AtomGPT.org API(AGAPI) Documentation¶
Welcome to the documentation for AtomGPT.org API - a comprehensive platform with 50+ web applications for materials science, powered by the JARVIS ecosystem.
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Explore
Browse 76K+ materials, proteins, polymers, surfaces, and more from JARVIS-DFT and other databases.
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Build
Visualize structures, build heterostructures, design workflows, and write AI-assisted code.
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Predict
ALIGNN, SlakoNet, ALIGNN-FF, AtomGPT — predict properties with GNNs, MLFF, TB, and quantum algorithms.
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Characterize
Match XRD patterns with DiffractGPT, analyze Raman spectra, identify structures from microscopy images.
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Apply
Screen superconductors, solar cells, batteries, catalysts, and DAC materials.
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Validate
Detect AI-generated text, check for hallucinations, verify references.
Quick Links¶
| Resource | Link |
|---|---|
| AtomGPT.org | atomgpt.org |
| GitHub | github.com/atomgptlab |
| API | API Reference |
| Tutorials | Tutorials |
Citation¶
If you use AtomGPT.org in your research, please cite:
@article{lee2025agapi,
title={AGAPI-Agents: An Open-Access Agentic AI Platform for Accelerated Materials Design on AtomGPT. org},
author={Lee, Jaehyung and Ely, Justin and Zhang, Kent and Ajith, Akshaya and Campbell, Charles Rhys and Choudhary, Kamal},
journal={arXiv preprint arXiv:2512.11935},
year={2025}
}
@article{choudhary2025chatgpt,
title={Chatgpt material explorer: Design and implementation of a custom gpt assistant for materials science applications},
author={Choudhary, Kamal},
journal={Integrating Materials and Manufacturing Innovation},
volume={14},
number={3},
pages={276--283},
year={2025},
publisher={Springer}
}
@article{choudhary2025jarvis,
title={The JARVIS infrastructure is all you need for materials design},
author={Choudhary, Kamal},
journal={Computational Materials Science},
volume={259},
pages={114063},
year={2025}
}
@article{choudhary2020jarvis,
title={The joint automated repository for various integrated simulations (JARVIS)},
author={Choudhary, Kamal and others},
journal={npj Computational Materials},
volume={6},
pages={173},
year={2020}
}