Franco Pellegrini

Enhanced Generalization through Atomic Embeddings and Cross-Element Parameterization

The limited transferability of machine-learned interatomic potentials (MLIPs) to unseen chemical compositions constrains their utility in computational materials discovery. We present a systematic investigation into two interdependent design principles─learned atomic representations and cross-element parameterization...