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Multi-fidelity surrogates for mechanics of composites: from co-kriging to multi-fidelity neural networks

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Published in:ArXiv cs.LG Recent Papers
Format: Online Article RSS Article
Published: 2026
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container_title ArXiv cs.LG Recent Papers
description
discipline_display Engineering & Technology
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format Online Article
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genre Journal Article
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institution FRELIP
journal_source_facet ArXiv cs.LG Recent Papers
publishDate 2026
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record_format rss_article
spellingShingle Multi-fidelity surrogates for mechanics of composites: from co-kriging to multi-fidelity neural networks
ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
sub_discipline_display Petroleum & Energy
sub_discipline_facet Petroleum & Energy
subject_display ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
subject_facet ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
title Multi-fidelity surrogates for mechanics of composites: from co-kriging to multi-fidelity neural networks
title_auth Multi-fidelity surrogates for mechanics of composites: from co-kriging to multi-fidelity neural networks
title_full Multi-fidelity surrogates for mechanics of composites: from co-kriging to multi-fidelity neural networks
title_fullStr Multi-fidelity surrogates for mechanics of composites: from co-kriging to multi-fidelity neural networks
title_full_unstemmed Multi-fidelity surrogates for mechanics of composites: from co-kriging to multi-fidelity neural networks
title_short Multi-fidelity surrogates for mechanics of composites: from co-kriging to multi-fidelity neural networks
title_sort multi-fidelity surrogates for mechanics of composites: from co-kriging to multi-fidelity neural networks
topic ArXiv cs.LG Recent Papers
Petroleum & Energy
Engineering & Technology
url https://arxiv.org/abs/2605.02871v1