatic potential ratio |ESPmin|/ESPma...

Kun Han, Yu Lou, Jun-Feng Li et al. · 1 citation

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