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RISStress Representations for Tensor Basis Neural Networks: Alternative Formulations to Finger–Rivlin–Ericksen
Publisher: The American Society of Mechanical Engineers (ASME)
Abstract: Data-driven constitutive modeling frameworks based on neural networks and classical representation theorems have recently gained considerable attention due to their ability to easily incorporate constitutive constraints ...