cfl-minds / cnn_drag_predictionLinks
A convolutional neural network for drag prediction in laminar flows
☆14Updated 4 years ago
Alternatives and similar repositories for cnn_drag_prediction
Users that are interested in cnn_drag_prediction are comparing it to the libraries listed below
Sorting:
- ☆38Updated 3 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 4 years ago
- Multi-fidelity reduced-order surrogate modeling☆23Updated last month
- POD-PINN code and manuscript☆51Updated 6 months ago
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆32Updated last year
- ☆70Updated 6 months ago
- XPINN code written in TensorFlow 2☆27Updated 2 years ago
- ☆17Updated 7 months ago
- ☆19Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆31Updated 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…☆64Updated 2 weeks ago
- Soving heat transfer problems using PINN with tf2.0☆19Updated 3 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆18Updated 2 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- 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
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Burgers equation solved by PINN in PyTorch☆21Updated 3 years ago
- multi-fidelity neural network☆18Updated last year
- Physics-guided neural network framework for elastic plates☆39Updated 3 years ago
- Code for 'Physics-Informed Neural Networks for Shell Structures'☆38Updated 9 months ago
- Physics-informed neural networks for two-phase flow problems☆61Updated 3 weeks ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆72Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆55Updated 4 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆47Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆52Updated 3 years ago
- Multifidelity DeepONet☆33Updated last year
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆22Updated last year
- ☆37Updated last year
- Multi-head attention network for airfoil flow field prediction☆13Updated 2 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆31Updated 3 years ago