A Data-driven Interpretable Method to Predict Capacities of Metal ion Doped TiO2 Anode Materials for Lithium-ion Batteries Using Machine Learning Classifiers

Mingxi Jiang,Yajuan Zhang, Zihao Yang,Haibo Li,Jinliang Li,Jiabao Li, Tao Lü,Chenglong Wang,Guang Yang, Lina Pan

Inorganic chemistry frontiers（2023）

引用 0|浏览1

暂无评分

摘要

Machine learning classifier models were built with the datasets of different ions doped into TiO 2 materials to predict their charging and discharging performance.

查看译文

关键词

machine learning,tio2,anode materials,data-driven,lithium-ion

AI 理解论文

溯源树

样例

生成溯源树，研究论文发展脉络

Chat Paper

正在生成论文摘要