junhyuk6 / THT-CNNLinks
Prediction of turbulent heat transfer using convolutional neural networks (CNNs)
☆22Updated 2 years ago
Alternatives and similar repositories for THT-CNN
Users that are interested in THT-CNN are comparing it to the libraries listed below
Sorting:
- Stiff-PINN: Physics-Informed Neural Network for Stiff Chemical Kinetics☆63Updated 3 years ago
- Sample codes of CNN-SINDy based reduced-order modeling for fluid flows by Fukami et al., JFM 2021.☆26Updated 3 years ago
- This repository contains the simple source codes of "Convolutional neural network and long short-term memory based reduced order surrogat…☆15Updated 4 years ago
- ☆31Updated 3 months ago
- Data-driven Reynolds stress modeling with physics-informed machine learning☆93Updated 6 years ago
- Generative Adversarial Networks are used to super resolve turbulent flow fields from low resolution (RANS/LES) fields to high resolution …☆23Updated 4 years ago
- Reduced-Order Modeling of Fluid Flows with Transformers☆24Updated 2 years ago
- Tensor Basis Neural Network for Scalar Mixing☆10Updated 2 years ago
- POD and DMD decomposition of data from fluid dynamics. This work has been produced during my internship at the von Karman Institute for F…☆32Updated 4 years ago
- code for active flow control of flow around cynder using Deep Reinforcement Learning☆48Updated 3 years ago
- A Python package for spectral proper orthogonal decomposition (SPOD).☆109Updated 8 months ago
- A Computational Fluid Dynamics (CFD) course with Python☆92Updated last year
- Source code for the paper "Data-driven reduced-order models via regularised Operator Inference for a single-injector combustion process" …☆32Updated 3 years ago
- Tensoflow 2 implementation of physics informed deep learning.☆27Updated 4 years ago
- This repository contains the simple source codes of "Machine-learning-based reduced-order modeling for unsteady flows around bluff bodies…☆16Updated 4 years ago
- ☆13Updated 4 years ago
- Python code to calculate proper orthogonal decomposition modes (aka principal components), which are then used to generate reduced order …☆37Updated 10 years ago
- Multi-fidelity Generative Deep Learning Turbulent Flows☆38Updated 4 years ago
- Uncertainty Quantification of RANS Data-Driven Turbulence Modeling☆61Updated 4 years ago
- ☆73Updated 8 months ago
- Physics-informed neural networks for highly compressible flows 🧠🌊☆27Updated last year
- Proper Orthogonal Decomposition - Radial Basis Function (POD-RBF) Network☆67Updated last year
- DNS data of flows over periodic hills with parameterized geometries, for data-driven turbulence modeling☆44Updated 2 years ago
- One-dimensional unsteady compressible reacting flow simulation framework, designed for simple prototyping and testing of novel reduced-or…☆29Updated last year
- This is the source code for our paper "Towards high-accuracy deep learning inference of compressible turbulent flows over aerofoils"☆31Updated last year
- Theory-guided physics-informed neural networks for boundary layer problems with singular perturbation☆18Updated 2 years ago
- ☆21Updated 4 years ago
- XPINN code written in TensorFlow 2☆28Updated 2 years ago
- POD-PINN code and manuscript☆52Updated 8 months ago
- LES-ML closures for Kraichnan turbulence☆19Updated 5 years ago