Machine learning-accelerated exploration on element doping-triggering material performance improvement for energy conversion and storage applications
Hao Wang, Yue Zhu, Jinliang Li, Xinjuan Liu, Yongchao Ma, Ye‐Feng Yao, Jie Zhang, Likun Pan
Abstract
The prediction performances of machine learning in the field of element-doped materials for energy conversion and storage applications are summarized.
Topics & Concepts
DopingElement (criminal law)Materials scienceEnergy storageComputer scienceProcess engineeringEngineeringOptoelectronicsPhysicsLawQuantum mechanicsPolitical sciencePower (physics)Machine Learning in Materials ScienceAdvancements in Battery MaterialsFuel Cells and Related Materials