Deep Learning Method Based on Physics Informed Neural Network with Resnet Block for Solving Fluid Flow Problems

Develop optimal network topology of artificial neural network (AONN) to predict the hybrid nanofluids thermal conductivity according to the empirical data of Al2O3 – Cu nanoparticles dispersed in ethylene glycol

(2020) Yeping Peng et al.   PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS

A novel method of low-dimensional representation for temporal behavior of flow fields using deep autoencoder

(2019) Noriyasu Omata et al.   AIP Advances

Super-resolution reconstruction of turbulent flows with machine learning

(2019) Kai Fukami et al.   JOURNAL OF FLUID MECHANICS

Fast flow field prediction over airfoils using deep learning approach

(2019) Vinothkumar Sekar et al.   PHYSICS OF FLUIDS

Surrogate modeling for fluid flows based on physics-constrained deep learning without simulation data

(2019) Luning Sun et al.   COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING

Prediction model of velocity field around circular cylinder over various Reynolds numbers by fusion convolutional neural networks based on pressure on the cylinder

(2018) Xiaowei Jin et al.   PHYSICS OF FLUIDS

Physics-informed machine learning approach for augmenting turbulence models: A comprehensive framework

(2018) Jin-Long Wu et al.   Physical Review Fluids

tempoGAN

(2018) You Xie et al.   ACM TRANSACTIONS ON GRAPHICS

Data-driven deconvolution for large eddy simulations of Kraichnan turbulence

(2018) R. Maulik et al.   PHYSICS OF FLUIDS

Reynolds averaged turbulence modelling using deep neural networks with embedded invariance

(2016) Julia Ling et al.   JOURNAL OF FLUID MECHANICS

Deep Learning-Based Model Reduction for Distributed Parameter Systems

(2016) Mingliang Wang et al.   IEEE Transactions on Systems Man Cybernetics-Systems

Using statistical learning to close two-fluid multiphase flow equations for a simple bubbly system

(2015) Ming Ma et al.   PHYSICS OF FLUIDS

Sparsity-promoting dynamic mode decomposition

(2014) Mihailo R. Jovanović et al.   PHYSICS OF FLUIDS

Dynamic mode decomposition for large and streaming datasets

(2014) Maziar S. Hemati et al.   PHYSICS OF FLUIDS

The human splicing code reveals new insights into the genetic determinants of disease

(2014) H. Y. Xiong et al.   SCIENCE