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Title: The Materials Project

Abstract

Harnessing the power of supercomputing and state of the art electronic structure methods, the Materials Project provides open web-based access to computed information on known and predicted materials as well as powerful analysis tools to inspire and design novel materials. Experimental research can be targeted to the most promising compounds from computational data sets. Supercomputing clusters at national laboratories provide the infrastructure that enables computations, data, and algorithms to run at unparalleled speed. Researchers are 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.

Product Type:
Project
Project Lead:
Research Org.:
LBNL Materials Project; Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States); Oak Ridge National Lab. (ORNL), Oak Ridge, TN (United States); Argonne National Lab. (ANL), Argonne, IL (United States); University of Califorinia San Diego Supercomputing Center (SDSC), San Diego, CA (United States)
Sponsoring Org.:
USDOE Office of Science (SC), Basic Energy Sciences (BES) (SC-22); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR) (SC-21); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)
Geolocation:
-122.246343,37.875069
Subject:
36 MATERIALS SCIENCE
OSTI Identifier:
1374173
Project Location:
Berkeley, CA

Citation Formats

Persson, Kristin. The Materials Project. United States: N. p., Web.
Persson, Kristin. The Materials Project. United States.
Persson, Kristin. "The Materials Project". United States. https://www.osti.gov/servlets/purl/1374173.
@article{osti_1374173,
title = {The Materials Project},
author = {Persson, Kristin},
abstractNote = {Harnessing the power of supercomputing and state of the art electronic structure methods, the Materials Project provides open web-based access to computed information on known and predicted materials as well as powerful analysis tools to inspire and design novel materials. Experimental research can be targeted to the most promising compounds from computational data sets. Supercomputing clusters at national laboratories provide the infrastructure that enables computations, data, and algorithms to run at unparalleled speed. Researchers are 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.},
doi = {},
journal = {},
number = ,
volume = ,
place = {United States},
year = {},
month = {}
}

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