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Machine Learning and AB-initio Simulations for Accelerated Materials Discovery
Bölle, Felix Tim
(PhD Student)
Hautier, Geoffroy
(Examiner)
Hennig, Richard G.
(Examiner)
Hansen, Heine A.
(Examiner)
Vegge, Tejs
(Main Supervisor)
Castelli, Ivano Eligio
(Supervisor)
Thygesen, Kristian Sommer
(Supervisor)
Atomic Scale Materials Modelling
Department of Energy Conversion and Storage
Computational Atomic-scale Materials Design
Department of Physics
Center for Nanostructured Graphene
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/02/2018
→
12/04/2021
Funding
Technical University of Denmark
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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.
Nanotubes
Material Science
100%
Nanotube
Chemistry
100%
Materials Engineering
Material Science
66%
Density
Material Science
33%
Lattice Mismatch
Material Science
33%
Energy Materials
Material Science
33%
Electronic Circuit
Material Science
33%
Magnesium Ion
Material Science
33%
Research output
Research output per year
2021
2021
2021
1
Ph.D. thesis
Research output per year
Research output per year
Scientific workflows for accelerated computational materials discovery
Bölle, F. T.,
2021
, Kgs. Lyngby:
Technical University of Denmark
.
89 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Nanotubes
100%
Nanotube
100%
Materials Engineering
66%
Lattice Mismatch
33%
Electronic Circuit
33%
1050
Downloads (Orbit)