Extensible Structure-Informed Prediction of Formation Energy with Improved Accuracy and Usability employing Neural Networks

Adam M. Krajewski, Jonathan W. Siegel, Jinchao Xu +1

In the present paper, we introduce a new neural network-based tool for the prediction of formation energies of atomic structures based on elemental and structural features of Voron…