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CITATION.cff
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# This CITATION.cff file was generated with cffinit.
# Visit https://bit.ly/cffinit to generate yours today!
cff-version: 1.2.0
title: >-
Hardcore: H-field and power loss estimation for arbitrary
waveforms with residual, dilated convolutional neural
networks in ferrite cores
message: >-
MagNet Challenge 2023 Winning Solution (1st Place Model
Performance)
type: software
authors:
- given-names: Wilhelm
family-names: Kirchgässner
orcid: 'https://orcid.org/0000-0001-9490-1843'
affiliation: Paderborn University
- given-names: Nikolas
family-names: Förster
affiliation: Paderborn University
- given-names: Till
family-names: Piepenbrock
affiliation: Paderborn University
- given-names: Oliver
family-names: Schweins
affiliation: Paderborn University
- given-names: Oliver
family-names: Wallscheid
affiliation: Siegen University
orcid: 'https://orcid.org/0000-0001-9362-8777'
identifiers:
- type: url
value: 'https://arxiv.org/abs/2401.11488'
description: arXiv 2401.11488
repository-code: 'https://github.com/upb-lea/hardcore-magnet-challenge'
abstract: >-
Winning solution to the IEEE PELS MagNet challenge 2023
(1st Place Model Performance Category)
keywords:
- magnetics
- neural networks
- machine learning
- artificial intelligence
- transformer
- power electronics
license: MIT