xdfeng7370 / Multi-fidelity-neural-network-Links
☆42Updated 2 years ago
Alternatives and similar repositories for Multi-fidelity-neural-network-
Users that are interested in Multi-fidelity-neural-network- are comparing it to the libraries listed below
Sorting:
- ☆40Updated 2 years ago
- multi-fidelity neural network☆20Updated 2 years ago
- Multi-fidelity probability machine learning☆20Updated last month
- Pytorch implementation of Bayesian physics-informed neural networks☆67Updated 4 years ago
- Multi-fidelity reduced-order surrogate modeling☆28Updated 5 months ago
- Multi-fidelity Gaussian Process☆29Updated 4 years ago
- Multi-fidelity regression with neural networks☆16Updated last month
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆52Updated 4 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆38Updated 2 years ago
- Multifidelity Kriging, Efficient Global Optimization☆18Updated 7 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆80Updated 4 years ago
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆19Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆59Updated 5 years ago
- an active-learning method for reliability analysis based on multi-fidelity kriging model☆42Updated 2 years ago
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆93Updated 2 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆35Updated 3 years ago
- ☆63Updated 6 years ago
- ☆20Updated last year
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆57Updated last year
- ☆131Updated 3 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆97Updated 2 years ago
- POD-PINN code and manuscript☆56Updated last year
- The code is used to solve structural reliability analysis problem via the BSC_RLCB method☆15Updated 4 years ago
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆92Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆48Updated 3 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆49Updated 5 years ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆28Updated 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
- This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity M…☆12Updated 2 years ago
- ☆67Updated 3 years ago