Physics-informed neural networks for two-phase flow problems
☆77Oct 2, 2025Updated 9 months ago
Alternatives and similar repositories for twophasePINN
Users that are interested in twophasePINN are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Application of a Physics Informed Neural Network to a two phase flow in porous media problem☆28Oct 11, 2019Updated 6 years ago
- ☆17Apr 18, 2024Updated 2 years ago
- Physics-informed neural network for solving fluid dynamics problems☆284Jan 28, 2021Updated 5 years ago
- Implementing physics informed neural networks (PINN) in PyTorch to solve turbulent flows using the Navier-Stokes equations☆29May 17, 2024Updated 2 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆42May 12, 2022Updated 4 years ago
- Open source password manager - Proton Pass • AdSecurely store, share, and autofill your credentials with Proton Pass, the end-to-end encrypted password manager trusted by millions.
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆98Apr 4, 2024Updated 2 years ago
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆30May 8, 2023Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆204Apr 7, 2024Updated 2 years ago
- Prediction of Fluid Flow in Porous Media by Sparse Observations and Physics-Informed PointNet☆16Aug 24, 2024Updated last year
- CFD solve on a current quantum computer☆16Dec 25, 2024Updated last year
- Blood Flow Modeling with Physics-Informed Neural Networks☆21Jan 10, 2023Updated 3 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆24Nov 29, 2022Updated 3 years ago
- ☆19Jul 9, 2025Updated last year
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ML-based Surrogate Models to enhance CFD solvers by solving the Pressure Poisson Equation☆11Jan 15, 2026Updated 6 months ago
- Project: Efficient upscaling of geologic model based on theory-guided encoder-decoder☆12Jun 23, 2021Updated 5 years ago
- Physics informed neural network (PINN) for cavity flow governed by Navier-Stokes equation.☆163Jul 16, 2020Updated 6 years ago
- Thoughts about ML committee for OpenFOAM☆44Jul 28, 2022Updated 3 years ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆13Nov 17, 2022Updated 3 years ago
- Massively-parallelised Navier-Stokes solver with a volume-of-fluid method for bubbly flows☆11Sep 13, 2025Updated 10 months ago
- To address some of the failure modes in training of physics informed neural networks, a Lagrangian architecture is designed to conform to…☆52Jan 10, 2023Updated 3 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆63May 16, 2024Updated 2 years ago
- Machine Learning enhanced CFD solvers: isothermal & thermal fluid flow☆25Jul 3, 2026Updated 2 weeks ago
- AI Agents on 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.
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆34Aug 11, 2023Updated 2 years ago
- ☆13May 31, 2023Updated 3 years ago
- Graph Convolutional Networks for Unstructured Flow Fields☆14Sep 5, 2022Updated 3 years ago
- Basic implementation of physics-informed neural network with pytorch.☆101Sep 26, 2022Updated 3 years ago
- A physics-informed deep learning architecture for inferring bubble dynamics☆16May 18, 2023Updated 3 years ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆24Nov 8, 2022Updated 3 years ago
- PINN (Physics-Informed Neural Networks) on Navier-Stokes Equations☆145Oct 24, 2025Updated 8 months ago
- PINN for obtaining WSS from sparse data☆77Feb 21, 2024Updated 2 years ago
- Python code for simulations of 2D gas-liquid multiphase flows using Front-Tracking type method.☆16Jul 27, 2020Updated 5 years ago
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Near-term quantum algorithm benchmarking for PDEs☆13Jun 6, 2024Updated 2 years ago
- Using deep reinforcement learning for refining meshes in computational fluid dynamics☆31Aug 7, 2023Updated 2 years ago
- 复现CICP论文提出的几种改进PINN性能的方法☆27Jul 2, 2025Updated last year
- ☆100Nov 25, 2024Updated last year
- Official implementation of *A Unified Hard-Constraint Framework for Solving Geometrically Complex PDEs*☆20Mar 4, 2023Updated 3 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆169May 15, 2024Updated 2 years ago
- Competitive Physics Informed Networks☆31Sep 21, 2024Updated last year