Transferable Molecular Charge Assignment Using Deep Neural Networks

Ben Nebgen, Nick Lubbers, Justin S. Smith +6

We use HIP-NN, a neural network architecture that excels at predicting molecular energies, to predict atomic charges. The charge predictions are accurate over a wide range of molec…