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Machine learning-assisted benign transformation of three zinc states in zinc ion batteries

Jianbo Dong, Guolang Zhou, Wenhao Ding, Jiayi Ji, Qing Wang, Tianshi Wang, Lili Zhang, Xiuyang Zou, Jingzhou Yin, Edison Huixiang Ang

2025Energy & Environmental Science35 citationsDOIOpen Access PDF

Abstract

A machine-learning-designed cerium-iron MOF layer enhances Zn anode stability, achieving over 4300 hours at 1 mA cm −2 and 99.8% coulombic efficiency over 1400 cycles at 2 mA cm −2 , providing a cost-effective protective strategy.

Topics & Concepts

ZincTransformation (genetics)Materials scienceComputer scienceProcess engineeringChemistryArtificial intelligenceMetallurgyEngineeringBiochemistryGeneAdvanced battery technologies researchElectrochemical Analysis and ApplicationsAdvanced Battery Technologies Research
Machine learning-assisted benign transformation of three zinc states in zinc ion batteries | Litcius