UnderstandingMolecularSimulation / CaseStudies
☆21Updated last year
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- Learning neural network potentials from experimental data via Differentiable Trajectory Reweighting☆29Updated 6 months ago
- Deep Modeling for Molecular Simulation, two-day virtual workshop, July 7-8, 2022☆48Updated 2 years ago
- A simple Lennard-Jones molecular dynamics software☆24Updated 2 months ago
- This python code creates hybrid MD/MC (NAMD/GOMC) simulations for the NVT, NPT, GCMC, and GEMC-NVT ensembles☆32Updated last month
- Interactive Jupyter Notebooks for learning the fundamentals of Density-Functional Theory (DFT)☆54Updated 2 months ago
- MLP training for molecular systems☆29Updated 3 months ago
- Official implementation of DeepDFT model☆56Updated last year
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- Collection of Tutorials on Machine Learning Interatomic Potentials☆11Updated last month
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- Automated reaction discovery and dataset generation with the growing string method☆16Updated 4 years ago
- Equivariant GNN for the prediction of atomic multipoles up to quadrupoles.☆28Updated 2 years ago
- Machine learning exercises for the MolSim course (http://www.acmm.nl/molsim/molsim2023/index.html)☆23Updated 8 months ago
- ⚛ download and manipulate atomistic datasets☆38Updated this week
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- QM/MM Study Group☆13Updated 5 years ago
- an interface to semi-empirical quantum chemistry methods implemented with pytorch☆43Updated last week
- open data sets for machine learning pertaining to porous materials☆23Updated 9 months ago
- MACE-OFF23 models☆19Updated 5 months ago
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- helPME: an efficient library for particle mesh Ewald☆27Updated 2 years ago
- Moment Invariants Local Atomic Descriptor☆30Updated last month
- Automated workflow for generating quantum chemistry calculation of explicitly solvated molecules☆48Updated this week
- Bottom-up Open-source Coarse-graining Software☆15Updated last month
- JAX-ReaxFF: A Gradient Based Framework for Extremely Fast Optimization of Reactive Force Fields☆56Updated 2 months ago
- Official repository for the paper "Uncertainty-biased molecular dynamics for learning uniformly accurate interatomic potentials".☆9Updated 6 months ago
- Example to fit parameters and run CG simulations using TorchMD and Schnet☆42Updated 2 years ago
- tools for machine learning in condensed matter physics and quantum chemistry☆34Updated 2 years ago
- OpenMM plugin for simulating electrochemical systems☆14Updated 2 years ago