XavierNie715 / PINN_HeatTransfer_tf2Links
Soving heat transfer problems using PINN with tf2.0
☆20Updated 4 years ago
Alternatives and similar repositories for PINN_HeatTransfer_tf2
Users that are interested in PINN_HeatTransfer_tf2 are comparing it to the libraries listed below
Sorting:
- ☆44Updated 3 years ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆70Updated 6 months ago
- Physics-guided neural network framework for elastic plates☆48Updated 3 years ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated 2 years ago
- ☆20Updated last year
- Physics-informed neural networks for two-phase flow problems☆70Updated 2 months ago
- Physics-informed radial basis network☆33Updated last year
- POD-PINN code and manuscript☆56Updated last year
- parallel PINNs; RANS equations; spatiotemporal parallel; PINNs☆33Updated last year
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆35Updated 3 years ago
- Finite Volume PINNs for Hyperbolic Conservation Laws & Compressible Flow☆22Updated 3 years ago
- Multiscale modeling of inelastic materials with Thermodynamics-based Artificial Neural Networks (TANN)☆13Updated last year
- PINN for heat transfer problems☆20Updated 4 years ago
- ☆46Updated 2 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆23Updated 2 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- ☆86Updated last year
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆36Updated 3 years ago
- Use of Turbulence Model (Spalart-Allmaras) with PINNs for mean flow reconstruction☆12Updated last year
- PINN Implementation for IJCAI paper, "Physics-Informed Neural Networks: Minimizing Residual Loss with Wide Networks and Effective Activat…☆20Updated last year
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- A deep energy method (DEM) to solve J2 elastoplasticity problems in 3D.☆26Updated 2 years ago
- Multifidelity deep neural operators for efficient learning of partial differential equations with application to fast inverse design of n…☆35Updated 2 years ago
- Discontinuity Computing Using Physics-Informed Neural Network☆26Updated last year
- Physics Informed Neural Networks To Solve Problems In Solid Mechanics☆15Updated 2 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆57Updated last year
- This repository includes the implementation of the Physics Informed Neural Network and The Deep Energy Method on 1D, 2D boundary value an…☆15Updated 3 years ago
- SIMPLE Algorithm for Driven Cavity problem on collocated grid using Python.☆25Updated 5 years ago