Computational Chemistry
Muller-Brown potential energy surface

Müller-Brown Basin MA: Langevin Dynamics Simulation

Langevin dynamics simulation showing particle motion in the deep reactant minimum (Basin MA) of the Müller-Brown …

Computational Chemistry
Muller-Brown potential energy surface

Müller-Brown Basin MB: Langevin Dynamics Simulation

Langevin dynamics simulation showing particle motion in the product minimum (Basin MB) of the Müller-Brown potential …

Computational Chemistry
Müller-Brown Potential Energy Surface showing the three minima and two saddle points

Müller-Brown Potential: A PyTorch ML Testbed

GPU-accelerated PyTorch framework for the Müller-Brown potential with JIT compilation, Langevin dynamics, and …

Computational Chemistry
Muller-Brown potential energy surface

Müller-Brown Transition: Langevin Dynamics Simulation

Extended Langevin dynamics simulation showing particle transitions between different basins of the Müller-Brown …

Computational Chemistry
Potential energy surface showing molecular conformation space with equilibrium and low energy conformations

DenoiseVAE: Adaptive Noise for Molecular Pre-training

Liu et al.'s ICLR 2025 paper introducing DenoiseVAE, which learns adaptive, atom-specific noise for better molecular …

Computational Chemistry
Atomic structure of a spherical fullerene

Dark Side of Forces: Non-Conservative ML Force Models

Bigi et al. critique non-conservative force models in ML potentials, showing their simulation failures and proposing …

Computational Chemistry
Atomic structure of a spherical fullerene

Learning Smooth Interatomic Potentials with eSEN

Fu et al. propose energy conservation as a key MLIP diagnostic and introduce eSEN, bridging test accuracy and real …

Computational Chemistry
Radial distribution function of liquid argon

Liquid Argon: LAMMPS Simulation

LAMMPS molecular dynamics simulation of liquid argon demonstrating fundamental liquid-state behavior and molecular …

Scientific Computing
Velocity Autocorrelation Function showing the signature negative region characteristic of liquid dynamics and the cage effect discovered by Rahman

Modernizing Rahman''s 1964 Argon Simulation

A high-fidelity replication of foundational molecular dynamics using modern software engineering practices: caching, …

Scientific Computing
Velocity Autocorrelation Function showing the signature negative region characteristic of liquid dynamics

Modernizing Rahman's 1964 Argon Simulation

How I used modern software engineering (caching, vectorization, and dependency locking) to reproduce a 60-year-old …

Computational Chemistry
Embedding energy and effective charge functions for Ni and Pd from the original EAM paper

Embedded-Atom Method: Impurities and Defects in Metals

Daw and Baskes's foundational 1984 paper introducing the Embedded-Atom Method (EAM), a many-body potential for metal …

Computational Chemistry
Protein folding funnel diagram illustrating energy landscape

Umbrella Sampling: Monte Carlo Free-Energy Estimation

Torrie and Valleau's 1977 paper introducing Umbrella Sampling, an importance sampling technique for Monte Carlo …