This is the implementation of the PI-UNet for HSL-TFP
☆28Feb 19, 2023Updated 3 years ago
Alternatives and similar repositories for PI-UNet_HSL-TFP
Users that are interested in PI-UNet_HSL-TFP are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A Surrogate Model with Data Augmentation and Deep Transfer Learning for Temperature Field Prediction of Heat Source Layout☆11Nov 25, 2020Updated 5 years ago
- This is the implementation of the RecFNO.☆25Feb 21, 2023Updated 3 years ago
- Density-based topology optimization via the deep energy method☆19Nov 1, 2022Updated 3 years ago
- An automatic knowledge embedding framework for scientific machine learning☆23May 15, 2022Updated 3 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 5 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆170May 15, 2024Updated last year
- ☆37Sep 13, 2025Updated 7 months ago
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆26Aug 3, 2024Updated last year
- PhyGeoNet: Physics-Informed Geometry-Adaptive Convolutional Neural Networks for Solving Parametric PDEs on Irregular Domain☆91Jan 24, 2021Updated 5 years ago
- Numerical assessments of a nonintrusive surrogate model based on recurrent neural networks and proper orthogonal decomposition: Rayleigh …☆10Dec 2, 2022Updated 3 years ago
- Python scripts to run resolution of the Reynolds-Averaged-Navier-Stokes equations over NACA 4 and 5 digits airfoils.☆26Jan 9, 2025Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆26May 30, 2023Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆29May 8, 2023Updated 3 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Sep 30, 2021Updated 4 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.
- PINN for heat transfer problems☆25Jun 23, 2021Updated 4 years ago
- ☆47May 18, 2022Updated 3 years ago
- Flow field reconstruction and prediction of the 2D cylinder flow using data-driven physics-informed neural network combined with long sho…☆43Nov 11, 2024Updated last year
- Fourier Neural Operators to solve for Allen Cahn PDE equations☆20Jan 17, 2022Updated 4 years ago
- Physics-informed neural networks for studying heat transfer in porous media☆21Jun 13, 2025Updated 10 months ago
- Physics-guided neural network framework for elastic plates☆52Mar 24, 2022Updated 4 years ago
- Implementation of Physics-Informed PointNet (PIPN) for weakly-supervised learning of 2D linear elasticity (plane stress) on multiple sets…☆12Apr 11, 2024Updated 2 years ago
- This repository offers a collection of simulation datasets from mechanical simulations of metamaterials. Jupyter notbooks demonstrate how…☆17Nov 1, 2022Updated 3 years ago
- Python package for NN generation from physics☆16Mar 25, 2023Updated 3 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Official code for "DMIS: Dynamic Mesh-based Importance Sampling for Training Physics-Informed Neural Networks" (AAAI 2023)☆18Jan 17, 2024Updated 2 years ago
- Physics-informed deep learning for structural dynamics under moving load☆21Oct 4, 2024Updated last year
- Physics-informed graph neural Galerkin networks: A unified framework for solving PDE-governed forward and inverse problems☆61Jan 25, 2022Updated 4 years ago
- ☆14Dec 12, 2022Updated 3 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆37Feb 4, 2022Updated 4 years ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆15Apr 12, 2024Updated 2 years 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 last year
- Physics-constrained deep learning for high-dimensional surrogate modeling and uncertainty quantification without labeled data☆152Oct 18, 2019Updated 6 years ago
- Physics Informed Neural Networks (PINNs) is a machine learning technique that incorporates physical laws and constraints into the neural …☆12Sep 27, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial Offer • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- ☆17Nov 26, 2024Updated last year
- Physics-constrained auto-regressive convolutional neural networks for dynamical PDEs☆94May 11, 2022Updated 4 years ago
- Enhancing the convergence speed by 2x and improving the training success of Physics-Informed Neural Networks (PINNs).☆13Oct 14, 2024Updated last year
- Battery temperature prediction☆15Mar 14, 2024Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆50Jul 23, 2020Updated 5 years ago
- Physics-informed learning of governing equations from scarce data☆170Jul 19, 2023Updated 2 years ago
- Using Fourier Neural Operator to measure the physical fields for a mode-I failure of 2D composites☆13Nov 13, 2022Updated 3 years ago