A Generalized Approach for Incorporating Geometry and Directionality into Coarse-Grained Machine-Learned Potentials

Arthur Y. Lin, Tejas Dahiya, Rose K. Cersonsky

Machine-learned interatomic potentials have enabled highly accurate atomistic simulations, but extending these capabilities to coarse-grained systems remains challenging due to the…