High-throughput computational materials screening of transition metal peroxides
Semiconductor materials of abnormal stoichiometric ratio often exhibit unique properties, yet it is still a challenge to determine the structures of such materials in an efficient way. Herein, we propose a method for structurally biased screening according to the coordination numbers and the numbers...
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Published in | Physical chemistry chemical physics : PCCP Vol. 26; no. 3; pp. 293 - 21 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
England
Royal Society of Chemistry
17.01.2024
|
Subjects | |
Online Access | Get full text |
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Summary: | Semiconductor materials of abnormal stoichiometric ratio often exhibit unique properties, yet it is still a challenge to determine the structures of such materials in an efficient way. Herein, we propose a method for structurally biased screening according to the coordination numbers and the numbers of Wyckoff positions, balancing the atom local environment and the global symmetry of structures. Based on first-principles calculations, we have predicted two metastable peroxides
P
2
1
/
c
-ScO
2
and
Pmmn
-TiO
3
with more than six coordination points. For these two structures, the most stable intrinsic defect is the oxygen vacancy (V
O
) at the peroxide anion (O
2−
2
), which induces the absence of antibonding orbital
formed by O
2−
2
near the valence band maximum. With the introduction of V
O
, the decrease of coordination numbers leads to charge recombination, and results in the appearance of an ordered phase TiO
2.5
with stronger Ti-O orbital hybridization. The proposed method presents a promising and feasible approach for the screening of novel compounds.
We propose a method for structurally biased screening according to the coordination numbers and the numbers of Wyckoff positions, balancing the atom local environment and the global symmetry of structures. |
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Bibliography: | https://doi.org/10.1039/d3cp03968d Electronic supplementary information (ESI) available. See DOI ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 |
ISSN: | 1463-9076 1463-9084 |
DOI: | 10.1039/d3cp03968d |