doomsday4 / Heat-Transfer-in-Advanced-Manufacturing-using-PINNLinks
This is a PINN based approach in solving high temperature heat transfer equations in manufacturing industries, with a focus on reducing the energy consumption and optimizing the sensor positioning.
☆17Updated last year
Alternatives and similar repositories for Heat-Transfer-in-Advanced-Manufacturing-using-PINN
Users that are interested in Heat-Transfer-in-Advanced-Manufacturing-using-PINN are comparing it to the libraries listed below
Sorting:
- PINN (Physics-Informed Neural Networks) for the 2D heat equation☆15Updated 3 weeks ago
- This repository contains the Python code for the paper "Transfer learning-based PINN model of 3D temperature field prediction for blue la…☆19Updated last year
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆77Updated 4 years ago
- Physics Informed Neural Network for solving 3D transient heat transfer☆12Updated last year
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆39Updated 3 years ago
- 一个简易的模块化物理信息神经网络实现(PINN)☆46Updated 3 months ago
- Research/development of physics-informed neural networks for dynamic systems☆29Updated 11 months ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆96Updated 2 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆27Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Updated 3 years ago
- Burgers equation solved by PINN in PyTorch☆24Updated 4 years ago
- Basic implementation of physics-informed neural network with pytorch.☆81Updated 3 years ago
- ☆131Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆58Updated 4 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆84Updated last year
- This is a repository containing the different MATLAB codes and the .mat archives with the data samples that are referenced to within my t…☆15Updated 3 years ago
- Physics-informed deep learning for structural dynamics under moving load☆16Updated last year
- ☆87Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- ☆24Updated last year
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- PINN program for computational mechanics☆125Updated last year
- multi-fidelity neural network☆20Updated 2 years ago
- A convolutional neural network for drag prediction in laminar flows☆15Updated 4 years ago
- Physics Informed Neural Networks: a starting step for CFD specialists☆37Updated 3 years ago
- A pytorch implementaion of physics informed neural networks for two dimensional NS equation☆173Updated last year
- A Physics-Informed Neural Network to solve 2D steady-state heat equations.☆161Updated last month