Preface to the theme issue ‘Physics-informed machine learning and its structural integrity applications (Part 2)’

As an emerging research field, physics-informed machine learning and its structural integrity applications may bring new opportunities to the intelligent solution of engineering problems. Pure data-driven approaches have some limitations when solving engineering problems due to lack of interpretabil...

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Detalles Bibliográficos
Autores principales: Zhu, Shun-Peng, De Jesus, Abílio M. P., Berto, Filippo, Michopoulos, John G., Iacoviello, Francesco, Wang, Qingyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: The Royal Society 2024
Materias:
Preface
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657746/
https://www.ncbi.nlm.nih.gov/pubmed/37980930
http://dx.doi.org/10.1098/rsta.2023.0248

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10657746/
https://www.ncbi.nlm.nih.gov/pubmed/37980930
http://dx.doi.org/10.1098/rsta.2023.0248

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