Zhen-Ni / MFNNLinks
multi-fidelity neural network
☆21Updated 2 years ago
Alternatives and similar repositories for MFNN
Users that are interested in MFNN are comparing it to the libraries listed below
Sorting:
- ☆42Updated 2 years ago
- ☆40Updated 2 years ago
- Multi-fidelity probability machine learning☆20Updated last month
- Multi-fidelity reduced-order surrogate modeling☆28Updated 6 months ago
- Multi-fidelity regression with neural networks☆16Updated last month
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- ☆44Updated 3 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
- ☆20Updated last year
- Physics-guided neural network framework for elastic plates☆48Updated 3 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆58Updated last year
- 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
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆69Updated this week
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆97Updated 2 years ago
- A convolutional neural network for drag prediction in laminar flows☆15Updated 4 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆80Updated 4 years ago
- A collection of Jupyter notebooks providing tutorials on reduced order modeling techniques like DeepONet, FNO, DL-ROM, and POD-DL-ROM. Ea…☆27Updated 11 months ago
- POD-PINN code and manuscript☆56Updated last year
- an active-learning method for reliability analysis based on multi-fidelity kriging model☆42Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆67Updated 4 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆89Updated last year
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago
- PINN program for computational mechanics☆128Updated last year
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆25Updated 4 months ago
- A Matlab toolbox for solving the generalized density evolution equation (GDEE) in the probability density evolution method (PDEM) by fini…☆29Updated last year
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆34Updated 2 years ago
- Source codes for Probability-Adaptive Kriging in n-Ball (PAK-Bn) (Kim & Song, 2020)☆11Updated 8 months ago
- This Matlab files are used to demonstrate on how to perform Reliability-based Design Optimization (RBDO) using FERUM. Two approaches are …☆15Updated 2 years ago
- Gradient-enhanced Kriging surrogate model☆21Updated 2 weeks ago