Materials Data on NiTe2O5 by Materials Project

doi:10.17188/1727169

Title: Materials Data on NiTe2O5 by Materials Project

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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

Authors:: The Materials Project

Publication Date:: Thu Apr 30 00:00:00 EDT 2020

Other Number(s):: mp-504692

DOE Contract Number:: AC02-05CH11231; EDCBEE

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)

Collaborations:: MIT; UC Berkeley; Duke; U Louvain

Subject:: 36 MATERIALS SCIENCE

Keywords:: crystal structure; NiTe2O5; Ni-O-Te

OSTI Identifier:: 1727169

DOI:: https://doi.org/10.17188/1727169

Citation Formats


                    The Materials Project. Materials Data on NiTe2O5 by Materials Project.  United States: N. p., 2020. 
        Web.  doi:10.17188/1727169.

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                    The Materials Project. Materials Data on NiTe2O5 by Materials Project.  United States.  doi:https://doi.org/10.17188/1727169

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                    The Materials Project. 2020.  
"Materials Data on NiTe2O5 by Materials Project".  United States.  doi:https://doi.org/10.17188/1727169.  https://www.osti.gov/servlets/purl/1727169. Pub date:Thu Apr 30 00:00:00 EDT 2020

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@article{osti_1727169,

  title        = {Materials Data on NiTe2O5 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          = {10.17188/1727169},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Thu Apr 30 00:00:00 EDT 2020},

  month        = {Thu Apr 30 00:00:00 EDT 2020}

}

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DOI: https://doi.org/10.17188/1727169

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