Learning thermoacoustic interactions in combustors using a physics-informed neural network

Adam: A Method for Stochastic Optimization

Diederik P. Kingma, Jimmy Ba · UvA-DARE (University of Amsterdam) · 2014 · 84.8K citations · Full text

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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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Nonlinear Dynamics and Chaos: With Applications to Physics, Biology, Chemistry, and Engineering

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Scientific Machine Learning Through Physics–Informed Neural Networks: Where we are and What’s Next

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Automatic differentiation in machine learning: a survey

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