Understanding the dielectric relaxation of liquid water using neural network potential and classical pairwise potential

Molecular dynamics, which follows molecular motion over time, compares one quantum-trained neural-network model with one pairwise model for liquid water. In this comparison, the quantum-trained model more closely reproduces the frequency-dependent electrical response and associates the additional high-frequency signal with coupled hydrogen-bond motion.