arXiv paper: Interval and fuzzy physics-augmented neural networks (iPANN and fPANN) for uncertainty quantification and propagation in constitutive modeling
A new arXiv AI paper by Somesh Pratap Singh, Govinda Anantha Padmanabha, and Jingye Tan, and 4 more studies Interval and fuzzy physics-augmented neural networks (iPANN and fPANN) for uncertainty quantification and propagation in constitutive modeling.
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