☆27Oct 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. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆24Nov 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
- Deep residual networks for dimensionality reduction and surrogate modeling in high-dimensional inverse problems☆10Mar 20, 2021Updated 5 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
- ☆13Nov 20, 2019Updated 6 years ago
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- ☆15Dec 20, 2020Updated 5 years ago
- Physics informed neural network (PINN) for the 2D Heat equation☆15Jun 23, 2022Updated 4 years ago
- ☆12Apr 18, 2023Updated 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☆96Aug 26, 2025Updated 10 months ago
- Thinner version of pipe or cylinder geometry with snappyHexMesh☆11Dec 13, 2021Updated 4 years ago
- Slides for my presentations at the OpenFOAM Workshop 2020☆10Mar 26, 2022Updated 4 years ago
- PINN for heat transfer problems☆26Jun 23, 2021Updated 5 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆98Aug 17, 2023Updated 2 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Python Implementation of Lattice Boltzmann Method☆12Aug 18, 2021Updated 4 years ago
- Physics-informed neural networks with hard constraints for inverse design☆161Nov 21, 2021Updated 4 years ago
- (Conditional) Normalizing Flows in PyTorch. Offers a wide range of (conditional) invertible neural networks.☆12Mar 16, 2026Updated 4 months 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
- A general PINN framework for solving ice sheet modeling☆36Updated this week
- 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
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago
- ☆24Sep 29, 2021Updated 4 years ago
- Learning Robust Statistics for Simulation-Based Inference Under Model Misspecification (Huang et al., Neurips 2023)☆13May 26, 2026Updated last month
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- ☆18Sep 27, 2024Updated last year
- Extended Physics-Informed Neural Networks (XPINNs): A Generalized Space-Time Domain Decomposition Based Deep Learning Framework for Nonli…☆268Feb 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
- Compiling Custom solvers☆15Jul 6, 2019Updated 7 years ago
- A list of deep learning papers and notes on them☆11Dec 31, 2016Updated 9 years ago
- Physics informed neural network (PINN) for the 1D Heat equation☆23Nov 9, 2023Updated 2 years ago
- Research/development of physics-informed neural networks for dynamic systems☆33Nov 25, 2024Updated last year
- Routines implementing sbfem as UEL☆11Oct 8, 2020Updated 5 years ago
- PyLlama enables to calculate the reflection and transmission spectra of an arbitrary multilayer stack whose layers are made of dispersive…☆23Aug 15, 2022Updated 3 years ago
- Deploy open-source AI quickly and easily - Special Bonus Offer • AdRunpod Hub is built for open source. One-click deployment and autoscaling endpoints without provisioning your own infrastructure.
- Holding opensource codes about research projects related with ML+numerical methods☆12May 11, 2025Updated last year
- Competitive Physics Informed Networks☆31Sep 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 …☆15Jul 7, 2026Updated last week
- A repository for solving heat equation in a rectangular fin with Physics Informed Neural Networks and Surrogate Models.☆13Dec 12, 2022Updated 3 years ago
- Physics Informed Neural Network for solving 3D transient heat transfer☆16Apr 29, 2026Updated 2 months ago
- ☆10Jun 5, 2021Updated 5 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…☆25May 9, 2021Updated 5 years ago