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This is the proof of concept, how a relatively unsophisticated statistical model trained on the large MPDS dataset predicts physical properties from the only crystalline structure (POSCAR or CIF).
Daemon to monitor AiiDA MPDS workflows and send webhooks on task start/finish.
Basic info and tutorials for the GUI of the Materials Platform for Data Science (MPDS)
High-throughput ab initio calculations using CRYSTAL and FLEUR based on the MPDS data
Tutorials, notebooks, issue tracker, and website on the MPDS API: the data retrieval interface for the Materials Platform for Data Science
Automated computational workflows based on the MPDS data platform using the CRYSTAL and FLEUR first-principles engines
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