V. Ionas

Improved Learning of Molecular Energetics Through an Electron-Wise Joint Charge Density and Energy Objective

We present a graph neural network-based learning framework trained to jointly predict electron densities and molecular energies. The model is trained to predict electron densities calculated with a Generalized Gradient Approximation (GGA) functional while simultaneously learning to predict molecular energies obtained w...