Michael D. Graham

Michael D. Graham

University of Wisconsin-Madison

H-index: 60

North America-United States

About Michael D. Graham

Michael D. Graham, With an exceptional h-index of 60 and a recent h-index of 30 (since 2020), a distinguished researcher at University of Wisconsin-Madison, specializes in the field of Fluid dynamics, complex fluids.

His recent articles reflect a diverse array of research interests and contributions to the field:

Data-driven state-space and Koopman operator models of coherent state dynamics on invariant manifolds

Enhancing predictive capabilities in data-driven dynamical modeling with automatic differentiation: Koopman and neural ODE approaches

Nested traveling wave structures in elastoinertial turbulence

Flow instabilities in circular Couette flow of wormlike micelle solutions with a reentrant flow curve

Self-similar, spatially localized structures in turbulent pipe flow from a data-driven wavelet decomposition

Marginated aberrant red blood cells induce pathologic vascular stress fluctuations in a computational model of hematologic disorders

Unraveling Turbulent Pipe Flow Dynamics: Data-Driven Models at Re= 2500

20th International workshop on numerical methods in non-Newtonian flows

Michael D. Graham Information

University

Position

Steenbock Professor of Engineering Dept. of Chemical and Biological Engineering

Citations(all)

10313

Citations(since 2020)

3081

Cited By

8597

hIndex(all)

60

hIndex(since 2020)

30

i10Index(all)

135

i10Index(since 2020)

87

Email

University Profile Page

University of Wisconsin-Madison

Google Scholar

View Google Scholar Profile

Michael D. Graham Skills & Research Interests

Fluid dynamics

complex fluids

Top articles of Michael D. Graham

Title

Journal

Author(s)

Publication Date

Data-driven state-space and Koopman operator models of coherent state dynamics on invariant manifolds

Journal of Fluid Mechanics

C Ricardo Constante-Amores

Michael D Graham

2024/4

Enhancing predictive capabilities in data-driven dynamical modeling with automatic differentiation: Koopman and neural ODE approaches

Chaos: An Interdisciplinary Journal of Nonlinear Science

C Ricardo Constante-Amores

Alec J Linot

Michael D Graham

2024/4/1

Nested traveling wave structures in elastoinertial turbulence

arXiv preprint arXiv:2403.06815

Manish Kumar

Michael D Graham

2024/3/11

Flow instabilities in circular Couette flow of wormlike micelle solutions with a reentrant flow curve

Journal of Non-Newtonian Fluid Mechanics

Richard J Hommel

Michael D Graham

2024/2/1

Self-similar, spatially localized structures in turbulent pipe flow from a data-driven wavelet decomposition

Bulletin of the American Physical Society

Alex Guo

Daniel Floryan

Michael D. Graham

2023/11/20

Marginated aberrant red blood cells induce pathologic vascular stress fluctuations in a computational model of hematologic disorders

Science Advances

Xiaopo Cheng

Christina Caruso

Wilbur A Lam

Michael D Graham

2023/11/29

Unraveling Turbulent Pipe Flow Dynamics: Data-Driven Models at Re= 2500

Bulletin of the American Physical Society

C Ricardo Constante-Amores

Alec Linot

Michael Graham

2023/11/19

20th International workshop on numerical methods in non-Newtonian flows

Ian Frigaard

Michael D Graham

J Esteban López-Aguilar

Seyed M Taghavi

Lin Zhou

2023/3/1

Turbulence control in plane Couette flow using low-dimensional neural ODE-based models and deep reinforcement learning

International Journal of Heat and Fluid Flow

Alec J Linot

Kevin Zeng

Michael D Graham

2023/6/1

Elastoinertial nonlinear traveling waves

Bulletin of the American Physical Society

Manish Kumar

Michael Graham

2023/11/21

Effect of polymer additives on dynamics of water level in an open channel

Journal of Non-Newtonian Fluid Mechanics

Manish Kumar

Michael D Graham

2023/11/1

Stabilized neural ordinary differential equations for long-time forecasting of dynamical systems

Journal of Computational Physics

Alec J Linot

Joshua W Burby

Qi Tang

Prasanna Balaprakash

Michael D Graham

...

2023/2/1

Autoencoders for discovering manifold dimension and coordinates in data from complex dynamical systems

arXiv preprint arXiv:2305.01090

Kevin Zeng

Carlos E Pérez De Jesús

Andrew J Fox

Michael D Graham

2023/5/1

Free-space and near-wall dynamics of a flexible sheet sedimenting in Stokes flow

arXiv preprint arXiv:2310.08722

Yijiang Yu

Michael Graham

2023/10/12

Data-driven symmetry-aware low-dimensional models for predicting turbulent fluid flows

Bulletin of the American Physical Society

Carlos Perez De Jesus

Alec Linot

Michael Graham

2023/11/21

Dynamics of a data-driven low-dimensional model of turbulent minimal Couette flow

Journal of Fluid Mechanics

Alec J. Linot

Michael D. Graham

2023

Structure and dynamics of turbulence in viscoelastic channel flow

Science Talks

Michael D Graham

2023/5/1

Scattering-Informed Microstructure Prediction during Lagrangian Evolution (SIMPLE)—a data-driven framework for modeling complex fluids in flow

Rheologica Acta

Charles D Young

Patrick T Corona

Anukta Datta

Matthew E Helgeson

Michael D Graham

2023/10

Low-dimensional data-driven modeling through temporally parameterized neural networks for geophysical forecasting

Bulletin of the American Physical Society

Andrew Fox

Michael Graham

2023/11/19

Data-driven low-dimensional dynamic model of Kolmogorov flow

Physical Review Fluids

Carlos E Pérez De Jesús

Michael D Graham

2023/4/10

See List of Professors in Michael D. Graham University(University of Wisconsin-Madison)

Co-Authors

H-index: 117
Juan J. de Pablo

Juan J. de Pablo

University of Chicago

H-index: 86
Ioannis Kevrekidis

Ioannis Kevrekidis

Johns Hopkins University

H-index: 64
Kiyotaka Asakura

Kiyotaka Asakura

Hokkaido University

H-index: 47
Wilbur A. Lam, MD, PhD

Wilbur A. Lam, MD, PhD

Emory & Henry College

H-index: 47
harm hinrich rotermund

harm hinrich rotermund

Dalhousie University

H-index: 47
Todd Sulchek

Todd Sulchek

Georgia Institute of Technology

academic-engine