hitcslj / Awesome-Engineer-Design
A curated list of awesome engineer design papers, including airfoil design, 3D print, CAD design
☆19Updated 6 months ago
Alternatives and similar repositories for Awesome-Engineer-Design:
Users that are interested in Awesome-Engineer-Design are comparing it to the libraries listed below
- Code repo for CoNFiLD: Conditional Neural Field Latent Diffusion Model Generating Spatiotemporal Turbulence☆32Updated last month
- [NeurIPS 2024] AFBench: A Large-scale Benchmark for Airfoil Design☆22Updated 6 months ago
- Point-cloud deep learning for prediction of fluid flow fields on irregular geometries (supervised learning)☆26Updated this week
- ☆15Updated 3 months ago
- Physics-informed radial basis network☆30Updated 10 months ago
- ☆27Updated last month
- Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)☆17Updated last year
- This repository is for the master thesis project: "DiffFluids: A Diffusion-based Generative Model for Fluid Simulations"☆11Updated last year
- A small research project about advanced machine learning with neural networks. The Fourier neural operator was implemented here to see if…☆20Updated last year
- ☆11Updated 11 months ago
- In this repository, you will find the different python scripts to train the available models on the AirfRANS dataset proposed at the Neur…☆48Updated 2 months ago
- Code for reproducing the experiments in the paper "On Conditional Diffusion Models for PDE Simulations".☆18Updated 4 months ago
- Source code of "Learning nonlinear operators in latent spaces for real-time predictions of complex dynamics in physical systems."☆58Updated 8 months ago
- Modified Meshgraphnets with more features☆39Updated last month
- this repository mainly descript how use vision transfrmer encode airfoil to latent code☆20Updated 2 months ago
- This is the implementation of the RecFNO.☆18Updated 2 years ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Updated 6 years ago
- Official implementation of "PhyGNNet: Solving spatiotemporal PDEs with Physics-informed Graph Neural Network"☆41Updated last year
- Generative turbulence model TurbDiff as proposed in "From Zero to Turbulence: Generative Modeling for 3D Flow Simulation", ICLR 2024☆19Updated last month
- The MegaFlow2D dataset package☆19Updated last year
- ☆55Updated last week
- ☆40Updated last year
- PyTorch implemention of the Position-induced Transformer for operator learning in partial differential equations☆17Updated 5 months ago
- Data preprocess method on Physics-informed neural networks☆13Updated last month
- PyTorch implementation of the diffusion-based method for CFD data super-resolution proposed in the paper "A Physics-informed Diffusion Mo…☆166Updated last year
- About code release of "Transolver: A Fast Transformer Solver for PDEs on General Geometries", ICML 2024 Spotlight. https://arxiv.org/abs/…☆136Updated last month
- Physics-informed neural networks for identifying material properties in solid mechanics☆17Updated last year
- Code for orthogonal neural operator☆14Updated last year
- Hidden Fluid Mechanics in PyTorch☆15Updated last year
- Multi-head attention network for airfoil flow field prediction☆12Updated 2 years ago