Quantum dynamics of 2D antiferromagnets: predictions from theory and machine learning

Fabiani, G.

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[S.l.] : [S.n.]

Quantum dynamics of 2D antiferromagnets: predictions from theory and machine learning

dc:creator Fabiani, G.

dc:date2022

Abstract

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Contains fulltext : 250503.pdf (Publisher’s version ) (Open Access)

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Grantor dc:publisher: [S.l.] : [S.n.]
Year dc:date: 2022

Author and committee

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Author dc:creator: Fabiani, G.
Contributors dc:contributor: Rasing, T.H.M.
Mentink, J.H.

Subjects

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Spectroscopy of Solids and Interfaces

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Repository record dc:identifier: https://repository.ubn.ru.nl/handle/2066/250503
OAI identifier oai:identifier: oai:repository.ubn.ru.nl:2066/250503

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Harvested from: Radboud University Nijmegen
Base URL: repository.ubn.ru.nl/oai/request
Last updated: 2026-07-24
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citation

Fabiani, G.. Quantum dynamics of 2D antiferromagnets: predictions from theory and machine learning. [S.l.] : [S.n.], 2022. https://repository.ubn.ru.nl/handle/2066/250503

Quantum dynamics of 2D antiferromagnets: predictions from theory and machine learning

Abstract

Degree

Author and committee

Subjects

Identifiers

Chain of custody

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