luv-bansal / Physics-Informed-Neural-Network-for-Elastodynamic-problemsLinks
☆18Updated 2 years ago
Alternatives and similar repositories for Physics-Informed-Neural-Network-for-Elastodynamic-problems
Users that are interested in Physics-Informed-Neural-Network-for-Elastodynamic-problems are comparing it to the libraries listed below
Sorting:
- An improved and generic PINNs for fluid dynamic analysis is proposed. This approach incorporates three key improvements: residual-based …☆27Updated 2 years ago
- Effective data sampling strategies and boundary condition constraints of physics-informed neural networks for identifying material proper…☆22Updated 2 years ago
- ☆41Updated 3 years ago
- Convolution Neural Network based solution for 2D steady state Navier Stokes equation for submerged badies☆11Updated 4 years ago
- Data preprocess method on Physics-informed neural networks☆22Updated 8 months ago
- A Self-Training Physics-Informed Neural Network for Partial Differential Equations☆22Updated 2 years ago
- ☆24Updated last year
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 8 months ago
- Blood Flow Modeling with Physics-Informed Neural Networks☆18Updated 2 years 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
- Physics-guided neural network framework for elastic plates☆46Updated 3 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆84Updated last year
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆18Updated 3 years ago
- Physics Informed Neural Network (PINN) for the 2D Navier-Stokes equation☆33Updated 3 years ago
- Implementation of 'Physics-Informed Neural Networks for Shell Structures' (European Journal of Mechanics A)☆44Updated last year
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- 复现CICP论文提出的几种改进PINN性能的方法☆22Updated 3 months ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago
- ☆12Updated 4 months ago
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆20Updated 2 years ago
- Scripts for the ANN publication submited to FEAD 2021☆14Updated 4 years ago
- A Machine Learning approach to Finite Element Methods, using U-Net inspired architectures.☆29Updated 6 years ago
- ☆30Updated 3 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆96Updated 2 years ago
- ☆17Updated last year
- PINN for obtaining WSS from sparse data☆68Updated last year
- 这是一个基于 Python 有限元理论,算法与应用的仓库☆14Updated 6 years ago
- PINNs for 2D Incompressible Navier-Stokes Equation☆54Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆34Updated 3 years ago