TriForces: Augmenting Atomistic GNNs for Transferable Representations

Ali Ramlaoui, Alexandre Duval, Hannah Bull +4

Machine learning interatomic potentials (MLIPs) achieve excellent accuracy when trained on large Density Functional Theory (DFT) data. To be useful in practice, they must often be…