GaneshShivalingappa / Parametric-NN-ModelsLinks
Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network
☆18Updated 5 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☆17Updated 2 years ago
- ☆19Updated last year
- Finite element method for linear and nonlinear beams and plates☆11Updated 7 years ago
- Direct Mesh-free Topology Optimization using Neural Networks☆19Updated last year
- ☆42Updated last year
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆12Updated last year
- ☆55Updated 2 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆42Updated last year
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆18Updated 3 weeks ago
- Physics-informed radial basis network☆31Updated last year
- Physics-guided neural network framework for elastic plates☆45Updated 3 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆21Updated 2 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆23Updated 2 years ago
- A Jupyter Notebook implementation of Physics-informed neural network to solve solid mechanics problem.☆19Updated 2 years ago
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆18Updated 3 months ago
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆17Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago
- ☆22Updated 9 months ago
- Physics-informed neural network for fatigue crack propagation (Paris' law)☆16Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- PINNs-MPF is a comprehensive framework designed for simulating interface dynamics using Physics-Informed Neural Networks (PINNs). Leverag…☆16Updated 4 months ago
- ☆41Updated 3 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆66Updated 3 months ago
- Second and fourth-order adaptive phase field modeling of fracture using PHT-splines in the framework of IGA.☆52Updated 4 years ago
- Neural network hyperelastic constitutive modeling of anisotropic materials. Includes UMAT☆24Updated 4 years ago
- A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.☆29Updated 6 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 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-…☆13Updated 3 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆12Updated 11 months ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆11Updated last month