Breakthroughs in atomistic neural network representations for chemical dynamics simulations
A team led by Prof. Jiang Bin from the University of Science and Technology of China (USTC) made a series of breakthroughs in chemical dynamics simulations of molecular, condensed phase and interfacial systems by applying an atomistic neural network (AtNN). A review of their works was published in WIREs Computational Molecular Science on November 16th.