A toolkit for building high-performance molecular simulations on JAX.
Project description
A toolkit for building high-performance molecular simulations on JAX
kUPS provides composable, differentiable primitives — samplers, potentials, and propagators — with hardware acceleration on CPU, GPU, and TPU.
Installation
| Standard Installation |
pip install kups
|
| GPU Support |
pip install kups[cuda]
|
| Development |
git clone https://github.com/cusp-ai-oss/kups.git
cd kups
uv sync
|
Quick Start
[!TIP] The repository includes example applications built with kUPS in the
examples/directory.
Monte Carlo Simulation (GCMC)
cd examples
kups_mcmc_rigid --config gcmc_co2_30box.yaml
Molecular Dynamics (Lennard-Jones)
cd examples
kups_md_lj --config md_lj_argon_nvt.yaml
Features
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Simulation Methods
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Force Fields & Potentials
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|
Core Capabilities
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Performance & Integration
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Documentation
Full documentation is available at cusp-ai-oss.github.io/kups.
Building docs locally
To build the docs locally run ./docs/scripts/build.sh, which executes and renders all documentation notebooks and generates API pages in markdown.
./docs/scripts/build.sh # build into site/
./docs/scripts/build.sh --serve # serve with live updates on http://127.0.0.1:8000
Citation
If you use kUPS in your research, please cite:
@software{kups2026,
author = {{Cusp AI}},
title = {kUPS},
year = {2026},
url = {https://github.com/cusp-ai-oss/kups}
}
License
Apache License 2.0 — see LICENSE.
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