jhbastek / PhysicsInformedShellStructuresLinks
Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)
☆39Updated 10 months ago
Alternatives and similar repositories for PhysicsInformedShellStructures
Users that are interested in PhysicsInformedShellStructures are comparing it to the libraries listed below
Sorting:
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆64Updated last month
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆14Updated last year
- Physics-guided neural network framework for elastic plates☆40Updated 3 years ago
- ☆40Updated last year
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆20Updated 2 years ago
- Physics-informed radial basis network☆30Updated last year
- ☆19Updated last year
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆50Updated 4 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- ☆53Updated 2 years ago
- Physics-informed neural networks for identifying material properties in solid mechanics☆19Updated last year
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- Multifidelity DeepONet☆33Updated last year
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- Adaptive phase field modeling of fracture using deep energy minimization.☆32Updated 4 years ago
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 3 years ago
- ☆38Updated 3 years ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆39Updated last week
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆55Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆23Updated last week
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆12Updated last year
- ☆11Updated last year
- Thermodynamics-based Artificial Neural Networks☆26Updated 2 years ago
- ☆13Updated last year
- POD-PINN code and manuscript☆51Updated 7 months ago
- ☆21Updated 7 months ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 3 months ago
- ☆9Updated 7 months ago
- Burgers equation solved by PINN in PyTorch☆22Updated 3 years ago
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆12Updated 2 years ago