Bulletin of the American Physical Society
APS March Meeting 2020
Volume 65, Number 1
Monday–Friday, March 2–6, 2020; Denver, Colorado
Session X43: Computational design and discovery of novel materials VII: Machine learning and high throughput computing
11:15 AM–2:15 PM,
Friday, March 6, 2020
Room: 702
Sponsoring
Units:
DCOMP DMP
Chair: Feng Zhang, Ames Lab
Abstract: X43.00001 : Density Functional Theory Calculations on Surface Oxygen Vacancy Formation in Metal Oxides
View Presentation Abstract
Presenter:
Yoyo Hinuma
(Chiba Univ)
Authors:
Yoyo Hinuma
(Chiba Univ)
Takashi Toyao
(Hokkaido University)
Takashi Kamachi
(Fukuoka Institute of Technology)
Zen Maeno
(Hokkaido University)
Satoru Takakusagi
(Hokkaido University)
Shinya Furukawa
(Hokkaido University)
Ichigaku Takigawa
(RIKEN)
Ken-ichi Shimizu
(Hokkaido University)
Accurate calculation of the surface vacancy formation energy based on first principles calculations require calculation of a surface model and is much more computationally expensive than a bulk calculation. Catalysts typically require a certain physical quantity to be within a certain range, hence rapid judgement of whether a candidate material is viable or not based on quantities (descriptors) that are easy to calculate can significantly accelerate the screening process. We report on correlations between descriptors that can be calculated at low cost and the O vacancy formation energy of various insulating binary oxide materials [Hinuma et al., J. Phys. Chem. C 2018, 122, 29435] as well as spinel oxides containing zinc.
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