☆26Oct 15, 2020Updated 5 years ago
Alternatives and similar repositories for DeepStefan
Users that are interested in DeepStefan are comparing it to the libraries listed below
Sorting:
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆21Nov 8, 2022Updated 3 years ago
- This repository introduces Partial Differential Equation Solver using neural network that can learn resolution-invariant solution operato…☆17Nov 23, 2021Updated 4 years ago
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆19Dec 8, 2023Updated 2 years ago
- ☆15Sep 27, 2024Updated last year
- Thinner version of pipe or cylinder geometry with snappyHexMesh☆12Dec 13, 2021Updated 4 years ago
- Slides for my presentations at the OpenFOAM Workshop 2020☆10Mar 26, 2022Updated 3 years ago
- Hybrid finite-volume solver based on the lattice-Boltzmann & discrete-velocity methods for the Couette problem☆11Oct 3, 2019Updated 6 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆88Aug 26, 2025Updated 6 months 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
- A list of deep learning papers and notes on them☆11Dec 31, 2016Updated 9 years ago
- All the code available to reproduce the paper "Deep Learning Surrogate of Computational Fluid Dynamics for Thrombus Formation Risk in the…☆13Nov 7, 2019Updated 6 years ago
- Python Implementation of Lattice Boltzmann Method☆12Aug 18, 2021Updated 4 years ago
- hPINN: Physics-informed neural networks with hard constraints☆153Nov 21, 2021Updated 4 years ago
- ☆13Nov 20, 2019Updated 6 years ago
- PINN for heat transfer problems☆23Jun 23, 2021Updated 4 years ago
- ☆15Dec 20, 2020Updated 5 years ago
- cane Mutiphysics is a framework for numerical simulations in engineering. cane has a BSD license Its input is made using GiD whereas the …☆15Feb 21, 2025Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆95Aug 17, 2023Updated 2 years ago
- Compiling Custom solvers☆15Jul 6, 2019Updated 6 years ago
- Code accompanying the manuscript "Augmented Physics-Informed Neural Networks (APINNs): A gating network-based soft domain decomposition m…☆16Sep 18, 2023Updated 2 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆151Oct 18, 2019Updated 6 years ago
- Using OpenFOAM with SmartSim. This example implements a streaming version of the TensorFlowFOAM work☆27Jun 16, 2025Updated 8 months ago
- This project deals with system identification and machine learning of large-scale deformable mirrors used in adaptive optics. I have subm…☆20Mar 28, 2025Updated 10 months ago
- postProcessing tool for OpenFOAM, transform OpenFOAM fields to one single file by columns☆17May 11, 2021Updated 4 years ago
- Control of 2D Rayleigh Benard Convection using Deep Reinforcement Learning with Tensorforce and Shenfun.☆21Jul 5, 2023Updated 2 years ago
- ☆17May 29, 2021Updated 4 years ago
- ☆23Sep 29, 2021Updated 4 years ago
- This codes calculates the dimensionalized POD and uses SINDy from the PySINDy python package to build a data-driven model for it. The cod…☆23May 9, 2021Updated 4 years ago
- A tiny project to use ax-platform for multi-objective Bayesian Optimization on OpenFOAM cases☆26Feb 18, 2026Updated last week
- POD-PINN code and manuscript☆58Nov 10, 2024Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Jan 24, 2021Updated 5 years ago
- PINN-COVID analyzes a plurality of epidemiological models through the lens of physics-informed neural networks (PINNs).☆23Oct 12, 2021Updated 4 years ago
- Welcome to the Applied Computational Fluid Dynamics (CFD) Tutorials repository. This repository contains a series of hands-on tutorials d…☆14Nov 10, 2024Updated last year
- Lecture notes and exercises carried out as part of the Quantum Mechanics 1 course taught at Yachay Tech University.☆14Jan 27, 2026Updated last month
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆53Mar 10, 2022Updated 3 years ago
- Physics informed neural network (PINN) for the 1D Heat equation☆22Nov 9, 2023Updated 2 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆23Nov 29, 2022Updated 3 years ago
- A general PINN framework for solving ice sheet modeling☆31Feb 5, 2026Updated 3 weeks ago