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

CrystaLLM-pi logo

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.

To use this resource go to the resource landing page.

Container Information

To obtain this container image you may use the following

docker pull ghcr.io/psdi-uk/crystallm-pi:latest

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Further Information

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Open Access

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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].

Keywords and Subjects

materials discovery
crystal structure generation
generative machine learning
inverse materials design
crystallographic data
Docker
container
container image