Machine learning methods for the prediction of micromagnetic magnetization dynamics

Sebastian Schaffer; Norbert J. Mauser; Thomas Schrefl; Dieter Suess; Lukas Exl

doi:10.1109/TMAG.2021.3095251

Machine learning methods for the prediction of micromagnetic magnetization dynamics

Sebastian Schaffer, Norbert J. Mauser, Thomas Schrefl, Dieter Suess, Lukas Exl

Veröffentlichungen: Beitrag in Fachzeitschrift › Artikel › Peer Reviewed

Originalsprache	Englisch
Aufsatznummer	7100506
Seitenumfang	6
Fachzeitschrift	IEEE Transactions on Magnetics
Jahrgang	58
Ausgabenummer	2
DOIs	https://doi.org/10.1109/TMAG.2021.3095251
Publikationsstatus	Veröffentlicht - 1 Feb. 2022

ÖFOS 2012

101014 Numerische Mathematik
103043 Computational Physics
102019 Machine Learning

Zugriff auf Dokument

10.1109/TMAG.2021.3095251

Andere Dateien und Links

Verknüpfung zur Publikation in Scopus

CD-Labor Advanced Magnetic Sensing and Materials
Süss, D. & Vranckx Herrera, S. E.
1/05/17 → 31/07/20
Projekt: Forschungskooperation

Zitationsweisen

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title = "Machine learning methods for the prediction of micromagnetic magnetization dynamics",

keywords = "computational micromagnetism, Computational modeling, deep neural networks, Kernel, kernel methods, low-rank approximation, Magnetic domains, Magnetization, Mathematical model, nonlinear model order and dimensionality reduction, Principal component analysis, regularized autoencoders, Training, deep neural networks (NNs), regularized autoencoders (AEs), Computational micromagnetism",

author = "Sebastian Schaffer and Mauser, {Norbert J.} and Thomas Schrefl and Dieter Suess and Lukas Exl",

year = "2022",

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AU - Schaffer, Sebastian

AU - Mauser, Norbert J.

AU - Schrefl, Thomas

AU - Suess, Dieter

AU - Exl, Lukas

PY - 2022/2/1

Y1 - 2022/2/1

KW - computational micromagnetism

KW - Computational modeling

KW - deep neural networks

KW - Kernel

KW - kernel methods

KW - low-rank approximation

KW - Magnetic domains

KW - Magnetization

KW - Mathematical model

KW - nonlinear model order and dimensionality reduction

KW - Principal component analysis

KW - regularized autoencoders

KW - Training

KW - deep neural networks (NNs)

KW - regularized autoencoders (AEs)

KW - Computational micromagnetism

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U2 - 10.1109/TMAG.2021.3095251

DO - 10.1109/TMAG.2021.3095251

M3 - Article

AN - SCOPUS:85110911147

SN - 0018-9464

VL - 58

JO - IEEE Transactions on Magnetics

JF - IEEE Transactions on Magnetics

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Machine learning methods for the prediction of micromagnetic magnetization dynamics

ÖFOS 2012

Zugriff auf Dokument

Andere Dateien und Links

Fingerprint

Projekte

CD-Labor Advanced Magnetic Sensing and Materials

Zitationsweisen