railleon / FD-PINN_dynamicsLinks
Physics-informed deep learning for structural dynamics under moving load
☆16Updated 10 months ago
Alternatives and similar repositories for FD-PINN_dynamics
Users that are interested in FD-PINN_dynamics are comparing it to the libraries listed below
Sorting:
- Physics-informed neural network for fatigue crack propagation (Paris' law)☆16Updated 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
- Density-based topology optimization via the deep energy method☆13Updated 2 years 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
- MSherri-eng / Bayesian-Finite-Element-Model-Updating-Using-Evolutionary-Markov-Chain-Monte-Carlo-algorithms☆11Updated 4 years ago
- Neural integration for constitutive equations☆10Updated last year
- Physics-Informed Neural Network, Finite Element Method enhanced neural network, and FEM data-based neural network☆18Updated 5 months ago
- Implementation of a new hybrid machine learning technique for multi-fidelity surrogates of finite elements models with applications in mu…☆13Updated last year
- FEM enhanced neural network☆17Updated 2 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 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
- A basic example of using physics informed machine learning for enhanced structural dynamics modeling☆10Updated 2 years ago
- Implementations of the "randomize-then-optimize" approach for sampling Bayesian Physics-informed Neural Network posteriors☆10Updated 3 months ago
- ☆11Updated 5 years ago
- ☆19Updated last year
- Physics-guided neural network framework for elastic plates☆45Updated 3 years ago
- Data preprocess method on Physics-informed neural networks☆18Updated 5 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- This is the official implementation of "Deep Fuzzy Physics-Informed Neural Networks for Forward and Inverse PDE Problems" (Neural Network…☆18Updated last month
- Constitutive modeling · Deep learning · History-dependent materials · Recurrent neural networks · Viscoelasticity☆16Updated 4 months ago
- SK-PINN: Accelerated physics-informed deep learning by smoothing kernel gradients☆20Updated 4 months ago
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆17Updated last week
- ☆22Updated 9 months ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- ☆42Updated last year
- An unsupervised latent/output physics-informed convolutional-LSTM network for solving partial differential equations using peridynamic di…☆29Updated 2 years ago
- Burgers equation solved by PINN in PyTorch☆24Updated 3 years ago
- ☆15Updated 11 months ago
- Physics-informed radial basis network☆31Updated last year