austindowney / Physics-Informed-Machine-Learning-ExampleLinks
A basic example of using physics informed machine learning for enhanced structural dynamics modeling
☆10Updated 2 years ago
Alternatives and similar repositories for Physics-Informed-Machine-Learning-Example
Users that are interested in Physics-Informed-Machine-Learning-Example are comparing it to the libraries listed below
Sorting:
- Physics-informed deep learning for structural dynamics under moving load☆16Updated 10 months ago
- Code of the publication "Physics informed neural networks for continuum micromechanics" published in https://doi.org/10.1016/j.cma.2022.1…☆17Updated 3 years ago
- This project is divided in a two parts. In first study, Lame parameters are identified using tanh activation function. After that, six a…☆12Updated 2 years ago
- Neural integration for constitutive equations☆10Updated last year
- ☆12Updated 4 years ago
- Physics-informed convolutional-recurrent neural networks for solving spatiotemporal PDEs☆30Updated 3 years ago
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆10Updated 4 months ago
- Neural operator learning of heterogeneous mechanobiological insults contributing to aortic aneurysms☆11Updated 9 months ago
- Data preprocess method on Physics-informed neural networks☆18Updated 6 months ago
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆17Updated 3 years ago
- The repository contains implementations of examples provided in the literature on energy minimization based approach to Physics Informed …☆11Updated 5 years ago
- Physics-informed neural network for fatigue crack propagation (Paris' law)☆16Updated 3 years ago
- Solving a class of elliptic partial differential equations(PDEs) with multiple scales utilizing Fourier-based mixed physics informed neur…☆12Updated last year
- Frequency Domain Decomposition (FDD)☆11Updated 5 years ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆20Updated 4 months ago
- Density-based topology optimization via the deep energy method☆13Updated 2 years ago
- 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
- Flow field reconstruction and prediction of the 2D cylinder flow using data-driven physics-informed neural network combined with long sho…☆29Updated 9 months ago
- Physics-Informed Neural Networks: Forward/Inverse Modeling of Partial Differential Equations☆17Updated last year
- Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in mu…☆13Updated last year
- Physics-Informed Neural Networks Trained with Particle Swarm Optimization☆21Updated 2 years ago
- ☆11Updated 8 months ago
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 6 months ago
- ☆19Updated last year
- PINNs for 2D Incompressible Navier-Stokes Equation☆51Updated last year
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 3 years ago
- Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity☆17Updated 5 months ago
- MSherri-eng / Bayesian-Finite-Element-Model-Updating-Using-Evolutionary-Markov-Chain-Monte-Carlo-algorithms☆11Updated 4 years ago
- ☆83Updated last year
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆22Updated 2 weeks ago