Materials Data on Li2FeCuO4 (SG:10) by Materials Project

doi:10.17188/1301887

Title: Materials Data on Li2FeCuO4 (SG:10) by Materials Project

Abstract

Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations

Publication Date:: 2016-04-22

Other Number(s):: mp-773460

DOE Contract Number:: AC02-05CH11231; EDCBEE

Product Type:: Dataset

Research Org.:: Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). LBNL Materials Project

Sponsoring Org.:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

Subject:: 36 MATERIALS SCIENCE

Keywords:: crystal structure; Cu1 Fe1 Li2 O4; Cu-Fe-Li-O;

OSTI Identifier:: 1301887

DOI:: 10.17188/1301887

Citation Formats


                    The Materials Project. Materials Data on Li2FeCuO4 (SG:10) by Materials Project.  United States: N. p., 2016. 
        Web.  doi:10.17188/1301887.

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                    The Materials Project. Materials Data on Li2FeCuO4 (SG:10) by Materials Project.  United States.  doi:10.17188/1301887.

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                    The Materials Project. 2016.  
"Materials Data on Li2FeCuO4 (SG:10) by Materials Project".  United States.  doi:10.17188/1301887.  https://www.osti.gov/servlets/purl/1301887. Pub date:Fri Apr 22 00:00:00 EDT 2016

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@article{osti_1301887,

  title        = {Materials Data on Li2FeCuO4 (SG:10) by Materials Project},

  author       = {The Materials Project},

  abstractNote = {Computed materials data using density functional theory calculations. These calculations determine the electronic structure of bulk materials by solving approximations to the Schrodinger equation. For more information, see https://materialsproject.org/docs/calculations},

  doi          = {10.17188/1301887},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {2016},

  month        = {4}

}

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DOI: 10.17188/1301887

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The Materials Project

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 aimsmore »

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Research Org:	Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States). LBNL Materials Project; 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); USDOE Office of Science (SC), Advanced Scientific Computing Research (ASCR); USDOE Office of Energy Efficiency and Renewable Energy (EERE), Vehicle Technologies Office (EE-3V)