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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...
Autores principales: | Zhu, Shun-Peng, De Jesus, Abílio M. P., Berto, Filippo, Michopoulos, John G., Iacoviello, Francesco, Wang, Qingyuan |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2024
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Materias: | |
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 |
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