自行车
理论(学习稳定性)
阴极
计算机科学
材料科学
人工智能
机器学习
工程类
地理
电气工程
考古
作者
Cheng Wei,Z. Cui,Haokun Li,Jingyuan Guo,Linzhuang Xing,Yihang Li,Hongyu Yang,Zhimin Li,Yue Hao
摘要
An efficient and transparent machine learning model is proposed and verified for predicting manganese-based cathode materials with high cycling stability.
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