• Python Materials Genomics (pymatgen) is a robust materials analysis code that defines core object representations for structures and molecules with support for many electronic structure codes. It is currently the core analysis code powering the Materials Project.

    Propeller Spin 317 305 MIT Updated Oct 22, 2018
  • The Fireworks Workflow Management Repo.

    Python 132 97 Updated Oct 20, 2018
  • Be a master builder of databases of material properties. Avoid the Kragle.

    Python 2 17 Updated Oct 20, 2018
  • A simple, robust and flexible just-in-time job management framework in Python.

    Roff 34 49 MIT Updated Oct 19, 2018
  • Public repo for Materials API documentation

    Jupyter Notebook 22 18 BSD-3-Clause Updated Oct 19, 2018
  • MP's User Contribution Framework

    HTML 4 6 MIT Updated Oct 18, 2018
  • Contributor Modules to enable their data submissions via MPContribs

    Python 2 14 Updated Oct 18, 2018
  • MongoDB aggregation machine

    Python 2 6 Updated Oct 17, 2018
  • Django app containing the core functionality of MP's web site to enable development of pluggable web apps

    CSS 6 1 MIT Updated Oct 16, 2018
  • Assets for the 2018 Materials Project workshop

    Jupyter Notebook 4 6 Updated Oct 8, 2018
  • Continuous and High-Throughput Allocation of Digital Object Identifiers for Materials Data in the Materials Project

    Python 1 Updated Oct 2, 2018
  • grant username and password credentials for roles on mongo databases via email verification

    Python 1 Updated Sep 26, 2018
  • Gradient Boosting Machine-Locfit: A GBM framework using local regresssion via Locfit.

    C 4 2 Updated Sep 25, 2018
  • Materials Project Documentation

    1 Updated Sep 25, 2018
  • docker image for materials_django

    Dockerfile BSD-3-Clause Updated Aug 17, 2018
  • Docker build for Materials Project Jupyter container

    Dockerfile 1 2 Updated Aug 8, 2018
  • Pymatgen-db provides an addon to the Python Materials Genomics (pymatgen) library (https://pypi.python.org/pypi/pymatgen) that allows the creation of Materials Project-style databases for management of materials data.

    Python 21 34 MIT Updated Jul 17, 2018
  • MPmorph is a collection of tools to run and analyze ab-initio molecular dynamics (AIMD) calculations run with VASP, and is currently under development. It relies heavily on tools developed by the Materials Project (pymatgen, custodian, fireworks) and atomate.

    Jupyter Notebook 6 9 Updated Jul 10, 2018
  • JavaScript Updated Jun 21, 2018
  • merges pymatgen, custodian, and FireWorks into a custom workflow for Materials Project

    Python 19 24 Updated Dec 12, 2017
  • Spinning property workflows. Taking requests.

    Python 1 Updated Dec 9, 2017
  • Assets for the 2017 Materials Project workshop

    Jupyter Notebook 15 21 Updated Nov 27, 2017
  • code, logs and documentation for MP's workflow and builder sentries

    Jupyter Notebook 1 MIT Updated Oct 31, 2017
  • Workflow for Electrolyte Genome Project.

    Python 4 1 Updated Mar 20, 2017
  • Assets for the Materials Project workshop in Aug 2016

    HTML 13 11 Updated Nov 28, 2016
  • create a virtual environment for running FireWorks within Materials Project

    Python 1 10 Updated Nov 7, 2016
  • Jupyterhub for spinning up materials project notebook environments

    Python 1 2 BSD-2-Clause Updated Nov 2, 2016
  • Public issue tracker for www.materialsproject.org

    1 Updated Nov 21, 2014
  • Nanoporous Materials Genome Center (NMGC) data

    1 MIT Updated Nov 5, 2014
  • interactive battery demo built on meteor

    CSS 3 2 Updated Jun 7, 2014
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