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:
- ☆38Updated 2 years ago
- multi-fidelity neural network☆20Updated 2 years ago
- Multi-fidelity probability machine learning☆19Updated 8 months ago
- Pytorch implementation of Bayesian physics-informed neural networks☆63Updated 4 years ago
- ☆19Updated last year
- Multi-fidelity reduced-order surrogate modeling☆25Updated 3 months ago
- Multi-fidelity Gaussian Process☆27Updated 4 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆76Updated 4 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆58Updated 4 years ago
- Multi-fidelity regression with neural networks☆15Updated 10 months ago
- ☆64Updated 2 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆51Updated 4 years ago
- Physics-guided neural network framework for elastic plates☆46Updated 3 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- A comprehensive study of non-adaptive and residual-based adaptive sampling for physics-informed neural networks☆89Updated 2 years ago
- ☆41Updated 3 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
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆91Updated 2 years ago
- an active-learning method for reliability analysis based on multi-fidelity kriging model☆40Updated last year
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆33Updated 3 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆19Updated 3 years ago
- This repository comprises Jupyter Notebooks that serve as supplementary material to the journal article titled "Review of Multifidelity M…☆10Updated 2 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆84Updated last year
- ☆131Updated 3 years ago
- POD-PINN code and manuscript☆53Updated 10 months ago
- PINN program for computational mechanics☆121Updated last year
- Source code of 'Deep transfer operator learning for partial differential equations under conditional shift'.☆73Updated 2 years ago
- Research/development of physics-informed neural networks for dynamic systems☆29Updated 10 months ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆92Updated 2 years ago