DenoiseVAE: Learning Molecule-Adaptive Noise Distributions for Denoising-based 3D Molecular Pre-training
Liu et al.'s ICLR 2025 paper introducing DenoiseVAE, which learns adaptive, atom-specific noise for better molecular …...
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 …

Dataset card for GDB-17, containing 166 billion small organic molecules representing the largest enumerated chemical …

Learn how GEOM transforms 2D molecular graphs into dynamic 3D conformer ensembles for molecular machine learning …