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has opened new perspectives. Neural networks, particularly deep architectures, have demonstrated remarkable capabilities in learning complex nonlinear mappings. Physics-informed neural networks (PINNs
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, Mechanics of Materials, Elasto-Plasticity Topic open: Model-free data-driven approaches offer an interesting alternative to classical constitutive model-based approaches, and to machine-learning approaches
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