Revealing nonequilibrium phenomena and slow dynamics in many-body systems through machine learning
(2023)
- Author
- Corneel Casert (UGent)
- Promoter
- Jan Ryckebusch (UGent) and Toon Verstraelen (UGent)
- Organization
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Citation
Please use this url to cite or link to this publication: http://hdl.handle.net/1854/LU-01H77P715NDGQZNBDNV5GSA8YF
- MLA
- Casert, Corneel. Revealing Nonequilibrium Phenomena and Slow Dynamics in Many-Body Systems through Machine Learning. Ghent University. Faculty of Sciences, 2023.
- APA
- Casert, C. (2023). Revealing nonequilibrium phenomena and slow dynamics in many-body systems through machine learning. Ghent University. Faculty of Sciences, Ghent, Belgium.
- Chicago author-date
- Casert, Corneel. 2023. “Revealing Nonequilibrium Phenomena and Slow Dynamics in Many-Body Systems through Machine Learning.” Ghent, Belgium: Ghent University. Faculty of Sciences.
- Chicago author-date (all authors)
- Casert, Corneel. 2023. “Revealing Nonequilibrium Phenomena and Slow Dynamics in Many-Body Systems through Machine Learning.” Ghent, Belgium: Ghent University. Faculty of Sciences.
- Vancouver
- 1.Casert C. Revealing nonequilibrium phenomena and slow dynamics in many-body systems through machine learning. [Ghent, Belgium]: Ghent University. Faculty of Sciences; 2023.
- IEEE
- [1]C. Casert, “Revealing nonequilibrium phenomena and slow dynamics in many-body systems through machine learning,” Ghent University. Faculty of Sciences, Ghent, Belgium, 2023.
@phdthesis{01H77P715NDGQZNBDNV5GSA8YF,
author = {{Casert, Corneel}},
language = {{eng}},
pages = {{XII,}},
publisher = {{Ghent University. Faculty of Sciences}},
school = {{Ghent University}},
title = {{Revealing nonequilibrium phenomena and slow dynamics in many-body systems through machine learning}},
year = {{2023}},
}