MPDS's Projects
Browse 7z archives online in the web-browsers
A collection of ansible scripts to facilitate mpds-aiida cluster deployment in the cloud
Curated insights from the MPDS data
Source code for the Discovery app for Windows
Ermac is a standalone MPDS platform GUI to be embedded in any website
Scientific plots digitization app
MAM Abstract Modules for MPDS
MAM Abstract Modules for Optimade
Matbench: Benchmarks for materials science property prediction
Automated computational workflows based on the MPDS data platform using the CRYSTAL first-principles engine
A sample mashup code integrating different MPDS services together
Tutorials, notebooks, issue tracker, and website on the MPDS API: the data retrieval interface for the Materials Platform for Data Science
MPDS API client library in Python
Public dump of distinct phases (single-phase materials) known to PAULING FILE
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).
MPDS neuro-symbolic data mining
Free-form search terms translation into the Optimade query language
Parse Corel Draw vector graphics from Python using libcdr
Python tool set for equations of state.
Vote on whether you think predicted crystal structures could be synthesised
Basic info and tutorials for the GUI of the Materials Platform for Data Science (MPDS)
Web-viewer for materials science visualizations