XuhuiM / Multi-Fidelity-DNNs-PINNs
☆35Updated last year
Related projects ⓘ
Alternatives and complementary repositories for Multi-Fidelity-DNNs-PINNs
- ☆32Updated last year
- Pytorch implementation of Bayesian physics-informed neural networks☆38Updated 3 years ago
- POD-PINN code and manuscript☆45Updated 4 years ago
- Multi-fidelity classification with Gaussian process☆15Updated last year
- Multi-fidelity probability machine learning☆13Updated last month
- multi-fidelity neural network☆15Updated last year
- Multifidelity DeepONet☆27Updated last year
- Multi-fidelity Gaussian Process☆22Updated 3 years ago
- A Backward Compatible -- Physics Informed Neural Network for Allen Cahn and Cahn Hilliard Equations☆24Updated 2 years ago
- Python codes for Locally Adaptive Activation Function (LAAF) used in deep neural networks. Please cite this work as "A D Jagtap, K Kawa…☆38Updated last year
- Physics-guided neural network framework for elastic plates☆32Updated 2 years ago
- Physics-Constrained Bayesian Neural Network for Fluid Flow Reconstruction with Sparse and Noisy Data☆44Updated 4 years ago
- ☆61Updated 5 years ago
- Examplary code for NN, MFNN, DynNet, PINNs and CNN☆46Updated 3 years ago
- Physics-Informed Neural Network (PINN) for Solving Coupled PDEs Governing Thermochemical Physics in Bi-Material Systems☆47Updated 3 years ago
- ☆15Updated 8 months ago
- Physics-informed radial basis network☆26Updated 5 months ago
- Source code for POD-DL-ROM: enhancing deep learning-based reduced order models for nonlinear parametrized PDEs by proper orthogonal decom…☆27Updated last year
- This repository contains the code and models for our paper "Investigating and Mitigating Failure Modes in Physics-informed Neural Network…☆16Updated 11 months ago
- The code is used to solve structural reliability analysis problem via the BSC_RLCB method☆10Updated 2 years ago
- Multi-fidelity Bayesian Optimization via Deep Neural Nets☆28Updated 3 years ago
- Multi-fidelity modeling using Gaussian processes and nonlinear auto-regressive schemes.☆57Updated 7 years ago
- Examples implementing physics-informed neural networks (PINN) in Pytorch☆53Updated 3 years ago
- Boosting the training of physics informed neural networks with transfer learning☆25Updated 3 years ago
- ☆29Updated 2 years ago
- Enhancing PINNs for Solving PDEs via Adaptive Collocation Point Movement and Adaptive Loss Weighting☆18Updated last year
- Non-adaptive and residual-based adaptive sampling for PINNs☆56Updated 2 years ago
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆15Updated 2 years ago
- Physics Informed Neural Networks (based on Raissi et al) extended to three dimensions on the heat diffusion equations☆15Updated 2 years ago
- XPINN code written in TensorFlow 2☆26Updated last year