GaneshShivalingappa / Parametric-NN-ModelsLinks
Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network
☆18Updated 3 months ago
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☆15Updated 2 years ago
- Physics-informed radial basis network☆30Updated last year
- ☆19Updated last year
- Physics-guided neural network framework for elastic plates☆39Updated 3 years ago
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆12Updated last year
- Physics-informed neural networks for identifying material properties in solid mechanics☆19Updated last year
- ☆39Updated last year
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆20Updated 2 years ago
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆13Updated last month
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆18Updated 3 weeks ago
- ☆52Updated 2 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆10Updated 9 months ago
- This repository contains code for a project that trains a neural network to solve solid mechanics problems faster than the traditional fi…☆12Updated last year
- Direct Mesh-free Topology Optimization using Neural Networks☆18Updated last year
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆38Updated 9 months ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 2 years ago
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆13Updated this week
- Various finite element implementations for composite laminate plates in MatLab☆11Updated 7 years ago
- A monte carlo simulation for the performance of composite laminate plates with stochastic material properties.☆13Updated 5 years ago
- Finite element method for linear and nonlinear beams and plates☆12Updated 7 years ago
- The reliability analysis is studied for stiffened Kirchhoff's plate bending using the Finite Element Method in MATLAB. We used the Hsieh-…☆13Updated 3 years ago
- Physics-informed neural network for fatigue crack propagation (Paris' law)☆16Updated 3 years ago
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆23Updated 3 years ago
- Kirchhoff and Mindlin Plates☆9Updated last year
- A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.☆18Updated 2 years ago
- Code and data for article "Learning nonlocal constitutive models with neural networks", CMAME☆11Updated 3 years ago
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆13Updated last year
- ☆21Updated 7 months ago
- Physics-informed deep learning for structural dynamics under moving load☆13Updated 8 months ago