Aaron Barrett

Research Assistant Professor

Department of Mathematics

University of Utah

Office: LCB 315

E-mail: barrett@math.utah.edu

Education: Ph.D. University of North Carolina at Chapel Hill, 2019

Research

Flow past a confined cylinder at Weissenberg number 0.7.

Immersed Boundary Method

I am a developer of the open source code IBAMR, which is a MPI parallelized implementation of the immersed boundary method with adaptive mesh refinement. Most of my work, in some way or another, is directly related to using or developing this software. More information can be found at ibamr.github.io.

Relevant publications:

Github project:

2D aortic stenosis model with accumulation on both leaflets.

Blood Clotting in Complex Geometries

Blood clotting is a complicated phenomenon with many interesting mathematical questions. At the microscale are dozens of complex chemical reactions to activate and bind platelets. While at the macroscale there are complex tissues and fluid motion. One question that we focus on is how the internal mechanics of the blood clots affect the hemodynamics in different tissues.

Relevant publications:

Github project:

Conversion of one concentration into another across a vesicle in oscillatory Couette flow

Numerical Methods for PDEs in Complex, Time-evolving domains

Many biological systems involve concentration fields that advect with a fluid and diffuse over a complex, moving domain, for example leaflet thrombosis, particulate transport in the lungs, and drug absorption in the gut. We develop scalable and efficient methods to solve advection diffusion problems with general boundary conditions on complex surfaces.

Relevant publications:

Github project:



Three overlapped flagella in three different fluids: Newtonian, Deborah number of 0.3, and Deborah number of 0.7

Fluid-Structure Interaction in Viscoelastic Fluids

My dissertation work at UNC-CH was related to developing and implementing numerical methods for viscoelastic fluids based on Oldroyd-B models. We used these methods to develop models of bacterial locomotion in viscoelastic fluids.

Relevant publications:

Teaching

Spring 2022:

Spring 2021: