amir-cardiolab / PINN_multiphysics_multifidelity
☆34Updated 2 years ago
Alternatives and similar repositories for PINN_multiphysics_multifidelity:
Users that are interested in PINN_multiphysics_multifidelity are comparing it to the libraries listed below
- Physics-guided neural network framework for elastic plates☆34Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆19Updated 2 months ago
- POD-PINN code and manuscript☆47Updated 3 months ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆28Updated 10 months ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆62Updated 10 months ago
- ☆62Updated 2 months ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆34Updated 6 months ago
- ☆17Updated 11 months ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆54Updated 3 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆22Updated last month
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Physics-informed radial basis network☆29Updated 9 months ago
- Multifidelity DeepONet☆27Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆39Updated 9 months ago
- Physics-informed neural networks for identifying material properties in solid mechanics☆16Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆50Updated 4 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆22Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆20Updated 2 years ago
- I am doing a surrogate optimization of a transonic airfoil. I am using an artificial neural network as my surrogate model to approximate …☆8Updated 3 years ago
- ☆37Updated last year
- We propose a conservative physics-informed neural network (cPINN) on decompose domains for nonlinear conservation laws. The conservation …☆63Updated 2 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆62Updated 3 years ago
- Physics-informed neural networks for two-phase flow problems☆51Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆27Updated 3 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆59Updated last year
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆16Updated 2 years ago
- A convolutional neural network for drag prediction in laminar flows☆12Updated 4 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆26Updated 4 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆26Updated last year