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Theoretical studies of materials for water splitting
Garijo del Rio, Estefania
(PhD Student)
Jacobsen, Karsten Wedel
(Main Supervisor)
Thygesen, Kristian Sommer
(Supervisor)
Jonsson, Hannes
(Examiner)
Schiøtz, Jakob
(Examiner)
Hammer, Bjørk
(Examiner)
Department of Physics
Computational Atomic-scale Materials Design
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/08/2017
→
18/08/2021
Funding
Samfinansieret - Andet
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Fingerprint
Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Machine Learning
Computer Science
100%
Local Optimization
Computer Science
100%
Density Functional Theory
Computer Science
100%
Density
Material Science
100%
Atomic Structure
Material Science
100%
Learning System
Chemical Engineering
100%
Global Optimization
Computer Science
66%
Surface Energy
Material Science
66%
Research output
Publications per year
2021
2021
2021
1
Ph.D. thesis
Publications per year
Publications per year
Machine learning methods for geometry optimization of atomic structures
Garijo del Rio, E.,
2021
, Kgs. Lyngby:
Department of Physics, Technical University of Denmark
.
178 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Machine Learning
100%
Local Optimization
100%
Density Functional Theory
100%
Atomic Structure
100%
Density
100%
709
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