Data mining for materials science
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Updated
May 27, 2024 - HTML
Data mining for materials science
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).
Data and Codes for Experimentally Validated Inverse design of Multi-Property Fe-Co-Ni alloys
The CHiMaD Phase Field Community Website
Tutorials, notebooks, issue tracker, and website on the MPDS API: the data retrieval interface for the Materials Platform for Data Science
Basic info and tutorials for the GUI of the Materials Platform for Data Science (MPDS)
High Performance Computing Strategies for Boundary Value Problems
Blogging using Pluto.jl notebooks.
Predict materials properties using only the composition information!
The CHiMaD Phase Field Community Website
This is the web server for Carolina Materials Database (CMD). The CMD is a freely, globally accessible database of 36,847 inorganic material compounds with over 70,000 calculated properties, and growing.
Public release of data and code for materials synthesis generation
The front-end of a project for predicting concrete compressive strength.
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