xdfeng7370 / Multi-fidelity-neural-network-
☆36Updated last year
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
- ☆36Updated last year
- multi-fidelity neural network☆18Updated last year
- Pytorch implementation of Bayesian physics-informed neural networks☆55Updated 3 years ago
- Multi-fidelity probability machine learning☆17Updated 2 months ago
- Multi-fidelity regression with neural networks☆11Updated 3 months ago
- Multi-fidelity Gaussian Process☆25Updated 4 years ago
- Research/development of physics-informed neural networks for dynamic systems☆18Updated 3 months ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆49Updated 3 years ago
- Non-adaptive and residual-based adaptive sampling for PINNs☆65Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆16Updated 2 years ago
- Multi-fidelity classification with Gaussian process☆15Updated last year
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆51Updated 4 years ago
- ☆18Updated last year
- Multifidelity Kriging, Efficient Global Optimization☆17Updated 6 years ago
- POD-PINN code and manuscript☆48Updated 4 months ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆63Updated 3 years ago
- ☆52Updated 2 years ago
- Multi-fidelity reduced-order surrogate modeling☆19Updated 3 months ago
- Tools to construct surrogate models based on Hermitian polynomial bases. Includes full-factorial and sparse polynomial chaos expansions v…☆10Updated 6 years ago
- an active-learning method for reliability analysis based on multi-fidelity kriging model☆30Updated last year
- Surrogate Modeling for Fluid Flows Based on Physics-Constrained Label-Free Deep Learning☆84Updated last year
- A kind of loss function based on Least Squares Weighted Residual method for computational solid mechanics☆54Updated 9 months ago
- Burgers equation solved by PINN in PyTorch☆21Updated 3 years ago
- The code is used to solve structural reliability analysis problem via the BSC_RLCB method☆10Updated 3 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆28Updated 3 years ago
- I am doing a surrogate optimization of a transonic airfoil. I am using an artificial neural network as my surrogate model to approximate …☆8Updated 4 years ago
- Multifidelity DeepONet☆30Updated last year
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆61Updated 8 years ago
- hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations☆76Updated 2 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆78Updated last year