Kryptovaluta-ticker:
technology fra Arxiv cs.ai

GFFMERGE: Efficient Merging of Graph Neural Force Fields and Beyond

Parth Verma, Parv P. Singh, Vipul Garg, Ishita Thakre, N. M. Anoop Krishnan, Sayan Ranu
Jun 3, 2026 at 04:00
8 Visninger
0 Kommentarer

arXiv:2606.03232v1 Announce Type: cross Abstract: 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...

Les hele artikkelen hos kilden.

Var dette nyttig?
Del:

Kommentarer (0)

Vennligst logg inn for å skrive en kommentar

Ingen kommentarer ennå. Bli den første til å kommentere!