TriForces: Augmenting Atomistic GNNs for Transferable Representations
DGX agentarXiv:2605.20581v1 Announce Type: new Abstract: Machine learning interatomic potentials (MLIPs) achieve excellent accuracy when trained on large Density Functional Theory (DFT) data. To be useful in p