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Yu-Quan Li

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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
#explainable ai Review Sep 2026

A Data‐to‐Interface Framework for AI‐Guided Sodium‐Ion Battery Materials Discovery: From Descriptors to Full‐Cell Decisions

A sodium‐specific minimum reporting profile for uncertainty‐aware, descriptor‐driven, and interface‐validated decision‐making is proposed for sodium‐specific minimum reporting profile for uncertainty‐aware, descriptor‐driven, and interface‐validated decision‐making.

Gang Chen, Hong-Yang Zhao, Jun-Feng Li et al. · 0 citations
Review Sep 2026

Machine Learning-Accelerated Advancements in Electrocatalytic CO2 Reduction

This review summarizes the latest applications of ML in CO2RR technology, focusing on ML applications in catalyst performance prediction, key descriptor discovery, catalyst screening, mechanistic investigation, and optimization of synthesis parameters.

Hao Wang, Jun-Feng Li, Yu-Quan Li et al. · 0 citations

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