2026
GFFMERGE: Efficient Merging of Graph Neural Force Fields and Beyond
ICML 2026poster
Graph Neural Networks (GNNs) have revolutionized Neural Force Fields for atomistic simulations, achieving near-quantum accuracy at reduced cost, yet adapting these models to new chemical systems requires expensive retraining of foundation models. Inspired by model merging in vision and language proc…