Zhen-Ni / MFNNLinks
multi-fidelity neural network
☆19Updated 2 years ago
Alternatives and similar repositories for MFNN
Users that are interested in MFNN are comparing it to the libraries listed below
Sorting:
- ☆40Updated 2 years ago
- ☆37Updated last year
- Multi-fidelity probability machine learning☆18Updated 6 months ago
- ☆19Updated last year
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago
- Multi-fidelity regression with neural networks☆13Updated 8 months ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆37Updated 2 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆61Updated 3 years ago
- Research/development of physics-informed neural networks for dynamic systems☆27Updated 8 months ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆32Updated last year
- ☆40Updated 3 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆72Updated 3 years ago
- Physics-guided neural network framework for elastic plates☆45Updated 3 years ago
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆67Updated last year
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆56Updated last year
- Multi-fidelity reduced-order surrogate modeling☆24Updated last month
- POD-PINN code and manuscript☆52Updated 9 months ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆56Updated 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…☆25Updated 6 months ago
- A physics-informed deep learning (DL)-based constitutive model for investigating epoxy based composites under different ambient condition…☆17Updated 2 weeks ago
- Gradient-based adaptive sampling algorithms for self-supervising PINNs☆27Updated 2 years ago
- Implement PINN with high level APIs of TF2.0, including a solution of coupled PDEs with PINN☆27Updated 2 years ago
- Physics-Informed Neural Network (PINN) for Solving Direct and Inverse Heat Conduction Problems☆13Updated 3 years ago
- Multifidelity Kriging, Efficient Global Optimization☆18Updated 6 years ago
- A pytorch implementation of several approaches using PINN to slove turbulent flow☆79Updated last year
- A convolutional neural network for drag prediction in laminar flows☆15Updated 4 years ago
- A Matlab toolbox for solving the generalized density evolution equation (GDEE) in the probability density evolution method (PDEM) by fini…☆27Updated 8 months ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆18Updated 3 years ago
- This repo contains a PyTorch-based AE-ConvLSTM model for fluid flow prediction. It can forecast 5–10 time steps per forward pass and over…☆24Updated 2 months ago
- A method based on a feed forward neural network to solve partial differential equations in nonlinear elasticity at finite strain based on…☆66Updated 2 months ago