Author

Mike Graham

Steenbock Professor of Engineering, Dept. of Chemical and Biological Engineering, UW-Madison - Cited by 9,929 - Fluid dynamics - complex fluids

Biography

Mike Graham is working in the Visiting Professor, Ningbo University, China. Mike Graham international experience includes various programs, contributions and participation in different countries for diverse fields of study. Mike Graham research interests reflect wide range of publications in various national and international journals.
Title
Cited by
Year
Exact coherent states and the nonlinear dynamics of wall-bounded turbulent flows
MD Graham, D FloryanAnnual Review of Fluid Mechanics 53, 227-253, 2021202
64
2021
Perspectives on viscoelastic flow instabilities and elastic turbulence
SS Datta, AM Ardekani, PE Arratia, AN Beris, I Bischofberger, ...Physical Review Fluids 7 (8), 080701, 2022202
52
2022
Modeling and analysis principles for chemical and biological engineers
MD Graham, JB RawlingsNob Hill Publishing, 222
20
2022
Symmetry reduction for deep reinforcement learning active control of chaotic spatiotemporal dynamics
K Zeng, MD GrahamPhysical Review E 104 (1), 014210, 2021202
17
2021
Tollmien-Schlichting route to elastoinertial turbulence in channel flow
A Shekar, RM McMullen, BJ McKeon, MD GrahamPhysical Review Fluids 6 (9), 093301, 2021202
17
2021
Data-driven discovery of intrinsic dynamics
D Floryan, MD GrahamNature Machine Intelligence 4 (12), 1113-1120, 2022202
14
2022
Data-driven reduced-order modeling of spatiotemporal chaos with neural ordinary differential equations
AJ Linot, MD GrahamChaos: An Interdisciplinary Journal of Nonlinear Science 32 (7), 2022202
12
2022
Coil–stretch-like transition of elastic sheets in extensional flows
Y Yu, MD GrahamSoft Matter 17 (3), 543-553, 2021202
11
2021
Stabilized neural ordinary differential equations for long-time forecasting of dynamical systems
AJ Linot, JW Burby, Q Tang, P Balaprakash, MD Graham, R MaulikJournal of Computational Physics 474, 1838, 2023202
11
2023
Data-driven control of spatiotemporal chaos with reduced-order neural ODE-based models and reinforcement learning
K Zeng, AJ Linot, MD GrahamProceedings of the Royal Society A 47 (2267), 20220297, 2022202
8
2022
Constitutive modeling of dilute wormlike micelle solutions: Shear-induced structure and transient dynamics
RJ Hommel, MD GrahamJournal of Non-Newtonian Fluid Mechanics 295, 104606, 2021202
7
2021
Discovering multiscale and self-similar structure with data-driven wavelets
D Floryan, MD GrahamProceedings of the National Academy of Sciences 118 (1), e2021299118, 2021202
7
2021
Charts and atlases for nonlinear data-driven models of dynamics on manifolds
D Floryan, MD GrahamarXiv preprint arXiv:2108.05928, 2021202
4
2021
Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning
AJ Linot, K Zeng, MD GrahamInternational Journal of Heat and Fluid Flow 101, 109139, 2023202
4
2023
Pathologic mechanobiological interactions between red blood cells and endothelial cells directly induce vasculopathy in iron deficiency anemia
C Caruso, ME Fay, X Cheng, AY Liu, SI Park, TA Sulchek, MD Graham, ...IScience 25 (7), 104606, 2022202
3
2022
Data-driven low-dimensional dynamic model of Kolmogorov flow
CEP De Jesús, MD GrahamPhysical Review Fluids 8 (4), 044402, 20220
3
2023
Wrinkling and multiplicity in the dynamics of deformable sheets in uniaxial extensional flow
Y Yu, MD GrahamPhysical Review Fluids 7 (), 03601, 0
2
2022
Learning turbulence control strategies with data-driven reduced-order models and deep reinforcement learning
K Zeng, A Linot, MD Graham1th Int. Symp. on Turbulence and Shear Flow Phenomena (TSFP1) Osaka, Japan …, 0
2
2022
Deep learning delay coordinate dynamics for chaotic attractors from partial observable data
CD Young, MD GrahamPhysical Review E 107 (3), 03415, 030
2
2023
Dynamics of a data-driven low-dimensional model of turbulent minimal Couette flow
AJ Linot, MD GrahamarXiv preprint arXiv:230.04638, 2023202
1
2023

Referred From: https://scholar.google.com/citations?user=BK1w9CMAAAAJ&hl=en

Cited by
Citations 9929
h-index 58
i10-index 132
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