Huanhuan Li

Machine learning force fields for inorganic crystalline materials: principles, advances, and emerging applications.

Machine learning force fields (MLFFs) combine the high accuracy of first-principles methods with the high efficiency of classical force fields, offering new opportunities for atomic-level studies of inorganic crystalline materials. We systematically summarize the research progress on MLFFs, elucidate their fundamental...