Group

Principal Investigator

Graduate students

Undergraduate students

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Research

Research Highlights

Large-scale visualization of coarse-grained dissipation field in homogeneous, isotropic turbulence

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Publications

• Dependence of the asymptotic energy dissipation on third-order velocity scaling, Phys. Rev. Fluids, 8, L082601 (2023) [Article]
• Asymmetry of velocity increments in turbulence, with K. R. Sreenivasan and A. Vinodh, Phys. Rev. Res., 4, L042002 (2022) [Article], [arXiv].
• Liquid-Metal Flows Show Surprising Heat Transport Behavior, 15, 57 (2022) [Article].
• Nonlinear amplification in hydrodynamic turbulence, with K. R. Sreenivasan and P.  K. Yeung, J. Fluid. Mech., 930, R2 (2022) [Article].
• The area rule for circulation in three-dimensional turbulence, with S. S. Bharadwaj, K. R. Sreenivasan, Proc. Nat. Acad. Sci. 118, e2114679118 (2021) [Article], [arXiv].
• Oscillations Modulating Power Law Exponents in Isotropic Turbulence: Comparison of Experiments with Simulations, with G. P. Bewley, L. Biferale, K. R. Sreenivasan and P. K. Yeung, Phys. Rev. Lett. 126, 254501 (2021) [Article], [arXiv].
• Reply to He et al.: The dependence of heat transport law on aspect ratio is still unclear, with J. D. Scheel, J. Schumacher and K. R. Sreenivasan, Proc. Nat. Acad. Sci., 117, 30024-30024 (2020) [Article].
• Classical 1/3 scaling of convection holds up to Ra = 10¹⁵, with J. D. Scheel, J. Schumacher and K. R. Sreenivasan, Proc. Nat. Acad. Sci., 117, 7594-7598 (2020) [Article].
• Scaling exponents saturate in three-dimensional isotropic turbulence, with K. R. Sreenivasan and P.  K. Yeung, Phys. Rev. Fluids 5, 054605 (2020) [Article], [arXiv].
• Fractal iso-level sets in high-Reynolds-number scalar turbulence, with J. Schumacher, K. R. Sreenivasan and P. K. Yeung, Phys. Rev. Fluids 5, 044501 (2020) [Article], [arXiv].
• Circulation in High Reynolds Number Isotropic Turbulence is a Bifractal, with K. R. Sreenivasan and P. K. Yeung, Phys. Rev. X 9, 041006 (2019) [Article], [arXiv].
• Self-Similar Subgrid-Scale Models for Inertial Range Turbulence and Accurate Measurements of Intermittency, with L. Biferale, F. Bonaccorso and M. Buzzicotti, Phys. Rev. Lett. 123, 014503 (2019) [Article], [arXiv].
• Scaling of locally averaged energy dissipation and enstrophy density in isotropic turbulence, with J. Schumacher, K. R. Sreenivasan and P. K. Yeung, New J. Phys. 21, 033016 (2019) [Article].
• Steep Cliffs and Saturated Exponents in Three-Dimensional Scalar Turbulence, with J. Schumacher, K. R. Sreenivasan and P. K. Yeung, Phys. Rev. Lett. 121, 264501 (2018) [Article].
• Multiscale anisotropic fluctuations in sheared turbulence with multiple states, with F. Bonaccorso, L. Biferale and F. Toschi, Phys. Rev. Fluids 2, 052602(R) (2017) [Article], [arXiv].
• Reynolds number scaling of velocity increments in isotropic turbulence, with K. R. Sreenivasan and P.  K. Yeung, Phys. Rev. E 95, 021101(R) (2017) [Article].
• Refined similarity hypothesis using three-dimensional local averages, with K. R. Sreenivasan and P.  K. Yeung, Phys. Rev. E 92, 063024 (2015) [Article], [arXiv].
• Rotating turbulence under “precession-like” perturbation, with I. Mazzitelli,  F. Bonaccorso, A. Pouquet and L. Biferale, Eur. Phys. J. E 38,  128 (2015) [Article], [arXiv].
• Structure functions and applicability of Yaglom’s relation in passive-scalar turbulent mixing at low Schmidt numbers with uniform mean gradient, with P. K. Yeung, Phys. Fluids 26, 085107 (2014) [Article].
• On the communication complexity of 3D FFTs and its implications for Exascale, with Kenneth Czechowski, Casey Battaglino, Chris McClanahan, P. K. Yeung, Richard Vuduc, ICS ’12: Proc. 26th ACM Int. Conf. Supercomput., 205-214 (2012) [Article].
• On the role of vortical structures for turbulent mixing using direct numerical simulation and wavelet-based coherent vorticity extraction, with B. Kadoch, D. Donzis, M. Schneider, M. Farge and P. K. Yeung, J. Turbul. 12, N20 (2011) [Article].

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Teaching

Here are the courses Dr. Iyer has taught or is currently teaching:

Methods of Theoretical Physics PH 3320

This course aims to extrapolate concepts such as distance, orthogonality and dimensionality from familiar Euclidean vector spaces to abstract vector spaces . Topics include certain elements of real analysis such as convergence of sequences and infinite series, complex numbers, differentiation and integration in R^p and partial differential equations.  The overarching goal is to develop familiarity with mathematical tools useful for physics applications. 

• Fall 2020
• Fall 2021
• https://mtu.instructure.com/courses/1369163
• Location: Fisher 129, MWF 12 – 12:50 pm (Fall 2021)
• Office hours: Tue 3-4:30 pm; Fisher 109

Computational Fluid Dynamics MEEM 5240

• This class serves as an introductory level course for using computational tools for fluid flow analysis. Topics covered include finite-difference and finite-volume methods, mathematical classification and numerical stability analysis of the equations of fluid motion. Emphasis is given to gaining numerical dexterity with implicit and explicit fluid solvers and generation of computational grids for simple flow geometries.

• Spring 2021
• Spring 2022
• https://mtu.instructure.com/courses/1347853
• Location RL Smith 303

Service

• Dr. Iyer is the co-chair of the Physics Colloqium at Michigan Tech.
  • The weekly colloqium schedule can be found here.
• Dr. Iyer serves in the graduate seminar committee in the Mechanical Engineering-Engineering Mechanics Department at Michigan Tech.
  • The weekly seminar information can be found here.

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Funding

• NSF Award 2133229: A Community Laboratory Facility for Exploring and Sensing of Aerosol-Cloud-Drizzle Processes: The Aerosol-Cloud-Drizzle Convection Chamber
• XSEDE Allocation Request PHY200084: Topological vorticity sheets and scalar triple correlations in turbulence

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Contact