Nonphysical Sampling Distributions in Monte Carlo Free-Energy Estimation: Umbrella Sampling
Summary of Torrie and Valleau's 1977 paper that introduces Umbrella Sampling, a powerful and general importance sampling technique for overcoming the …
12 posts tagged with computational-chemistry.
Summary of Torrie and Valleau's 1977 paper that introduces Umbrella Sampling, a powerful and general importance sampling technique for overcoming the …
Summary of Lennard-Jones's 1932 paper introducing a potential energy surface model to unify physical and chemical adsorption, explaining the concept …
Summary of Henze and Blair's seminal 1931 JACS paper introducing a recursive method for calculating the number of structural isomers of alkanes, …
A comprehensive dataset card for the MoleculAR Conformer Ensemble Learning (MARCEL) benchmark - the first comprehensive benchmark for learning from …
A dataset card for the Generated Database 13 (GDB-13), a database of nearly 1 billion small organic molecules for virtual screening and drug …
A comprehensive dataset card for the Geometric Ensemble Of Molecules (GEOM) dataset - 37 million energy-annotated molecular conformations for machine …
A summary of the 2009 JACS paper by Blum and Reymond introducing the GDB-13 database, an enumeration of nearly one billion druglike small molecules …
Learn how GEOM transforms 2D molecular graphs into dynamic 3D conformer ensembles for molecular machine learning applications.
Analysis of molecular shape recognition: using supervised learning to test if labels can reveal patterns in Coulomb matrix eigenvalues.
Unsupervised clustering analysis shows why Coulomb matrix eigenvalues struggle with larger alkanes—with separability metrics.
Explore molecular shape recognition using Coulomb matrix eigenvalues. Analysis of alkane isomers from data generation to classification limits.
Learn about Coulomb matrices for molecular ML: understand how they encode 3D structure, why they're rotation-invariant, and their practical …