Jianxun-Wang / PICNNSRView external linksLinks
Super-resolution and denoising of fluid flow using physics-informed convolutional neural networks without high-resolution labels -- parametric forward SR and boundary inference
☆23Aug 2, 2021Updated 4 years ago
Alternatives and similar repositories for PICNNSR
Users that are interested in PICNNSR are comparing it to the libraries listed below
Sorting:
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- ☆12Dec 13, 2024Updated last year
- Towards Physics-informed Deep Learning for Turbulent Flow Prediction☆27Oct 18, 2021Updated 4 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
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆17May 14, 2021Updated 4 years ago
- Deep Learning based method to try and learn the problem of inverse Navier Stokes and model the flow for an oscillating airfoil.☆24Jun 7, 2020Updated 5 years ago
- Deep learning framework for model reduction of dynamical systems☆21Dec 31, 2020Updated 5 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Jan 24, 2021Updated 5 years ago
- ☆63Mar 22, 2023Updated 2 years ago
- Code for paper "Beyond Closure Models: Learning Chaotic Systems via Physics-Informed Neural Operators".☆14Dec 24, 2025Updated last month
- ☆49Aug 19, 2025Updated 5 months ago
- ☆11Jan 7, 2025Updated last year
- Physics-informed deep super-resolution of spatiotemporal data☆49Sep 5, 2023Updated 2 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆23Nov 29, 2022Updated 3 years ago
- Data preprocess method on Physics-informed neural networks☆28Feb 21, 2025Updated 11 months ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆37Jan 13, 2021Updated 5 years ago
- Implementation of physics-informed PointNet (PIPN) for weakly-supervised learning of incompressible flows and thermal fields on irregular…☆14Jun 27, 2025Updated 7 months ago
- Solve mass spring damper system with phyics-informed neural networks in MATLAB☆15Sep 9, 2024Updated last year
- Example case for OpenFOAM overset meshing with dynamic meshes. This case has two contra rotating 60mm propellers that are inline with one…☆10May 3, 2021Updated 4 years ago
- Learning two-phase microstructure evolution using neural operators and autoencoder architectures☆26Apr 25, 2024Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆25May 30, 2023Updated 2 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
- ML-based Surrogate Models to enhance CFD solvers by solving the Pressure Poisson Equation☆10Jan 15, 2026Updated last month
- POD-PINN code and manuscript☆57Nov 10, 2024Updated last year
- ☆16Oct 29, 2023Updated 2 years ago
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆12Nov 4, 2024Updated last year
- Simple programs used with the SimVascular application suite.☆12Oct 6, 2022Updated 3 years ago
- Physcial Informed Extreme Learning Machine(PIELM) method to solve PDEs, such as Possion problem☆17Dec 6, 2024Updated last year
- Laminar flow prediction using graph neural networks☆31Jan 17, 2025Updated last year
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- Sample codes for training of Voronoi-tessellation-assisted convolutional neural network by Fukami et al. (Nature Machine Intelligence 202…☆59Aug 11, 2023Updated 2 years ago
- XPINN code written in TensorFlow 2☆28Feb 1, 2023Updated 3 years ago
- Official Implementation of "AIVT: Inference of turbulent thermal convection from measured 3D velocity data by physics-informed Kolmogorov…☆16Oct 10, 2025Updated 4 months ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆88Aug 26, 2025Updated 5 months ago
- PDE Preserved Neural Network☆59May 15, 2025Updated 9 months ago
- Using deep reinforcement learning for refining meshes in computational fluid dynamics☆30Aug 7, 2023Updated 2 years ago
- ☆13Dec 5, 2022Updated 3 years ago
- The lid-driven cavity is a popular problem within the field of computational fluid dynamics (CFD) for validating computational methods. I…☆16Dec 14, 2021Updated 4 years ago
- hPINN: Physics-informed neural networks with hard constraints☆153Nov 21, 2021Updated 4 years ago