Molecular Dynamics Simulations are grounded in classical mechanics, particularly Newton’s laws of motion, to predict how particles move within a system. The force acting on each atom is calculated ...
Machine learning is rapidly transforming molecular dynamics simulations by enabling the construction of highly accurate interatomic potentials derived from high‐level quantum calculations. This ...
This chapter highlights some of the most prominent research challenges from theoretical/computational chemistry that appear to be amenable to attack with the help of ...