Abstract: This article proposes a new framework using physics-informed neural networks (PINNs) to simulate complex structural systems that consist of single and double beams based on Euler–Bernoulli ...
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Abstract: Physics-informed neural networks (PINNs) provide a flexible framework for solving neutron diffusion equations (NDEs), yet their accuracy and stability are often hindered by limited spatial ...
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