JiamingSkGrey / GotFlow3DLinks
☆24Updated 2 years ago
Alternatives and similar repositories for GotFlow3D
Users that are interested in GotFlow3D are comparing it to the libraries listed below
Sorting:
- Codes for paper "Automatic Parameterization for Aerodynamic Shape Optimization via Deep Geometric Learning", published on AIAA Aviation F…☆19Updated last year
- Point-cloud deep learning for prediction of fluid flow fields on irregular geometries (supervised learning)☆31Updated 3 weeks ago
- AeroGTO: An Efficient Graph-Transformer Operator for Learning Large-Scale Aerodynamics of 3D Vehicle Geometries☆13Updated last month
- ☆10Updated last year
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆48Updated 4 months ago
- A curated list of awesome engineer design papers, including airfoil design, 3D print, CAD design☆22Updated 9 months ago
- ☆42Updated 4 months ago
- ☆32Updated last week
- Recent Advances on Machine Learning for Computational Fluid Dynamics: A Survey☆193Updated last month
- Modified Meshgraphnets with more features☆51Updated 5 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆63Updated 2 months ago
- ODIL (Optimizing a Discrete Loss) is a Python framework for solving inverse and data assimilation problems for partial differential equat…☆106Updated 3 months ago
- Code for "Beyond Regular Grids: Fourier-Based Neural Operators on Arbitrary Domains"☆20Updated last year
- Accelerating Physics Informed Neural Networks (PINNs) using Meshless Discretizations☆27Updated 2 years ago
- Coupled-Automatic-Numerical differentiation scheme for physics-informed neural network (can-PINN)☆29Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆48Updated last year
- Surrogate Modeling of the Aerodynamic Performance for Transonic Regime☆11Updated last year
- PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Mo…☆194Updated 2 years ago
- Physics-informed deep super-resolution of spatiotemporal data☆46Updated last year
- Time- and space-continuous neural PDE forecaster based on INRs and ODEs☆68Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆70Updated last year
- Encoding physics to learn reaction-diffusion processes☆101Updated last year
- ☆56Updated 5 months ago
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆26Updated 4 months ago
- ☆111Updated 5 months ago
- Code for Mesh Transformer describes in the EAGLE dataset☆42Updated 4 months ago
- Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- param…☆22Updated 3 years ago
- ☆34Updated last month
- [ICLR 2025] Neural Operator-Assisted Computational Fluid Dynamics in PyTorch☆45Updated 3 weeks ago
- Multi-head attention network for airfoil flow field prediction☆13Updated 2 years ago