A. Pausch

Can Machine Learning Predict Solvation Effects on Energies and Geometries of Highly Charged Molecules?

This work systematically investigates which model architectures and architectural components are required to predict solvation energies and corresponding forces for molecules with total charges ranging from −5 to +5, and shows that an explicit and robust treatment of molecular charge is essential for reliable performan...