Match tier
Confirmed
Presence
Current · Arkansas
Last published
2025
Sources
OpenAlex · ORCID
Refreshed
2026-08-15
P
Paul C. Millett
Affiliation confirmed via AI analysis of OpenAlex, ORCID, and web sources.
High Impact
Associate Professor
Also affiliated: National Institute of Aerospace (2008); Los Alamos National Laboratory (2012); Idaho National Laboratory (2007–2013); University of Florida (2009); Institut für Nachhaltige Landbewirtschaftung (Germany) (2024); Material Sciences (United States) (2008)
Faculty Researcher
35 h-index
111 pubs
3,598 cited
Research Areas
Biomedical Subjects
Links
Biography and Research Information
OverviewAI-generated summary
Paul C. Millett investigates cardiovascular function and risk factors, with a specific focus on congenital heart disease and conditions like Williams Syndrome. His research utilizes computational modeling and simulation to predict pressure drop in conditions such as supravalvar aortic stenosis, as demonstrated by a patient-based computational model he developed. Millett also explores the hemodynamics of blood flow in aortic vessels, particularly in patients with congenital heart abnormalities.
Beyond cardiovascular research, Millett's work extends into materials science and fluid dynamics. He has published on topics including the phase behavior of colloidal particles, rheology of elastic capsule suspensions, and the nanoscale investigation of photothermal action in gold nanostructures. His scholarship metrics include an h-index of 35 and over 3,495 citations across 111 publications, designating him as a highly cited researcher. He collaborates with researchers at the University of Arkansas at Fayetteville and the University of Arkansas for Medical Sciences.
Metrics
- h-index: 35
- Publications: 111
- Citations: 3,598
Selected Publications
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Experimental and computational models for intracardiac flow analysis with blood speckle imaging (2026)
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Oscillatory flow improves hydrodynamic ordering of soft suspensions in rectangular channels (2025)
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Numerical study of hemodynamic flow in the aortic vessel of Williams syndrome patient with congenital heart disease (2024)
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Order–disorder transitions within deformable particle suspensions in planar Poiseuille flow (2024)
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Numerical Study of Hemodynamic Flow in the Aortic Vessel of Williams Syndrome Patient with Congenital Heart Disease (2024)
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Numerical Studies of Hemodynamic Flow in the Aortic Vessel of Patients With Congenital Heart Disease (2023)
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Rheology and structure of elastic capsule suspensions within rectangular channels (2023)
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A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome (2021)
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The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity* (2021)
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A review on models and simulations of membrane formation via phase inversion processes (2021)
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Nanoscale investigation and control of photothermal action of gold nanostructure-coated surfaces (2021)
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A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome (2021)
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Numerical study of the phase behavior of rod-like colloidal particles with attractive tips (2021)
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Nanoscale Investigation and Control of Photothermal Action of Gold Nanostructure-coated Surfaces (2020)
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Fluid-Structure Interaction Modeling and Validation of Idealized Left Ventricular Blood Flow (2020)
Collaboration Network
Top Collaborators
Morten Ø. Jensen
University of Arkansas for Medical Sciences
6 shared publications
In database
- Numerical study of hemodynamic flow in the aortic vessel of Williams syndrome patient with congenital heart disease
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- Numerical Study of Hemodynamic Flow in the Aortic Vessel of Williams Syndrome Patient with Congenital Heart Disease
Showing 5 of 6 shared publications
Justin T. Jack
University of Arkansas at Fayetteville
5 shared publications
In database
- Numerical study of hemodynamic flow in the aortic vessel of Williams syndrome patient with congenital heart disease
- Numerical study of the phase behavior of rod-like colloidal particles with attractive tips
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- Numerical Studies of Hemodynamic Flow in the Aortic Vessel of Patients With Congenital Heart Disease
- Experimental and computational models for intracardiac flow analysis with blood speckle imaging
R. Thomas Collins
University of Kentucky (US)
4 shared publications
- Numerical study of hemodynamic flow in the aortic vessel of Williams syndrome patient with congenital heart disease
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
Sam E. Stephens
University of Arkansas at Fayetteville
4 shared publications
In database
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- Experimental and computational models for intracardiac flow analysis with blood speckle imaging
Dana B. Gal
Stanford University (US)
3 shared publications
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
Hanna Jensen
University of Arkansas for Medical Sciences
3 shared publications
In database
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
Elijah H. Bolin
Arkansas Children's Hospital
3 shared publications
In database
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
Joshua Daily
Arkansas Children's Hospital
3 shared publications
In database
- The Sinotubular Junction-to-Aortic Annulus Ratio as a Determinant of Supravalvar Aortic Stenosis Severity*
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
Frandics P. Chan
Stanford University (US)
3 shared publications
- Numerical study of hemodynamic flow in the aortic vessel of Williams syndrome patient with congenital heart disease
- Numerical Study of Hemodynamic Flow in the Aortic Vessel of Williams Syndrome Patient with Congenital Heart Disease
- Numerical Studies of Hemodynamic Flow in the Aortic Vessel of Patients With Congenital Heart Disease
Kirstie MacMillen
Lucile Packard Children's Hospital (US)
2 shared publications
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
- A Patient-based Computational Model that Predicts Pressure Drop in Supravalvar Aortic Stenosis in Patients with Williams Syndrome
Thomas R. Collins
University of Kentucky (US)
2 shared publications
- Numerical Study of Hemodynamic Flow in the Aortic Vessel of Williams Syndrome Patient with Congenital Heart Disease
- Numerical Studies of Hemodynamic Flow in the Aortic Vessel of Patients With Congenital Heart Disease
Samir V. Jenkins
University of Arkansas for Medical Sciences
1 shared publication
In database
- Nanoscale investigation and control of photothermal action of gold nanostructure-coated surfaces
Seung-Hyun Jung
University of Arkansas for Medical Sciences (US)
1 shared publication
- Nanoscale investigation and control of photothermal action of gold nanostructure-coated surfaces
Shruti Shah
University of Arkansas for Medical Sciences (US)
1 shared publication
- Nanoscale investigation and control of photothermal action of gold nanostructure-coated surfaces
Ruud P.M. Dings
University of Arkansas for Medical Sciences
1 shared publication
In database
- Nanoscale investigation and control of photothermal action of gold nanostructure-coated surfaces
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