About the Materials Project


By computing properties of all known materials, the Materials Project aims to remove guesswork from materials design in a variety of applications. Experimental research can be targeted to the most promising compounds from computational data sets. Researchers will be able to data-mine scientific trends in materials properties. By providing materials researchers with the information they need to design better, the Materials Project aims to accelerate innovation in materials research.


Supercomputing clusters at the Lawrence Berkeley National Laboratory's NERSC Scientific Computing Center and Computational Research Division provide the infrastructure that enables our computations, data, and algorithms to run at unparalleled speed


Computational materials science is now powerful enough that it can predict many properties of materials before those materials are ever synthesized in the lab. By scaling materials computations over supercomputing clusters, we have predicted several new battery materials which were made and tested in the lab. Recently, we have also identified new transparent conducting oxides and thermoelectric materials using this approach.

Database Statistics

  • 65952

  • 43643

  • 2270

    elastic tensors
  • 923

    piezoelectric tensors
  • 3628

    Li intercalation electrodes
  • 16128

    Li conversion electrodes


Professor Gerbrand Ceder

R. P. Simmons Professor of Materials Science and Engineering, Massachusetts Institute of Technology

Dr. Kristin Persson

Staff Scientist, Lawrence Berkeley National Laboratory

Partners and Support

Development of the Materials Project is supported by the U.S. Department of Energy, Batteries for Advanced Transportation Technologies (BATT) and a Laboratory Directed Research and Development grant from LBNL. Disseminated science supported by DOE, NSF, Gillette, Umicore, Bosch and BATT.

Advisory Board

Mattias Scheffler
Fritz Haber Institute
Nicola Marzari
Brent Fultz
Dane Morgan
Antony Williams
Royal Society of Chemistry

In Collaboration With:

  • Kristin Persson
  • Dan Gunter
  • Maciej Haranszyk
  • Jeff Neaton
  • Anubhav Jain
  • Donny Winston
  • Wei Chen
  • Qimin Yan
  • Bharat Medasani
  • Monte Goode
  • Xiaohui Qu
  • Miao Liu
UC Berkeley
  • Mark Asta
  • Maarten de Jong
  • Dan Broberg
  • Tom Angsten
  • David Skinner
  • Shreyas Cholia
  • Gerbrand Ceder
  • William Davidson Richards
  • Stephen Dacek
  • Bo Xu
  • Wenhao Sun
  • Sai Jayaraman
  • Shyue Ping Ong
  • Anthony Gamst
  • Randy Notestine
Duke University
  • Stefano Curtarolo
  • Cormac Toher
  • Jose Javier Plata Ramos
  • Jeff Snyder
  • Zachary Gibbs
  • Dane Morgan
  • Tam Mayeshiba
UCL Belgium
  • Geoffroy Hautier

Open APIs

For information about our materials API and pymatgen analysis code, please check our API page and visit the Fireworks page for details about our open source scientific workflow software.

Get In Touch

Questions? Feedback? We'd love to hear from you. Contact our team