
Müller-Brown Potential in PyTorch
PyTorch implementation of the Müller-Brown potential with performance optimizations, MD simulations, and analytical vs …...
PyTorch implementation of the Müller-Brown potential with performance optimizations, MD simulations, and analytical vs …...
Extended Langevin dynamics simulation showing particle transitions between different basins of the Müller-Brown …
Liu et al.'s ICLR 2025 paper introducing DenoiseVAE, which learns adaptive, atom-specific noise for better molecular …...
Lu et al. introduce SpaceFormer, a Transformer that models entire 3D molecular space—not just atoms—for superior …...
Luo et al. introduce SPHNet, using adaptive sparsity to dramatically improve SE(3)-equivariant Hamiltonian prediction …...
Fu et al. propose energy conservation as a key MLIP diagnostic and introduce eSEN, bridging test accuracy and real …...
LAMMPS molecular dynamics simulation of liquid argon demonstrating fundamental liquid-state behavior and molecular …
Bigi et al. critique non-conservative force models in ML potentials, showing their simulation failures and proposing …...
Daw and Baskes's foundational 1984 paper introducing the Embedded-Atom Method (EAM), a many-body potential for metal …...
Torrie and Valleau's 1977 paper introducing Umbrella Sampling, an importance sampling technique for Monte Carlo …...
Lennard-Jones's 1932 foundational paper introducing potential energy surface models to unify physical and chemical …...
A dataset card for the Generated Database 13 (GDB-13), a database of nearly 1 billion small organic molecules for …