
MolParser: End-to-End Molecular Structure Recognition
MolParser converts molecular images from scientific documents to machine-readable formats using end-to-end learning with …

MolParser converts molecular images from scientific documents to machine-readable formats using end-to-end learning with …

ZINC-22 dataset provides 37+ billion make-on-demand molecules for virtual screening and modern drug discovery.

Visualize SELFIES molecular representations and test their 100% robustness through random sampling experiments.

Learn how to create 2D molecular images from SMILES strings using RDKit and PIL, with proper formatting and legends.

SELFIES is a 100% robust molecular string representation for ML, implemented in the open-source selfies Python library.

MARCEL dataset provides 722K+ conformers across 76K+ molecules for drug discovery, catalysis, and molecular …

SMILES (Simplified Molecular Input Line Entry System) represents chemical structures using compact ASCII strings.

Henze and Blair's 1931 JACS paper deriving exact recursive formulas for counting constitutional alkane isomers.

Dataset card for GEOM, providing energy-annotated molecular conformations generated via CREST/xTB and refined with DFT …

GDB-11 systematically enumerates 26.4M small organic molecules (up to 11 atoms of C, N, O, F) for virtual screening and …

Luo et al. introduce SPHNet, using adaptive sparsity to dramatically improve SE(3)-equivariant Hamiltonian prediction …

Lennard-Jones's 1932 foundational paper introducing potential energy surface models to unify physical and chemical …