Exclusive Neural Network Representation of the Quasi-Diabatic Hamiltonians Including Conical Intersections.

We propose a numerically simple and straightforward, yet accurate and efficient neural networks-based fitting strategy to construct coupled potential energy surfaces (PESs) in a quasi-diabatic repr...