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An approach to encode divergence-free stress fields in neural approximations based on stress potentials

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Published in:ArXiv cs.CE Recent Papers
Format: Online Article RSS Article
Published: 2026
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spellingShingle An approach to encode divergence-free stress fields in neural approximations based on stress potentials
ArXiv cs.CE Recent Papers
Aerospace & Aeronautical
Engineering & Technology
sub_discipline_display Aerospace & Aeronautical
sub_discipline_facet Aerospace & Aeronautical
subject_display ArXiv cs.CE Recent Papers
Aerospace & Aeronautical
Engineering & Technology
ArXiv cs.CE Recent Papers
Aerospace & Aeronautical
Engineering & Technology
subject_facet ArXiv cs.CE Recent Papers
Aerospace & Aeronautical
Engineering & Technology
title An approach to encode divergence-free stress fields in neural approximations based on stress potentials
title_auth An approach to encode divergence-free stress fields in neural approximations based on stress potentials
title_full An approach to encode divergence-free stress fields in neural approximations based on stress potentials
title_fullStr An approach to encode divergence-free stress fields in neural approximations based on stress potentials
title_full_unstemmed An approach to encode divergence-free stress fields in neural approximations based on stress potentials
title_short An approach to encode divergence-free stress fields in neural approximations based on stress potentials
title_sort an approach to encode divergence-free stress fields in neural approximations based on stress potentials
topic ArXiv cs.CE Recent Papers
Aerospace & Aeronautical
Engineering & Technology
url https://arxiv.org/abs/2605.00509v1