A deep learning package for many-body potential energy representation and molecular dynamics

Graphics Processing Units Molecular Dynamics

AI-enhanced computational chemistry

GPU Monte Carlo Simulation Code with a taste of RASPA

GUI for running simulations with universal MLIPs (MACE, CHGNet, SevenNet, Nequix, ORB, Allegro, MatterSim, UPET, GRACE)

Genarris is a random molecular crystal structure generator.

Meta's UMA and Orbital Materials' Orb-v3/OrbMol interatomic potential models, running on Tenstorrent hardware.

Useful scripts in Computaional Material Science.

Accelerating Metadynamics-Based Free-Energy Calculations with Adaptive Machine Learning Potentials

Endstate corrections from MM to QML potential

A lightweight Snakemake-based workflow that implements the DP-GEN scheme.

Collection of tools/codes/data used in the article D4DD00265B

Machine learning interatomic potentials and their application to lithium batteries (seminar talk in Spanish).

A minimal package for providing pretrained machine learning force fields (e.g. multi-fidelity M3GNet) for material simulations.

Companion code for Catal. Lett. 156(9) 2026: DFT → DeepMD → uncertainty-guided Bayesian optimization for SCR catalyst screening (9,726 DFT configurations, energy R² = 0.995, force R² = 0.963)

Physics bachelor's thesis project focused on testing the physical adequacy and physical foundations of MLIPs in the context of molecular simulations.

Reproducible CHGNet relaxation-energy pilot on Materials Project LLZO structures

Generative inverse design of Li–P–S solid-electrolyte candidates: MatterGen → self-consistent MLIP stability screen (S.U.N.) → conductivity ranking. Concept validation.

A lightweight agent-callable workflow prototype for AI4Materials simulation analysis.

Code for term project of Molecular Data Science & Informatics (CH5650) course taken at IIT Madras during Jan-May 2022