most citedHEroBM: a deep equivariant graph neural network for universal backmapping from coarse-grained to all-atom representations

4 citations · 4 across the 3 of their papers we have counts for

collaborators
Showing physics.chem-phShow all

1 paper · 1 filter

physics.chem-ph2024★ 4 cited

HEroBM: a deep equivariant graph neural network for universal backmapping from coarse-grained to all-atom representations

Daniele Angioletti, Stefano Raniolo, Vittorio Limongelli

Molecular simulations have assumed a paramount role in the fields of chemistry, biology, and material sciences, being able to capture the intricate dynamic properties of systems. W…