JCAP images and absorption spectra for 179072 metal oxides

Gregoire, John M; Stein, Helge S; Soedarmadji, Edwin; Newhouse, Paul F; Guevarra, Dan

doi:10.22002/D1.1103

Title: JCAP images and absorption spectra for 179072 metal oxides

Abstract

Experimental data for inkjet printed metal oxides which compositions, images from a flatbed scanner, and absorption spectra from dual-sphere UV-vis. See 10.1039/C8SC03077D for details.

Authors:

;

; Soedarmadji, Edwin; Newhouse, Paul F; Guevarra, Dan

California Inst. of Technology (CalTech), Pasadena, CA (United States). Joint Center for Artificial Photosynthesis (JCAP)

Publication Date:: Mon Oct 29 00:00:00 EDT 2018

Other Number(s):: 10.22002/D1.1103

DOE Contract Number:: SC0004993

Research Org.:: California Institute of Technology (CalTech), Pasadena, CA (United States)

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

Subject:: 36 MATERIALS SCIENCE

Keywords:: metal oxides; optical absorption; solar fuels; high throughput experimentation

OSTI Identifier:: 1479489

DOI:: https://doi.org/10.22002/D1.1103

Citation Formats


                    Gregoire, John M, Stein, Helge S, Soedarmadji, Edwin, Newhouse, Paul F, and Guevarra, Dan. JCAP images and absorption spectra for 179072 metal oxides.  United States: N. p., 2018. 
        Web.  doi:10.22002/D1.1103.

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                    Gregoire, John M, Stein, Helge S, Soedarmadji, Edwin, Newhouse, Paul F, & Guevarra, Dan. JCAP images and absorption spectra for 179072 metal oxides.  United States.  doi:https://doi.org/10.22002/D1.1103

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                    Gregoire, John M, Stein, Helge S, Soedarmadji, Edwin, Newhouse, Paul F, and Guevarra, Dan. 2018.  
"JCAP images and absorption spectra for 179072 metal oxides".  United States.  doi:https://doi.org/10.22002/D1.1103.  https://www.osti.gov/servlets/purl/1479489. Pub date:Mon Oct 29 00:00:00 EDT 2018

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@article{osti_1479489,

  title        = {JCAP images and absorption spectra for 179072 metal oxides},

  author       = {Gregoire, John M and Stein, Helge S and Soedarmadji, Edwin and Newhouse, Paul F and Guevarra, Dan},

  abstractNote = {Experimental data for inkjet printed metal oxides which compositions, images from a flatbed scanner, and absorption spectra from dual-sphere UV-vis. See 10.1039/C8SC03077D for details.},

  doi          = {10.22002/D1.1103},

  journal      = {},

  number       = ,

  volume       = ,

  place        = {United States},

  year         = {Mon Oct 29 00:00:00 EDT 2018},

  month        = {Mon Oct 29 00:00:00 EDT 2018}

}

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DOI: https://doi.org/10.22002/D1.1103

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Works referenced in this record:

Machine learning of optical properties of materials – predicting spectra from images and images from spectra
journal, January 2019

Stein, Helge S.; Guevarra, Dan; Newhouse, Paul F.
Chemical Science, Vol. 10, Issue 1
https://doi.org/10.1039/C8SC03077D

Works referencing / citing this record:

Machine learning of optical properties of materials – predicting spectra from images and images from spectra
journal, January 2019

Stein, Helge S.; Guevarra, Dan; Newhouse, Paul F.
Chemical Science, Vol. 10, Issue 1
https://doi.org/10.1039/C8SC03077D

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journal (1)

Title: JCAP images and absorption spectra for 179072 metal oxides

Abstract

Citation Formats

Machine learning of optical properties of materials – predicting spectra from images and images from spectra journal, January 2019

Machine learning of optical properties of materials – predicting spectra from images and images from spectra journal, January 2019

Machine learning of optical properties of materials – predicting spectra from images and images from spectra
journal, January 2019

Machine learning of optical properties of materials – predicting spectra from images and images from spectra
journal, January 2019