activity
20092026
most citedDeepM&Mnet: Inferring the electroconvection multiphysics fields based on operator approximation by neural networks

217 citations · 868 across the 46 of their papers we have counts for

collaborators

48 papers

cs.CY2026

Beyond Score Accuracy: Examining the Diagnostic Quality of LLM-Generated Structured Assessment in Higher Education

Xi Zhao, Xinyue Jiao, Zhen Xu

As Large Language Models (LLMs) are increasingly adopted for automated grading and feedback in higher education, their structured outputs, including multi-dimensional rubric scores…

physics.flu-dyn2026

Assimilation of wall-pressure measurements in direct numerical simulations of high-speed flow over a cone-flare geometry

Pierluigi Morra, Brett Tillman, Stuart Laurence +1

Ensemble-variational (EnVar) assimilation of wall-pressure measurements in direct numerical simulations of Mach 6 flow over a cone-flare is performed. The experimental data include…

physics.flu-dyn2025★ 1 cited

Latent-space variational data assimilation in two-dimensional turbulence

Andrew Cleary, Qi Wang, Tamer A. Zaki

Starting from limited measurements of a turbulent flow, data assimilation (DA) attempts to estimate all the spatio-temporal scales of motion. Success is dependent on whether the sy…

physics.flu-dyn2025

Lighthill's mechanism and vorticity cascade in the logarithmic layer of wall turbulence

Samvit Kumar, Simon Toedtli, Tamer A. Zaki +1

We investigate Lighthill's proposed turbulent mechanism for near-wall concentration of spanwise vorticity by calculating mean flows conditioned on motion away from or toward the wa…

physics.flu-dyn2025★ 6 cited

Vorticity dynamics and drag for flows over a sphere and a prolate spheroid

Yifan Du, Tamer A. Zaki

The connection between the drag and vorticity dynamics for viscous flow over a bluff body is explored using the Josephson-Anderson (J-A) relation for classical fluids. The instanta…

stat.ML2025

Accelerating Hamiltonian Monte Carlo for Bayesian Inference in Neural Networks and Neural Operators

Ponkrshnan Thiagarajan, Tamer A. Zaki, Michael D. Shields

Hamiltonian Monte Carlo (HMC) is a powerful and accurate method to sample from the posterior distribution in Bayesian inference. However, HMC techniques are computationally demandi…

physics.flu-dyn2025★ 8 cited

The origin of vorticity in viscous incompressible flows

Tianrui Xiang, Gregory L. Eyink, Tamer A. Zaki

In inviscid, incompressible flows, the evolution of vorticity is exactly equivalent to that of an infinitesimal material line-element, and hence vorticity can be traced forward or…

physics.flu-dyn2024★ 6 cited

Variational data assimilation in wall turbulence: From outer observations to wall stress and pressure

Mengze Wang, Tamer A. Zaki

Estimation of near-wall turbulence in channel flow from outer observations is investigated using adjoint-variational data assimilation. We first consider fully resolved velocity da…

math.NA2024

Multi evolutional deep neural networks (Multi-EDNN)

Hadden Kim, Tamer A. Zaki

Evolutional deep neural networks (EDNN) solve partial differential equations (PDEs) by marching the network representation of the solution fields, using the governing equations. Us…

physics.flu-dyn2023★ 2 cited

Targeted computation of nonlocal closure operators via an adjoint-based macroscopic forcing method

Jessie Liu, Florian Schäfer, Spencer H. Bryngelson +2

Reynolds-averaged Navier--Stokes (RANS) closure must be sensitive to the flow physics, including nonlocality and anisotropy of the effective eddy viscosity. Recent approaches used…

physics.flu-dyn2023★ 20 cited

Comparing local energy cascade rates in isotropic turbulence using structure function and filtering formulations

H. Yao, M. Schnaubelt, A. Szalay +2

Two common definitions of the spatially local rate of kinetic energy cascade at some scale in turbulent flows are (i) the cubic velocity difference term appearing in the gen…

physics.flu-dyn2023

Optimal two-dimensional roughness for transition delay in high-speed boundary layer

