Physics Informed Neural Networks (PINNs) are neural networks that are trained to solve supervised learning tasks while respecting any given law of physics described by general nonlinear partial differential equations.

Keywords: physics, deep learning, neural networks, nonlinear partial differential equations, PDEs, Python, TensorFlow

• Physics Informed Deep Learning (Part I): Data-driven Solutions of Nonlinear Partial Differential Equations

• Physics Informed Deep Learning (Part II): Data-driven Discovery of Nonlinear Partial Differential Equations

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