Publications

Congratulations to Dr Simon Haward for his figure being selected as a cover image in Physics of Fluids.

Haward, S. J., Page, J., Zaki, T. A. & Shen, A. Q. 2018 “Phase diagram” for viscoelastic Poiseuille flow over a wavy surfacePhys. Fluids 30, 113101.

DOI: https://doi.org/10.1063/1.5057392

 

 

JFM_V772_Cover

Congratulations to Dr Seo Yoon Jung for his figure being selected as a cover image in Journal of Fluid Mechanics.

Jung, S.Y. & Zaki, T. A. 2015 The effect of a low-viscosity near-wall film on bypass transition in boundary layers. J. Fluid Mech. 772, 330-360.

DOI: http://dx.doi.org/10.1017/jfm.2015.214

 

 
 

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Journal Articles

1.

Mons, Vincent; Du, Yifan; Zaki, Tamer A.

Ensemble-variational assimilation of statistical data in large-eddy simulation Journal Article

In: Phys. Rev. Fluids, vol. 6, iss. 10, pp. 104607, 2021.

Links | BibTeX | Tags: Channel, Data assimilation, Ensemble Variational Methods, EnVar, LES, Turbulence

2.

Zaki, Tamer A.; Wang, Mengze

From limited observations to the state of turbulence: Fundamental difficulties of flow reconstruction Journal Article

In: Phys. Rev. Fluids, vol. 6, iss. 10, pp. 100501, 2021.

Links | BibTeX | Tags: Data assimilation, Ensemble Variational Methods, EnVar, Turbulence

3.

Mao, Zhiping; Lu, Lu; Marxen, Olaf; Zaki, Tamer A.; Karniadakis, George Em

DeepM&Mnet for hypersonics: Predicting the coupled flow and finite-rate chemistry behind a normal shock using neural-network approximation of operators Journal Article

In: Journal of Computational Physics, vol. 447, pp. 110698, 2021, ISSN: 0021-9991.

Links | BibTeX | Tags: Chemically reacting flow, Data assimilation, Deep learning, DeepONet, Hypersonic, Operator approximation

4.

Cai, Shengze; Wang, Zhicheng; Lu, Lu; Zaki, Tamer A.; Karniadakis, George Em

DeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks Journal Article

In: Journal of Computational Physics, vol. 436, pp. 110296, 2021, ISSN: 0021-9991.

Links | BibTeX | Tags: Data assimilation, Deep learning, DeepONet, Multiscale modeling, Mutiphysics, Operator approximation

5.

Buchta, David A.; Zaki, Tamer A.

Observation-infused simulations of high-speed boundary-layer transition Journal Article

In: Journal of Fluid Mechanics, vol. 916, pp. A44, 2021.

Links | BibTeX | Tags: Data assimilation, Ensemble Variational Methods, EnVar, Hypersonic

6.

Wang, Mengze; Zaki, Tamer A.

State estimation in turbulent channel flow from limited observations Journal Article

In: Journal of Fluid Mechanics, vol. 917, pp. A9, 2021.

Links | BibTeX | Tags: Adjoint, Channel, Data assimilation, Turbulence

7.

Wu, Zhao; Zaki, Tamer A; Meneveau, Charles

Data compression for turbulence databases using spatiotemporal subsampling and local resimulation Journal Article

In: Phys. Rev. Fluids, vol. 5, pp. 064607, 2020.

Links | BibTeX | Tags: Data assimilation

8.

Wang, Mengze; Wang, Qi; Zaki, Tamer A

Discrete adjoint of fractional-step incompressible Navier-Stokes solver in curvilinear coordinates and application to data assimilation Journal Article

In: Journal of Computational Physics, vol. 396, pp. 427 - 450, 2019, ISSN: 0021-9991.

Abstract | Links | BibTeX | Tags: Data assimilation, Discrete adjoint, Fraction-step algorithm, Generalized coordinates, Navier-Stokes, Taylor-Couette flow

9.

Mons, Vincent; Wang, Qi; Zaki, Tamer A

Kriging-enhanced ensemble variational data assimilation for scalar-source identification in turbulent environments Journal Article

In: Journal of Computational Physics, vol. 398, pp. 108856, 2019, ISSN: 0021-9991.

Abstract | Links | BibTeX | Tags: Channel, Data assimilation, Optimization, Scalar dispersion, Sensor placement, Source identification, Turbulence