Using machine learning to analyze crystallization dynamics
Using machine learned force fields to speed-up molecular dynamics runs
The effect of an applied electric field on reconstruction in prototype structures of Interfacial Phase-Change is explored using ab-initio molecular dynamics and density-functional theory
ab-initio calculations of material properties, structure, and dynamics.