Synthetic turbulent inflow generator using machine learning

Super-resolution reconstruction of turbulent flows with machine learning

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

Data-driven forecasting of high-dimensional chaotic systems with long short-term memory networks

(2018) Pantelis R. Vlachas et al.   PROCEEDINGS OF THE ROYAL SOCIETY A-MATHEMATICAL PHYSICAL AND ENGINEERING SCIENCES

Searching for turbulence models by artificial neural network

(2017) Masataka Gamahara et al.   Physical Review Fluids

Reynolds averaged turbulence modelling using deep neural networks with embedded invariance

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

Realizing turbulent statistics

(2011) JÉRÔME HŒPFFNER et al.   JOURNAL OF FLUID MECHANICS

Direct numerical simulation of turbulence in a nominally zero-pressure-gradient flat-plate boundary layer

(2009) XIAOHUA WU et al.   JOURNAL OF FLUID MECHANICS

Turbulent inflow conditions for large-eddy simulation based on low-order empirical model

(2008) Laurent Perret et al.   PHYSICS OF FLUIDS