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GitHub / kochlisGit / Physics-Informed-Neural-Network-PINN-Tensorflow
Implementation of a Physics Informed Neural Network (PINN) written in Tensorflow v2, which is capable of solving Partial Differential Equations.
Stars: 2
Forks: 3
Open Issues: 0
License: None
Language: Jupyter Notebook
Repo Size: 467 KB
Dependencies:
0
Created: about 2 years ago
Updated: over 1 year ago
Last pushed: about 2 years ago
Last synced: over 1 year ago
Topics: automatic-differentiation, boundary-conditions, calculus, deep-learning, gradients, hessian-matrix, initial-conditions, jacobian-matrix, machine-learning, mathematics, neural-network, optimization, ordinary-differential-equations, partial-differential-equations, physics, physics-informed-neural-networks, pinn, python, simulations-physics, tensorflow
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