YuxuanXiu / PGNN.pytorchLinks
A pytorch implementation of the paper "Physics-guided Neural Networks (PGNN): An Application in Lake Temperature Modeling"
☆15Updated 6 years ago
Alternatives and similar repositories for PGNN.pytorch
Users that are interested in PGNN.pytorch are comparing it to the libraries listed below
Sorting:
- Physics-guided Neural Networks (PGNN) : An Application In Lake Temperature Modelling☆113Updated 4 years ago
- Physics-guided Convolutional Neural Network☆68Updated 5 years ago
- Python scripts for wind turbine main bearing fatigue life estimation with physics-informed neural networks☆116Updated 3 years ago
- Identification of Bouc–Wen type models using the transitional Markov chain Monte Carlo method☆15Updated 9 months ago
- Boosting the training of physics informed neural networks with transfer learning☆27Updated 4 years ago
- Code for Rice et al. 2020 "Analyzing Koopman approaches to physics-informed machine learning for long-term sea-surface temperature forcea…☆36Updated 3 months ago
- Deep LSTM for highly nonlinear system modeling☆56Updated 6 years ago
- Pytorch implementation of Bayesian physics-informed neural networks☆68Updated 4 years ago
- Multi-fidelity Gaussian Process☆29Updated 4 years ago
- A MATLAB implementation of the co-kriging process using the DACE toolbox☆41Updated 8 years ago
- We introduce an innovative physics-informed LSTM framework for metamodeling of nonlinear structural systems with scarce data.☆97Updated 2 years ago
- ☆42Updated 2 years ago
- Sonkyo blade benchmark☆18Updated 4 years ago
- MATLAB toolbox for simulating the lateral dynamics of rotating machines.☆51Updated 2 years ago
- ☆131Updated 3 years ago
- Kriging for Analysis, Design optimization, And expLoration (KADAL)☆20Updated 3 years ago
- ☆91Updated 2 years ago
- Simulation of a SDOF Bouc-Wen-Baber-Noori hysteretic system☆13Updated 4 years ago
- ☆40Updated 2 years ago
- Customized FERUM (Finite Element Reliability Using Matlab)☆13Updated 3 years ago
- The code for the paper Temperature field inversion of heat-source systems via physics-informed neural networks☆41Updated 3 years ago
- ☆14Updated last year
- ☆38Updated 2 years ago
- A Matlab toolbox for stochastic response analysis by DR-PDEE/GE-GDEE☆29Updated last week
- Elastohydrodynamic Lubrication Point Contact Solver for MATLAB☆28Updated last year
- Physics-Informed and Hybrid Machine Learning in Additive Manufacturing: Application to Fused Filament Fabrication☆19Updated 3 years ago
- Predictive maintenance algorithm developed using digital twin of hydraulic pump modeled in Simscape☆37Updated this week
- Deep learning assisted dynamic mode decomposition☆19Updated 4 years ago
- Bayesian deep convolutional encoder-decoder networks for surrogate modeling and uncertainty quantification☆107Updated 5 years ago
- A python implementation of Physics-informed Spline Learning for nonlinear dynamics discovery.☆27Updated 4 years ago