TY - JOUR
T1 - Oxidation states of binary oxides from data analytics of the electronic structure
AU - Posysaev, Sergei
AU - Miroshnichenko, Olga
AU - Alatalo, Matti
AU - Le, Duy
AU - Rahman, Talat S.
PY - 2019/4/15
Y1 - 2019/4/15
N2 - Despite their simplicity, the concepts of oxidation states (OS) and Bader charge are widely used in the analysis of experimental data and theoretical calculations for gaining physical and chemical insights. However, a connection between the OS and Bader charge has not been generally demonstrated. To our knowledge, all previous works concerning this connection were limitted to a small number of compounds. The aim of this work was to find a dependency between OS and Bader charge for a large number of compounds from an open database. Using a simple machine learning algorithm, linear regression, we show that a correlation indeed exists for the binary oxide systems. The applicability of determining OS by Bader charges for binary oxides in mixed-valence compounds and surfaces is considered and the limits of validity of the approach is discussed.
AB - Despite their simplicity, the concepts of oxidation states (OS) and Bader charge are widely used in the analysis of experimental data and theoretical calculations for gaining physical and chemical insights. However, a connection between the OS and Bader charge has not been generally demonstrated. To our knowledge, all previous works concerning this connection were limitted to a small number of compounds. The aim of this work was to find a dependency between OS and Bader charge for a large number of compounds from an open database. Using a simple machine learning algorithm, linear regression, we show that a correlation indeed exists for the binary oxide systems. The applicability of determining OS by Bader charges for binary oxides in mixed-valence compounds and surfaces is considered and the limits of validity of the approach is discussed.
KW - Bader charge
KW - Electronic structure
KW - Oxidation state
UR - http://www.scopus.com/inward/record.url?scp=85062262740&partnerID=8YFLogxK
U2 - 10.1016/j.commatsci.2019.01.046
DO - 10.1016/j.commatsci.2019.01.046
M3 - Article
AN - SCOPUS:85062262740
SN - 0927-0256
VL - 161
SP - 403
EP - 414
JO - Computational Materials Science
JF - Computational Materials Science
ER -