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initial-conditions

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kochlisGit / Physics-Informed-Neural-Network-PINN-Tensorflow

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Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equations.

python machine-learning deep-learning calculus neural-network tensorflow optimization physics automatic-differentiation mathematics partial-differential-equations gradients ordinary-differential-equations boundary-conditions pinn initial-conditions simulations-physics jacobian-matrix physics-informed-neural-networks hessian-matrix
  • Updated Apr 26, 2022
  • Jupyter Notebook

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