Multitask Learning for Estimation of Magnetic Parameters Using Pattern Recognition

Multitask Learning for Estimation of Magnetic Parameters Using Pattern Recognition

Machine learning (ML) approaches present an effective technique for accurately and efficiently predicting device parameters. Using these techniques, we introduce a multi-task convolutional neural network (CNN) model and support vector regression (SVR) model that is intended to precisely estimate two...

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Bibliographic Details
Main Authors: Anubha Sehgal, Shipra Saini, Hemkant Nehete, Kunal Kranti Das, Sourajeet Roy, Brajesh Kumar Kaushik
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Open Journal of Nanotechnology
Subjects:
Machine learning
pattern recognition
micromagnetic
Dzyaloshinskii Moriya interaction
parameter estimation
exchange stiffness
Online Access:https://ieeexplore.ieee.org/document/10748362/
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