Molecular dynamics;Neural network potential;Graph Neural Network;Neural ODE;Coarse-graining;Dynamics
ACHIEVING DYNAMIC ACCURACY IN MACHINE-LEARNED CG POTENTIALS BY MODULATING POTENTIAL ENERGY LANDSCAPE