Reza Jahanbakhshi, Tamer A. Zaki

The influence of surface roughness on transition to turbulence in a Mach 4.5 boundary layer is studied using direct numerical simulations. Transition is initiated by the nonlinearl…

physics.flu-dyn2023★ 7 cited

Entropy and fluctuation relations in isotropic turbulence

H. Yao, T. A. Zaki, C. Meneveau

Based on a generalized local Kolmogorov-Hill equation expressing the evolution of kinetic energy integrated over spheres of size in the inertial range of fluid turbulence, w…

physics.flu-dyn2023★ 2 cited

Forward and inverse energy cascade and fluctuation relation in fluid turbulence adhere to Kolmogorov's refined similarity hypothesis

H. Yao, P. K. Yeung, T. A. Zaki +1

We study fluctuations of the local energy cascade rate in turbulent flows at scales () in the inertial range. According to the Kolmogorov refined similarity hypothes…

physics.flu-dyn2022★ 2 cited

State estimation in minimal turbulent channel flow: A comparative study of 4DVar and PINN

Yifan Du, Mengze Wang, Tamer A. Zaki

The state of turbulent, minimal-channel flow is estimated from spatio-temporal sparse observations of the velocity, using both a physics-informed neural network (PINN) and adjoint-…

physics.flu-dyn2022★ 59 cited

Reconstructing velocity and pressure from sparse noisy particle tracks using Physics-Informed Neural Networks

Patricio Clark Di Leoni, Karuna Agarwal, Tamer Zaki +2

Volume-resolving imaging techniques are rapidly advancing progress in experimental fluid mechanics. However, reconstructing the full and structured Eulerian velocity and pressure f…

physics.flu-dyn2022★ 28 cited

Assimilation of wall-pressure measurements in high-speed flow over a cone

David A. Buchta, Stuart J. Laurence, Tamer A. Zaki

A nonlinear ensemble-variational (EnVar) data assimilation is performed in order to estimate the unknown flow field over a slender cone at Mach-6, from isolated wall-pressure measu…

physics.flu-dyn2022

Spatio-temporal Signatures of Elasto-inertial Turbulence in Viscoelastic Planar Jets

Sami Yamani, Yashasvi Raj, Tamer A. Zaki +2

The interplay between viscoelasticity and inertia in dilute polymer solutions at high deformation rates can result in inertio-elastic instabilities. The nonlinear evolution of thes…

physics.flu-dyn2022★ 20 cited

Origin of Enhanced Skin Friction at the Onset of Boundary-Layer Transition

Mengze Wang, Gregory L. Eyink, Tamer A. Zaki

Boundary-layer transition is accompanied by a significant increase in skin friction whose origin is rigorously explained using the stochastic Lagrangian formulation of the Navier-S…

physics.flu-dyn2021★ 34 cited

Synchronization of turbulence in channel flow

Mengze Wang, Tamer A. Zaki

Synchronization of turbulence in channel flow is investigated using continuous data assimilation. The flow is unknown within a region of the channel. Beyond this region the velocit…

physics.flu-dyn2021

Simulations of turbulence over compliant walls

Amir Esteghamatian, Joseph Katz, Tamer A. Zaki

Direct numerical simulations of turbulent flow in a channel with one rigid and one viscoelastic wall are performed. An Eulerian-Eulerian model is adopted with a level-set approach…

physics.flu-dyn2021

Vorticity amplification in viscoelastic channel flows with long-wave surface distortions

Jacob Page, Tamer A. Zaki

Surface distortions to an otherwise planar channel flow introduce vorticity perturbations. We examine this scenario in viscoelastic fluids, and identify new mechanisms by which sig…

physics.flu-dyn2021

Ensemble-variational assimilation of statistical data in large eddy simulation

Vincent Mons, Yifan Du, Tamer A. Zaki

A non-intrusive data assimilation methodology is developed to improve the statistical predictions of large-eddy simulations (LES). The ensemble-variational (EnVar) approach aims to…

physics.flu-dyn2021

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

Tamer A. Zaki, Mengze Wang

Numerical simulations of turbulence provide non-intrusive access to all the resolved scales, although they often invoke idealizations that can compromise realism. In contrast, expe…