amir-cardiolab / PINN_multiphysics_multifidelityLinks
☆38Updated 3 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
Sorting:
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- Multi-fidelity reduced-order surrogate modeling☆23Updated last month
- Physics-guided neural network framework for elastic plates☆39Updated 3 years ago
- Multifidelity DeepONet☆33Updated last year
- ☆19Updated last year
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆18Updated 2 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆64Updated 2 weeks ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆25Updated 4 months ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆38Updated 9 months ago
- ☆17Updated 7 months ago
- A convolutional neural network for drag prediction in laminar flows☆14Updated 4 years ago
- Physics-informed neural networks for identifying material properties in solid mechanics☆19Updated last year
- ☆70Updated 6 months ago
- POD-PINN code and manuscript☆51Updated 6 months ago
- Physics-informed radial basis network☆30Updated last year
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 3 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆47Updated last year
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆24Updated 2 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆65Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- ☆39Updated last year
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆26Updated 2 years ago
- Python tools for non-intrusive reduced order modeling☆19Updated 2 months ago
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆31Updated 4 years ago
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆22Updated last year
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆30Updated last year
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆72Updated last year