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ml-evs/README.md

I'm Matthew, a BEWARE Postdoctoral Research Fellow at UCLouvain and Matgenix, broadly interested in accelerating materials discovery and design via machine learning, digital data management and open source scientific software.

Current projects

Please reach out to me via the email on my personal website if you are interested in:

  • Testing out or hosting a deployment of the datalab software for your research group or company
  • Joining the MaRDA metadata extractors working group
  • Deploying your crystal structure data, or ingesting community data, with an OPTIMADE API
  • Benchmarking machine learned interatomic potentials on specific systems of interest

Pinned

  1. the-grey-group/datalab the-grey-group/datalab Public

    datalab is a place to store experimental data and the connections between them.

    Python 36 15

  2. marda-alliance/metadata_extractors marda-alliance/metadata_extractors Public

    A Working Group on connecting and advancing interoperability of efforts on automated extraction of metadata from materials and chemical file formats

    14 3

  3. Materials-Consortia/optimade-python-tools Materials-Consortia/optimade-python-tools Public

    Tools for implementing and consuming OPTIMADE APIs in Python

    Python 60 41

  4. Materials-Consortia/OPTIMADE Materials-Consortia/OPTIMADE Public

    Specification of a common REST API for access to materials databases

    Makefile 70 38

  5. ppdebreuck/modnet ppdebreuck/modnet Public

    MODNet: a framework for machine learning materials properties

    Jupyter Notebook 69 32

  6. this-material-does-not-exist this-material-does-not-exist Public

    Vote on whether you think predicted crystal structures could be synthesised

    Python 15 4