Transferable Coarse Graining via Contrastive Learning of Graph Neural Networks
The paper develops a transferable coarse-grained force field using graph neural networks trained on atomistic simulation data, achieving accurate solvation free energy estimations and reasonable transferability.
bioRxiv · Sep 8, 2023Biophysics