Physics-informed neural networks for studying heat transfer in porous media
☆21Jun 13, 2025Updated last year
Alternatives and similar repositories for PINN_porous
Users that are interested in PINN_porous are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Physics Informed Neural Network for solving 3D transient heat transfer☆16Apr 29, 2026Updated 5 months ago
- About Partial Differential Equations (PDEs) of 2D Heat Transfer is solved by Physic-Informed Neural Network (PINN), while time is discret…☆14May 14, 2024Updated 2 years ago
- Heat Equation FEM and PINN solver☆12Apr 24, 2022Updated 4 years ago
- PINN Research Benchmark☆15Mar 30, 2026Updated 6 months ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Jun 27, 2022Updated 4 years ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- In this repository we give some basic intuitions of PINNS and how to implement it for heat equation.☆22Mar 27, 2025Updated last year
- PINN for heat transfer problems☆26Jun 23, 2021Updated 5 years ago
- Efficiently solve the 2D heat equation using a Physics-Informed Neural Network (PINN). Simulate and predict temperature distributions wit…☆11Dec 15, 2023Updated 2 years ago
- Physics informed neural network (PINN) for the 2D Heat equation☆15Jun 23, 2022Updated 4 years ago
- A physics informed deep learning model for flow through porous media using data acquired from LBM simulations.☆16Mar 29, 2023Updated 3 years ago
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆185May 30, 2026Updated 4 months ago
- iVABS is a VABS-based design framework for composite beams including helicopter rotor blades, wind turbine blades, high aspect ratio wing…☆13Sep 27, 2024Updated 2 years ago
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆155Oct 18, 2019Updated 6 years ago
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆28Aug 3, 2024Updated 2 years ago
- End-to-end encrypted cloud storage - Proton Drive • AdSpecial offer: 40% Off Yearly / 80% Off First Month. Protect your most important files, photos, and documents from prying eyes.
- After reading the paper Physics-informed neural networks(https://www.sciencedirect.com/science/article/pii/S0021999118307125), I tried to…☆13Jan 27, 2022Updated 4 years ago
- A Surrogate Model with Data Augmentation and Deep Transfer Learning for Temperature Field Prediction of Heat Source Layout☆11Nov 25, 2020Updated 5 years ago
- Data preprocess method on Physics-informed neural networks☆28Feb 21, 2025Updated last year
- ☆14Sep 22, 2019Updated 7 years ago
- ccf conference template and skills☆20May 20, 2026Updated 4 months ago
- a Thermal Lattice Boltzmann code for concentrated emulsions with FINite-size Droplets☆12Feb 23, 2022Updated 4 years ago
- In recent years, the use of physics-informed neural networks (PINNs) has gained popularity across several engineering disciplines due to …☆13Nov 23, 2025Updated 10 months ago
- ☆11Jan 5, 2025Updated last year
- Library for fault Modelling in Modelica☆11Sep 3, 2025Updated last year
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- ☆102Nov 25, 2024Updated last year
- A repository for solving heat equation in a rectangular fin with Physics Informed Neural Networks and Surrogate Models.☆13Dec 12, 2022Updated 3 years ago
- ☆11Aug 30, 2023Updated 3 years ago
- 職務経歴書☆18Updated this week
- 基于UNet的肝脏肿瘤多类分割算法☆14Feb 9, 2025Updated last year
- Lattice Boltzmann code built on AMReX☆14Apr 7, 2020Updated 6 years ago
- Modelica library for convective heat transfer and pressure loss characteristics (Used for ClaRa library < 1.3.0)☆11Jul 30, 2019Updated 7 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Jul 27, 2022Updated 4 years ago
- Examples of using MATLAB, Symbolic Math Toolbox, Partial Differential Equation Toolbox, and Simscape Fluids for solving canonical problem…☆14Mar 4, 2025Updated last year
- 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.
- Neural topology optimization via active learning for efficient channel design in turbulent mass transfer☆17Oct 9, 2025Updated last year
- Code accompanying "Inverse-Dirichlet Weighting Enables Reliable Training of Physics Informed Neural Networks", Maddu et al., 2021☆14Nov 3, 2021Updated 4 years ago
- The construction of TgNN surrogate☆15Dec 26, 2020Updated 5 years ago
- demonstration of pyEMU and pest++ workflow with a mf6 freyberg model☆20Mar 2, 2023Updated 3 years ago
- ☆17Jun 7, 2025Updated last year
- Pendant Capsule Elastometry - Determine the elastic properties of pendant droplets coated with elastic layers☆11Aug 12, 2018Updated 8 years ago
- Replication with PyTorch of ''Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involv…☆39Oct 1, 2026Updated 2 weeks ago