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Physics-informed neural networks for solving forward and inverse problems in complex beam systems., , , and . CoRR, (2023)Neural Oscillators for Generalization of Physics-Informed Machine Learning., , , , , and . AAAI, page 13059-13067. AAAI Press, (2024)Predicting traction return current in electric railway systems through physics-informed neural networks., , , and . SSCI, page 1460-1468. IEEE, (2022)Physics-informed machine learning for moving load problems., , , and . CoRR, (2023)Neural oscillators for magnetic hysteresis modeling., , , , , , and . CoRR, (2023)Physics-Informed Neural Networks for Solving Forward and Inverse Problems in Complex Beam Systems., , , and . IEEE Trans. Neural Networks Learn. Syst., 35 (5): 5981-5995 (May 2024)Neural oscillators for generalization of physics-informed machine learning., , , , , and . CoRR, (2023)Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations., , , and . CoRR, (2023)Transfer learning for improved generalizability in causal physics-informed neural networks for beam simulations., , , and . Eng. Appl. Artif. Intell., (2024)