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Data-Mining Element Charges in Inorganic Materials.
Ding, Yu; Kumagai, Yu; Oba, Fumiyasu; Burton, Lee A.
Afiliación
  • Ding Y; International Centre for Quantum and Molecular Structures, Department of Physics, Shanghai University, Shanghai 200444, China.
  • Kumagai Y; Laboratory for Materials and Structures, Institute of Innovative Research, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama 226-8503, Japan.
  • Oba F; Laboratory for Materials and Structures, Institute of Innovative Research, Tokyo Institute of Technology, 4259 Nagatsuta, Midori-ku, Yokohama 226-8503, Japan.
  • Burton LA; International Centre for Quantum and Molecular Structures, Department of Physics, Shanghai University, Shanghai 200444, China.
J Phys Chem Lett ; 11(19): 8264-8267, 2020 Oct 01.
Article en En | MEDLINE | ID: mdl-32852211
Oxidation states are well-established in chemical science teaching and research. We data-mine more than 168 000 crystallographic reports to find an optimal allocation of oxidation states to each element. In doing so, we uncover discrepancies between textbook chemistry and reported charge states observed in materials. We go on to show how the oxidation states we recommend can significantly facilitate materials discovery and the heuristic design of novel inorganic compounds.

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Phys Chem Lett Año: 2020 Tipo del documento: Article País de afiliación: China

Texto completo: 1 Colección: 01-internacional Banco de datos: MEDLINE Idioma: En Revista: J Phys Chem Lett Año: 2020 Tipo del documento: Article País de afiliación: China