☆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☆22Nov 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…☆20Dec 8, 2023Updated 2 years ago
- Deep residual networks for dimensionality reduction and surrogate modeling in high-dimensional inverse problems☆10Mar 20, 2021Updated 5 years ago
- ☆13Nov 20, 2019Updated 6 years ago
- ☆15Sep 27, 2024Updated last year
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆88Aug 26, 2025Updated 6 months ago
- ☆15Dec 20, 2020Updated 5 years ago
- Hybrid finite-volume solver based on the lattice-Boltzmann & discrete-velocity methods for the Couette problem☆11Oct 3, 2019Updated 6 years ago
- Thinner version of pipe or cylinder geometry with snappyHexMesh☆12Dec 13, 2021Updated 4 years ago
- PINN for heat transfer problems☆24Jun 23, 2021Updated 4 years ago
- Slides for my presentations at the OpenFOAM Workshop 2020☆10Mar 26, 2022Updated 3 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆151Oct 18, 2019Updated 6 years ago
- Physics-informed neural networks with hard constraints for inverse design☆154Nov 21, 2021Updated 4 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
- Python Implementation of Lattice Boltzmann Method☆12Aug 18, 2021Updated 4 years ago
- ☆23Sep 29, 2021Updated 4 years ago
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆92Jan 24, 2021Updated 5 years ago
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆248Feb 1, 2023Updated 3 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
- 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
- Compiling Custom solvers☆15Jul 6, 2019Updated 6 years ago
- Research/development of physics-informed neural networks for dynamic systems☆32Nov 25, 2024Updated last year
- Physics informed neural network (PINN) for the 1D Heat equation☆22Nov 9, 2023Updated 2 years ago
- Holding opensource codes about research projects related with ML+numerical methods☆12May 11, 2025Updated 10 months ago
- Competitive Physics Informed Networks☆32Sep 21, 2024Updated last year
- 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
- Physics Informed Neural Network for solving 3D transient heat transfer☆14Apr 28, 2024Updated last year
- ☆10Jun 5, 2021Updated 4 years ago
- Convolutional Solvers for Partial Differential Equations☆27Jun 29, 2020Updated 5 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆43Sep 18, 2022Updated 3 years ago
- postProcessing tool for OpenFOAM, transform OpenFOAM fields to one single file by columns☆17May 11, 2021Updated 4 years ago
- POD-PINN code and manuscript☆58Nov 10, 2024Updated last year
- Official code for AL-PINNS: Augmented Lagrangian relaxation method for Physics-Informed Neural Networks☆12Jul 29, 2023Updated 2 years ago
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆93May 11, 2022Updated 3 years ago
- Routines implementing sbfem as UEL☆11Oct 8, 2020Updated 5 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 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
- Using OpenFOAM with SmartSim. This example implements a streaming version of the TensorFlowFOAM work☆27Jun 16, 2025Updated 9 months ago