GaneshShivalingappa / Parametric-NN-ModelsLinks
Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network
☆19Updated last week
Alternatives and similar repositories for Parametric-NN-Models
Users that are interested in Parametric-NN-Models are comparing it to the libraries listed below
Sorting:
- FEM enhanced neural network☆20Updated 3 years ago
- ☆20Updated last year
- Finite element method for linear and nonlinear beams and plates☆13Updated 7 years ago
- ☆46Updated 2 years ago
- Physics-informed radial basis network☆33Updated last year
- Direct Mesh-free Topology Optimization using Neural Networks☆20Updated 2 years ago
- Physics-guided neural network framework for elastic plates☆48Updated 3 years ago
- A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.☆22Updated 2 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated 2 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆26Updated 2 years ago
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆15Updated 2 years ago
- ☆59Updated 2 years ago
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆24Updated 4 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆57Updated last year
- Physics-informed neural network for fatigue crack propagation (Paris' law)☆18Updated 3 years ago
- This repository implements Physics-Informed Neural Networks (PINNs) for slope stability analysis based on the Mohr-Coulomb failure criter…☆11Updated 4 months ago
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆18Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago
- Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity☆18Updated 8 months ago
- MATLAB codes for the RPIM-NNS☆13Updated last year
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆13Updated last year
- A finite element code for prediction of the response of viscoelastic materials☆13Updated 2 years ago
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆53Updated 4 years ago
- The reliability analysis is studied for stiffened Kirchhoff's plate bending using the Finite Element Method in MATLAB. We used the Hsieh-…☆14Updated 4 years ago
- Soving heat transfer problems using PINN with tf2.0☆20Updated 4 years ago
- ☆25Updated last year
- PINN for heat transfer problems☆20Updated 4 years ago
- ☆44Updated 3 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆23Updated 2 years ago