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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)
Schi?tz, Jakob
(Examiner)
Hammer, Bj?rk
(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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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.
Atomic Structure
Keyphrases
100%
Geometry Optimization
Keyphrases
100%
Machine Learning Techniques
Keyphrases
100%
Machine Learning
Physics
100%
Density Functional Theory
Physics
100%
Local Optimization
Keyphrases
66%
Potential Energy Surface
Keyphrases
66%
Optimal Geometry
Keyphrases
66%
Research output
Research output per year
2021
2021
2021
1
Ph.D. thesis
Research output per year
Research output 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
Atomic Structure
100%
Geometry Optimization
100%
Machine Learning Techniques
100%
Machine Learning
100%
Density Functional Theory
100%
2282
Downloads (Orbit)