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Synthesis, optical imaging, and absorption spectroscopy data for 179072 metal oxides
Author(s) -
Helge S. Stein,
Edwin Soedarmadji,
Paul F. Newhouse,
Dan Guevarra,
John M. Gregoire
Publication year - 2019
Publication title -
scientific data
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.565
H-Index - 64
ISSN - 2052-4463
DOI - 10.1038/s41597-019-0019-4
Subject(s) - characterization (materials science) , absorbance , spectroscopy , benchmark (surveying) , absorption (acoustics) , materials science , computer science , near infrared spectroscopy , nanotechnology , optics , physics , geology , geodesy , quantum mechanics , composite material
Optical absorption spectroscopy is an important materials characterization for applications such as solar energy generation. This data descriptor describes the to date (Dec 2018) largest publicly available curated materials science dataset for near infrared to near UV (UV-Vis) light absorbance, composition and processing properties of metal oxides. By supplying the complete synthesis and processing history of each of the 179072 samples from 99965 unique compositions we believe the dataset will enable the community to develop predictive models for materials, such as prediction of optical properties based on composition and processing, and ultimately serve as a benchmark dataset for continued integration of machine learning in materials science. The dataset is also a resource for identifying materials composition and synthesis to attain specific optical properties.

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