Jesse Capecelatro

Jesse Capecelatro

University of Michigan

H-index: 24

North America-United States

About Jesse Capecelatro

Jesse Capecelatro, With an exceptional h-index of 24 and a recent h-index of 23 (since 2020), a distinguished researcher at University of Michigan, specializes in the field of Fluid dynamics, multiphase flow, turbulence, combustion, computational fluid dynamics.

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

Gas–particle dynamics in high-speed flows

Experimental and numerical investigation of inertial particles in underexpanded jets

A critical assessment of the Energy Minimization Multi-Scale (EMMS) model

Fast estimation of pressure from PTV measurements using smooth particle hydrodynamics

Modeling particle dispersion in a turbulent puff

Adaptive energy stable artificial dissipation for preserving scalar boundedness in turbulent flows

Comprehensive quasi-steady force correlations for compressible flow through random particle suspensions

Euler-Lagrange scheme for modeling particle-laden flows in medical image-based geometries

Jesse Capecelatro Information

University

Position

Mechanical Engineering

Citations(all)

2305

Citations(since 2020)

1815

Cited By

1098

hIndex(all)

24

hIndex(since 2020)

23

i10Index(all)

36

i10Index(since 2020)

36

Email

University Profile Page

University of Michigan

Google Scholar

View Google Scholar Profile

Jesse Capecelatro Skills & Research Interests

Fluid dynamics

multiphase flow

turbulence

combustion

computational fluid dynamics

Top articles of Jesse Capecelatro

Title

Journal

Author(s)

Publication Date

Gas–particle dynamics in high-speed flows

Jesse Capecelatro

Justin L Wagner

2024/1/19

Experimental and numerical investigation of inertial particles in underexpanded jets

arXiv preprint arXiv:2404.07329

Meet Patel

Juan Sebastian Rubio

David Shekhtman

Nick Parziale

Jason Rabinovitch

...

2024/4/10

A critical assessment of the Energy Minimization Multi-Scale (EMMS) model

Pedram Pakseresht

Yuan Yao

Yi Fan

Jörg Theuerkauf

Jesse Capecelatro

2023/4/20

Fast estimation of pressure from PTV measurements using smooth particle hydrodynamics

Bulletin of the American Physical Society

Meet Patel

Sathvik Bhat

Harish Ganesh

Jesse Capecelatro

2023/11/19

Modeling particle dispersion in a turbulent puff

Bulletin of the American Physical Society

Max Herzog

Vikas Bhargav

William McAtee

Vrishank Raghav

Jesse Capecelatro

2023/11/20

Adaptive energy stable artificial dissipation for preserving scalar boundedness in turbulent flows

Computers & Fluids

Ali Kord

Jesse Capecelatro

2023/3/30

Comprehensive quasi-steady force correlations for compressible flow through random particle suspensions

International Journal of Multiphase Flow

Andreas Nygård Osnes

Magnus Vartdal

Mehdi Khalloufi

Jesse Capecelatro

Siva Balachandar

2023/8/1

Euler-Lagrange scheme for modeling particle-laden flows in medical image-based geometries

Bulletin of the American Physical Society

Abhilash Reddy Malipeddi

C Alberto Figueroa

Jesse Capecelatro

2023/11/20

Multiphase turbulence modeling using sparse regression and gene expression programming

Nuclear Technology

S Beetham

J Capecelatro

2023/12/2

Fast estimation of reaction rates in spherical and non-spherical porous catalysts

Chemical Engineering Journal

John P Wakefield

Aaron M Lattanzi

M Brennan Pecha

Peter N Ciesielski

Jesse Capecelatro

2023/2/15

Drag force of compressible flows past random arrays of spheres

International Journal of Multiphase Flow

Mehdi Khalloufi

Jesse Capecelatro

2023/8/1

Discovery of viscoelastic constitutive models with complexity-penalized sparse regression

Bulletin of the American Physical Society

Sarah Beetham

Konstantinos Zinelis

Thomas Abadie

Gareth McKinley

Omar Matar

...

2023/11/20

Volume filtered FEM-DEM framework for simulating particle-laden flows in complex geometries

arXiv preprint arXiv:2311.15989

Abhilash Reddy Malipeddi

C Alberto Figueroa

Jesse Capecelatro

2023/11/27

Volume-filtered Euler–Lagrange method for strongly coupled fluid–particle flows

Jesse Capecelatro

Olivier Desjardins

2023/1/1

Dynamic Bubble Tracking in Fluidized Beds Via Electrical Capacitance Volume Tomography

Chemical Engineering Journal

Brigham Watson

Lennard Lindmüller

Stefan Heinrich

Jörg Theuerkauf

Yuan Yao

...

2024/5/1

Turbulence transport in particle-laden compressible flows

Bulletin of the American Physical Society

Jesse Capecelatro

Archana Sridhar

Rodney Fox

2023/11/20

High-fidelity and reduced-order modelling of viscoelastic filaments

Bulletin of the American Physical Society

Konstantinos Zinelis

Sarah Beetham

Thomas Abadie

Gareth McKinley

Omar Matar

...

2023/11/21

A discrete-adjoint framework for optimizing high-fidelity simulations of turbulent reacting flows

Proceedings of the Combustion Institute

Ali Kord

Jesse Capecelatro

2023/1/1

Gas-particle dynamics in high-speed flows: Insights from 18th-century cannon firings to particle-resolved simulations

Science Talks

Jesse Capecelatro

2023/5/1

Optimizing nozzle designs to improve upstream turbulent mixing and downstream combustion efficiency in flares

Bulletin of the American Physical Society

Ashray Mohit

Jenna Stolzman

Margaret Wooldridge

Jesse Capecelatro

2023/11/19

See List of Professors in Jesse Capecelatro University(University of Michigan)

Co-Authors

H-index: 68
Rodney O. Fox

Rodney O. Fox

Iowa State University

H-index: 57
Andre Boehman

Andre Boehman

University of Michigan

H-index: 50
Jonathan Freund

Jonathan Freund

University of Illinois at Urbana-Champaign

H-index: 33
Shankar Subramaniam

Shankar Subramaniam

Iowa State University

H-index: 33
Olivier Desjardins

Olivier Desjardins

Cornell University

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