Standard

Combined Micromagnetic Simulation and Machine Learning Approach to Analysis of Polycrystalline Bilayer With Exchange Bias. / Kulesh, N.; Permyakov, N.; Zverev, V. et al.
In: IEEE Transactions on Magnetics, Vol. 58, No. 2, 01.02.2022.

Research output: Contribution to journal › Article › peer-review

Harvard

Kulesh, N, Permyakov, N, Zverev, V, Koshelev, A, Bolyachkin, A & Vas'Kovskiy, V 2022, 'Combined Micromagnetic Simulation and Machine Learning Approach to Analysis of Polycrystalline Bilayer With Exchange Bias', IEEE Transactions on Magnetics, vol. 58, no. 2. https://doi.org/10.1109/TMAG.2021.3077288

APA

Kulesh, N., Permyakov, N., Zverev, V., Koshelev, A., Bolyachkin, A., & Vas'Kovskiy, V. (2022). Combined Micromagnetic Simulation and Machine Learning Approach to Analysis of Polycrystalline Bilayer With Exchange Bias. IEEE Transactions on Magnetics, 58(2). https://doi.org/10.1109/TMAG.2021.3077288

Vancouver

Kulesh N, Permyakov N, Zverev V, Koshelev A, Bolyachkin A, Vas'Kovskiy V. Combined Micromagnetic Simulation and Machine Learning Approach to Analysis of Polycrystalline Bilayer With Exchange Bias. IEEE Transactions on Magnetics. 2022 Feb 1;58(2). doi: 10.1109/TMAG.2021.3077288

Author

Kulesh, N. ; Permyakov, N. ; Zverev, V. et al. / Combined Micromagnetic Simulation and Machine Learning Approach to Analysis of Polycrystalline Bilayer With Exchange Bias. In: IEEE Transactions on Magnetics. 2022 ; Vol. 58, No. 2.

BibTeX

@article{5e71fbc9abb143b6bbcbaae3a90d6142,
title = "Combined Micromagnetic Simulation and Machine Learning Approach to Analysis of Polycrystalline Bilayer With Exchange Bias",
keywords = "Exchange bias (EB), gradient boosting, machine learning (ML), micromagnetic simulation, Analytical models, Anisotropic magnetoresistance, Computational modeling, Coercive force, Magnetic hysteresis, Micromagnetics, Perpendicular magnetic anisotropy",
author = "N. Kulesh and N. Permyakov and V. Zverev and A. Koshelev and A. Bolyachkin and V. Vas'Kovskiy",
note = "Publisher Copyright: {\textcopyright} 1965-2012 IEEE.",
year = "2022",
month = feb,
day = "1",
doi = "10.1109/TMAG.2021.3077288",
language = "English",
volume = "58",
journal = "IEEE Transactions on Magnetics",
issn = "0018-9464",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
number = "2",

}

RIS

TY - JOUR

T1 - Combined Micromagnetic Simulation and Machine Learning Approach to Analysis of Polycrystalline Bilayer With Exchange Bias

AU - Kulesh, N.

AU - Permyakov, N.

AU - Zverev, V.

AU - Koshelev, A.

AU - Bolyachkin, A.

AU - Vas'Kovskiy, V.

N1 - Publisher Copyright: © 1965-2012 IEEE.

PY - 2022/2/1

Y1 - 2022/2/1

KW - Exchange bias (EB)

KW - gradient boosting

KW - machine learning (ML)

KW - micromagnetic simulation

KW - Analytical models

KW - Anisotropic magnetoresistance

KW - Computational modeling

KW - Coercive force

KW - Magnetic hysteresis

KW - Micromagnetics

KW - Perpendicular magnetic anisotropy

UR - http://www.scopus.com/inward/record.url?scp=85105553336&partnerID=8YFLogxK

UR - https://gateway.webofknowledge.com/gateway/Gateway.cgi?GWVersion=2&SrcAuth=tsmetrics&SrcApp=tsm_test&DestApp=WOS_CPL&DestLinkType=FullRecord&KeyUT=000745538100032

U2 - 10.1109/TMAG.2021.3077288

DO - 10.1109/TMAG.2021.3077288

M3 - Article

AN - SCOPUS:85105553336

VL - 58

JO - IEEE Transactions on Magnetics

JF - IEEE Transactions on Magnetics

SN - 0018-9464

IS - 2

ER -

ID: 29564850