Journal of Shanghai University(Natural Science Edition) ›› 2024, Vol. 30 ›› Issue (5): 802-812.doi: 10.12066/j.issn.1007-2861.2603

Previous Articles     Next Articles

Development and application of classical and machine learning interatomic potential

ZHAO Haoran1 , SHEN Qiang2 , WANG Peng2   

  1. 1. Materials Genome Institute, Shanghai University, Shanghai 200444, China; 2. School of Mechanics and Engineering Science, Shanghai University, Shanghai 200444, China
  • Online:2024-10-30 Published:2024-11-07

Abstract: This study reviewed the history of several classical and machine learning (ML) potential functions and focused on the recent developments and applications of these potential functions in metal and covalent-bond materials. A comprehensive analysis of the advantages and disadvantages of ML and traditional potential functions was provided and a perspective on the development of more effective interatomic potentials was offered.

Key words: molecular dynamics (MD), interatomic potential, machine learning (ML); deformation mechanism

CLC Number: