Data publishing in mechanics and dynamics: challenges, guidelines, and examples from engineering design

Data publishing in mechanics and dynamics: challenges, guidelines, and examples from engineering design

Data-based methods have gained increasing importance in engineering. Success stories are prevalent in areas such as data-driven modeling, control, and automation, as well as surrogate modeling for accelerated simulation. Beyond engineering, generative and large-language models are increasingly helpi...

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Bibliographic Details
Main Authors: Henrik Ebel, Jan van Delden, Timo Lüddecke, Aditya Borse, Rutwik Gulakala, Marcus Stoffel, Manish Yadav, Merten Stender, Leon Schindler, Kristin Miriam de Payrebrune, Maximilian Raff, C. David Remy, Benedict Röder, Rohit Raj, Tobias Rentschler, Alexander Tismer, Stefan Riedelbauch, Peter Eberhard
Format: Article
Language:English
Published: Cambridge University Press 2025-01-01
Series:Data-Centric Engineering
Subjects:
data publishing
dynamics
generative design
machine learning
mechanics
Online Access:https://www.cambridge.org/core/product/identifier/S2632673625000139/type/journal_article
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