Crossref Citations
This article has been cited by the following publications. This list is generated based on data provided by
Crossref.
Kaneko, Kanji
Osawa, Takayuki
Kametani, Yukinori
Hayakawa, Takeshi
Hasegawa, Yosuke
and
Suzuki, Hiroaki
2018.
Numerical and Experimental Analyses of Three-Dimensional Unsteady Flow around a Micro-Pillar Subjected to Rotational Vibration.
Micromachines,
Vol. 9,
Issue. 12,
p.
668.
Güemes, A.
Discetti, S.
and
Ianiro, A.
2019.
Sensing the turbulent large-scale motions with their wall signature.
Physics of Fluids,
Vol. 31,
Issue. 12,
Wang, Mengze
Wang, Qi
and
Zaki, Tamer A.
2019.
Discrete adjoint of fractional-step incompressible Navier-Stokes solver in curvilinear coordinates and application to data assimilation.
Journal of Computational Physics,
Vol. 396,
Issue. ,
p.
427.
Guastoni, Luca
Encinar, Miguel P.
Schlatter, Philipp
Azizpour, Hossein
and
Vinuesa, Ricardo
2020.
Prediction of wall-bounded turbulence from wall quantities using convolutional neural networks.
Journal of Physics: Conference Series,
Vol. 1522,
Issue. 1,
p.
012022.
Kaithakkal, Arjun J.
Kametani, Yukinori
and
Hasegawa, Yosuke
2020.
Dissimilarity between turbulent heat and momentum transfer induced by a streamwise travelling wave of wall blowing and suction.
Journal of Fluid Mechanics,
Vol. 886,
Issue. ,
Clark Di Leoni, Patricio
Mazzino, Andrea
and
Biferale, Luca
2020.
Synchronization to Big Data: Nudging the Navier-Stokes Equations for Data Assimilation of Turbulent Flows.
Physical Review X,
Vol. 10,
Issue. 1,
Maulik, Romit
Fukami, Kai
Ramachandra, Nesar
Fukagata, Koji
and
Taira, Kunihiko
2020.
Probabilistic neural networks for fluid flow surrogate modeling and data recovery.
Physical Review Fluids,
Vol. 5,
Issue. 10,
Kaithakkal, Arjun J.
Kametani, Yukinori
and
Hasegawa, Yosuke
2021.
Dissimilar heat transfer enhancement in a fully developed laminar channel flow subjected to a traveling wave-like wall blowing and suction.
International Journal of Heat and Mass Transfer,
Vol. 164,
Issue. ,
p.
120485.
Guastoni, Luca
Güemes, Alejandro
Ianiro, Andrea
Discetti, Stefano
Schlatter, Philipp
Azizpour, Hossein
and
Vinuesa, Ricardo
2021.
Convolutional-network models to predict wall-bounded turbulence from wall quantities.
Journal of Fluid Mechanics,
Vol. 928,
Issue. ,
Morimoto, Masaki
Fukami, Kai
and
Fukagata, Koji
2021.
Experimental velocity data estimation for imperfect particle images using machine learning.
Physics of Fluids,
Vol. 33,
Issue. 8,
Gupta, Vikrant
Madhusudanan, Anagha
Wan, Minping
Illingworth, Simon J.
and
Juniper, Matthew P.
2021.
Linear-model-based estimation in wall turbulence: improved stochastic forcing and eddy viscosity terms.
Journal of Fluid Mechanics,
Vol. 925,
Issue. ,
Fukami, Kai
Maulik, Romit
Ramachandra, Nesar
Fukagata, Koji
and
Taira, Kunihiko
2021.
Global field reconstruction from sparse sensors with Voronoi tessellation-assisted deep learning.
Nature Machine Intelligence,
Vol. 3,
Issue. 11,
p.
945.
Zaki, Tamer A.
and
Wang, Mengze
2021.
From limited observations to the state of turbulence: Fundamental difficulties of flow reconstruction.
Physical Review Fluids,
Vol. 6,
Issue. 10,
Wang, Mengze
and
Zaki, Tamer A.
2021.
State estimation in turbulent channel flow from limited observations.
Journal of Fluid Mechanics,
Vol. 917,
Issue. ,
Wang, Qi
Wang, Mengze
and
Zaki, Tamer A.
2022.
What is observable from wall data in turbulent channel flow?.
Journal of Fluid Mechanics,
Vol. 941,
Issue. ,
Nakamura, Taichi
Fukami, Kai
and
Fukagata, Koji
2022.
Identifying key differences between linear stochastic estimation and neural networks for fluid flow regressions.
Scientific Reports,
Vol. 12,
Issue. 1,
Nakamura, Taichi
and
Fukagata, Koji
2022.
Robust training approach of neural networks for fluid flow state estimations.
International Journal of Heat and Fluid Flow,
Vol. 96,
Issue. ,
p.
108997.
Zauner, M.
Mons, V.
Marquet, O.
and
Leclaire, B.
2022.
Nudging-based data assimilation of the turbulent flow around a square cylinder.
Journal of Fluid Mechanics,
Vol. 937,
Issue. ,
Du, Yifan
Wang, Mengze
and
Zaki, Tamer A.
2023.
State estimation in minimal turbulent channel flow: A comparative study of 4DVar and PINN.
International Journal of Heat and Fluid Flow,
Vol. 99,
Issue. ,
p.
109073.
Sirmacek, B.
Gupta, S.
Mallor, F.
Azizpour, H.
Ban, Y.
Eivazi, H.
Fang, H.
Golzar, F.
Leite, I.
Melsion, G. I.
Smith, K.
Fuso Nerini, F.
and
Vinuesa, R.
2023.
The Ethics of Artificial Intelligence for the Sustainable Development Goals.
Vol. 152,
Issue. ,
p.
65.