Electrostatic embedding machine learning for ground and excited state molecular dynamics of solvated molecules

Abstract

The application of quantum mechanics (QM) / molecular mechanics (MM) models for studying dynamics in complex systems is nowadays well established. However, their significant limitation is the high computational cost,...