Special issue of computational mechanics on machine learning theories, modeling, and applications to computational materials science, additive manufacturing, mechanics of materials, design and optimization
- PMID: 37213791
- PMCID: PMC10132435
- DOI: 10.1007/s00466-023-02337-4
Special issue of computational mechanics on machine learning theories, modeling, and applications to computational materials science, additive manufacturing, mechanics of materials, design and optimization
References
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- Baker N, Alexander F, Bremer T, Hagberg A, Kevrekidis Y, Najm H, Parashar M, Patra A, Sethian J, Wild S, Willcox K (2019) Workshop report on basic research needs for scientific machine learning: core technologies for artificial intelligence. USDOE Office of Science (SC), Washington, DC (United States)
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- Liu WK, Gan Z, Fleming MA. Mechanistic data science for STEM education and applications. Cham: Springer; 2021.
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