Docker Container of CrystaLLM-pi (AI-driven Prediction of Crystal Structure)

Docker container for CrystaLLM-pi - 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 Docker container provides a ready made environment for running CrystaLLM-pi locally. It bundles all required dependencies and configuration so users can run the model without setting up the software stack themselves, making it easier to test the tool, reproduce results, or integrate it into existing workflows.
This resource is part of the CrystaLLM-pi (AI-driven Prediction of Crystal Structure from Composition and Experimental Data) & Container Image Registry resource themes.
Container Information
To obtain this container image you may use the following
docker pull ghcr.io/psdi-uk/crystallm-pi:latest
Further Information
Creators
Keith Butler, Bradley A. A. Martin, Cyprien Bone & Ricardo Grau-Crespo
Qualified Attribution
Publisher
Access
Open Access
Licenses
Other licenses for software in image
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. Docker Container of CrystaLLM-pi (AI-driven Prediction of Crystal Structure). Online. 16 March 2025. Available from: https://resources.psdi.ac.uk/tool/d2f426b2-04df-4ed1-8778-c2082852088c. [accessed YYYY-MM-DD].

