CrystaLLM-pi (AI-driven Prediction of Crystal Structure) Github Repository

CrystaLLM-pi logo

Github repository for CrystaLLM-pi code - a generative model for producing plausible structures for crystalline materials. It can be run in several ways: de novo to generate a plausible material with no constraints; to propose a crystal structure for a given chemical composition; or to produce a structure that is consistent with a supplied X ray diffraction (XRD) pattern. The GitHub repository provides the full source code for users who wish to install and run it in their own environment.

Further Information

Creators

Keith Butler, Bradley A. A. Martin, Cyprien Bone & Ricardo Grau-Crespo

Publisher

PSDI

Access

Open Access

License

MIT

Contact

https://github.com/C-Bone-UCL/CrystaLLM-pi/issues

Citation

Please cite: Keith Butler, Bradley A. A. Martin, Cyprien Bone and Ricardo Grau-Crespo. CrystaLLM-pi (AI-driven Prediction of Crystal Structure) Github Repository. Online. 23 September 2025. Available from: https://resources.psdi.ac.uk/tool/b33b210b-93b1-495a-aa10-f38b01cd703f. [accessed YYYY-MM-DD].

Keywords and Subjects

PSDI-funding-call-FC1-A1-2025
materials discovery
crystal structure generation
generative machine learning
inverse materials design
crystallographic data