MeshfreeFlowNet: Physical Constrained Space Time Super-Resolution
☆108Jan 28, 2021Updated 5 years ago
Alternatives and similar repositories for space_time_pde
Users that are interested in space_time_pde are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Code and data for paper named: Large language models for automatic equation discovery of nonlinear dynamics☆13Mar 6, 2025Updated last year
- ☆130Mar 28, 2023Updated 2 years ago
- DiffNet: A FEM based neural PDE solver package☆12Apr 9, 2024Updated last year
- Turbulent flow network source code☆72Mar 14, 2025Updated last year
- Code for the FiniteNet ICML Paper☆18Feb 7, 2020Updated 6 years ago
- DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- ☆67Mar 21, 2025Updated last year
- Data-driven Identification of 2D Partial Differential Equations using Extracted Physical Features☆12Apr 23, 2021Updated 4 years ago
- Prediction of turbulent heat transfer using convolutional neural networks (CNNs)☆22Jan 22, 2023Updated 3 years ago
- Large Eddy Simulation with dedalus☆38Apr 1, 2019Updated 6 years ago
- [NeurIPS 2021] Galerkin Transformer: Neural Operator built on Attention for PDEs☆257Jun 14, 2024Updated last year
- [ICLR23] First deep learning-based surrogate model that jointly learns the evolution model and optimizes computational cost via remeshing☆42Jan 30, 2024Updated 2 years ago
- Use of Turbulence Model (Spalart-Allmaras) with PINNs for mean flow reconstruction☆12Mar 13, 2024Updated 2 years ago
- Laminar flow prediction using graph neural networks☆32Jan 17, 2025Updated last year
- Implementation of our ICLR paper: https://openreview.net/pdf?id=By4HsfWAZ☆59Apr 25, 2019Updated 6 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆16Jan 10, 2022Updated 4 years ago
- Tensor Basis Neural Network for Scalar Mixing☆10Mar 24, 2023Updated 3 years ago
- Code for "Robust flow field reconstruction from limited measurements vis sparse representation" (J. Callaham, K. Maeda, and S. Brunton 20…☆14Oct 23, 2018Updated 7 years ago
- Official PyTorch implementation of "Physics-aware Difference Graph Networks for Sparsely-Observed Dynamics" (https://openreview.net/forum…☆51Feb 19, 2020Updated 6 years ago
- LES-ML closures for Kraichnan turbulence☆19Feb 3, 2020Updated 6 years ago
- DDSL: Deep Differential Simplex Layer for Neural Networks☆56Feb 8, 2021Updated 5 years ago
- LE-PDE accelerates PDEs' forward simulation and inverse optimization via latent global evolution, achieving significant speedup with SOTA…☆29Jan 30, 2024Updated 2 years ago
- Physics-informed deep super-resolution of spatiotemporal data☆49Sep 5, 2023Updated 2 years ago
- Deep Learning of Turbulent Scalar Mixing☆17Oct 6, 2019Updated 6 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click and start building anything your business needs.
- Official implementation of mesh neural networks for SE(3)-equivariant hemodynamics estimation on the artery wall☆57Aug 27, 2025Updated 7 months ago
- Code for "Learning data-driven discretizations for partial differential equations"☆166Aug 19, 2025Updated 7 months ago
- Spherical CNNs on Unstructured Grids Using Parameterized Differential Operators☆170Sep 18, 2023Updated 2 years ago
- Source code for "Probabilistic neural networks for fluid flow model-order reduction and data recovery"☆11Sep 19, 2020Updated 5 years ago
- ☆195May 10, 2021Updated 4 years ago
- A flexible framework for solving PDEs with modern spectral methods.☆672Mar 17, 2026Updated last week
- A Deep Learning based Approach to Reduced Order Modeling for Turbulent Flow Control using LSTM Neural Networks. arXiv:1804.09269☆45May 2, 2018Updated 7 years ago
- 1D RANS model simulation at fully developed turbulent channel flow.☆19Jan 20, 2017Updated 9 years ago
- ☆15Nov 20, 2023Updated 2 years ago
- NordVPN Special Discount Offer • AdSave on top-rated NordVPN 1 or 2-year plans with secure browsing, privacy protection, and support for for all major platforms.
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93May 11, 2022Updated 3 years ago
- ☆24Feb 13, 2023Updated 3 years ago
- Source code for deep learning-based reduced order models for nonlinear time-dependent parametrized PDEs. Available on doi.org/10.1007/s10…☆27Sep 7, 2023Updated 2 years ago
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆16Dec 24, 2025Updated 3 months ago
- ☆63Jul 24, 2019Updated 6 years ago
- Using graph network to solve PDEs☆438Jun 2, 2025Updated 9 months ago
- Example problems and snippets of code to demonstrate ParaView's Catalyst.☆19May 18, 2016Updated 9 years ago