近日，电子科技大学基础与前沿研究院王斌教授、刘芯言特聘研究员和光电科学与工程学院程建丽教授提出一种基于机器学习辅助的过渡金属化合物（TMCs）筛选方法，用于快速发现适用于Li-CO2与Li-Air电池的高效催化剂。相关论文以“Iterative Machine Learning-Guided Discovery of Transition Metal Compounds as Catalysts ...
Source Link近日，电子科技大学基础与前沿研究院王斌教授、刘芯言特聘研究员和光电科学与工程学院程建丽教授提出一种基于机器学习辅助的过渡金属化合物（TMCs）筛选方法，用于快速发现适用于Li-CO2与Li-Air电池的高效催化剂。相关论文以“Iterative Machine Learning-Guided Discovery of Transition Metal Compounds as Catalysts ...
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