Coefficient Extraction of SAC305 Solder Constitutive Equations Using Equation-Informed Neural Networks

Equation-Informed Neural Networks (EINNs) are developed as an efficient method for extracting the coefficients of constitutive equations. Subsequently, numerical Bayesian Inference (BI) iterations were applied to estimate the distribution of these coefficients, thereby further refining them. We coul...

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Detalles Bibliográficos
Autores principales: Yuan, Cadmus, Su, Qinghua, Chiang, Kuo-Ning
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381129/
https://www.ncbi.nlm.nih.gov/pubmed/37512197
http://dx.doi.org/10.3390/ma16144922

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10381129/
https://www.ncbi.nlm.nih.gov/pubmed/37512197
http://dx.doi.org/10.3390/ma16144922

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