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Can physics-informed neural networks beat the finite element method?
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Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations
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A review on physics-informed data-driven remaining useful life prediction: Challenges and opportunities
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Machine learning for metal additive manufacturing: Towards a physics-informed data-driven paradigm
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Physics-informed machine learning for reliability and systems safety applications: State of the art and challenges
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Physics-informed machine learning
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