phyml4e / PINNs
☆18Updated last year
Alternatives and similar repositories for PINNs:
Users that are interested in PINNs are comparing it to the libraries listed below
- Physics-guided neural network framework for elastic plates☆38Updated 3 years ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated last month
- ☆51Updated last year
- ☆39Updated last year
- Physics-informed radial basis network☆30Updated 11 months ago
- ☆37Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 2 years ago
- FEM enhanced neural network☆15Updated 2 years ago
- Physics-informed neural networks for identifying material properties in solid mechanics☆18Updated last year
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆36Updated 8 months ago
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆11Updated 7 months ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆58Updated 3 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆29Updated 3 years ago
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆11Updated last year
- Adaptive phase field modeling of fracture using deep energy minimization.☆32Updated 4 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆19Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆21Updated 4 months ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆25Updated last year
- POD-PINN code and manuscript☆51Updated 5 months ago
- Implementation of Physics-Informed Neural Networks for Computational Mechanics based on the DeepXDE package.☆36Updated last week
- ☆8Updated 5 months ago
- Multifidelity DeepONet☆31Updated last year
- Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity☆16Updated last month
- Computational Homogenization calculation in macroscopic and microscopic structurures. The microscopic BVPs are solved by FFT method. The …☆18Updated 9 months ago
- ☆10Updated last year
- Implementation of a ResUNet-based DeepONet for predicting stress distribution on variable input geometries subject to variable loads. A R…☆13Updated last year
- Automated representative volume element simulator via abaqus for material constitutive law discovery☆20Updated 2 months ago
- Neural Network Approach for Elastoplastic Constitutive Modeling☆25Updated last year
- XPINN code written in TensorFlow 2☆27Updated 2 years ago