Constraint free physics-informed machine learning for micromagnetic energy minimization-Reference-Cited by-同舟云学术

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Constraint free physics-informed machine learning for micromagnetic energy minimization

Published:2024-07 Issue: Volume:300 Page:109202
ISSN:0010-4655
Container-title:Computer Physics Communications
language:en
Short-container-title:Computer Physics Communications

Author:

Schaffer Sebastian^ORCID,Exl Lukas

Funder

Universität Wien

Austrian Science Fund

Publisher

Elsevier BV

Reference58 articles.

1. Numerical methods for the stray-field calculation: a comparison of recently developed algorithms;Abert;J. Magn. Magn. Mater.,2013

2. Head and bit patterned media optimization at areal densities of 2.5 Tbit/in2 and beyond;Bashir;J. Magn. Magn. Mater.,2012

3. Magtense: a micromagnetic framework using the analytical demagnetization tensor;Bjørk;J. Magn. Magn. Mater.,2021

4. JAX: Composable Transformations of Python+NumPy Programs;Bradbury,2018

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Electromagnetic Reconstruction Based on Hs-Mnet Neural Network for the Heterogeneous Cavity with Impedance Boundary;2024

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