I am a second year Ph.D. student studying Computational Science and Engineering at Georgia Institute of Technology.
My primary research is on the modeling of gas liquid interfaces under high amplitude accelerations, but I also make regular
contributions to MFC, an exascale ready multiphase flow code that scales to 10's of thousands of GPUs. When I'm not busy with school
or research I enjoy spending time outdoors camping, hiking, and climbing or indoors playing board games and enjoying a craft beer.
Some of my Work
Vorticy Shedding of a Shock Inpinged Droplet
Atomization of a 3D water droplet in air impinged by a Mach 1.46
shockwave. A 2000 x 1000 x 1000 cartesian grid is used to discretize the computationl
domain. The flow was simulated for 200k time-steps with snapshots saved every 1k
time-steps. The simulation required four hours of wall time using 960 GPUs on OLCF
Summit. The video shows the development of the isosurface at which the vorticity is
Radkhakrishnan, A., Le Berre, H., Wilfong, B., Spratt, J.-S., Rodriguez Jr., M., Colonius, T., & Bryngelson, S. H. (2023). Method for portable, scalable, and performant GPU-accelerated simulation of multiphase compressible flow. arXiv: 2305.09163. (preprint)
Archival papers and reports
Relevant Work Experience
Defence Science and Technology Intern - Lawrence Livermore National Lab
June 2022 - August 2022
In this position I taught myself how to use ALE3D for the purposes of modeling a high explosive point to line generator
with the purpose of accelerating flyer plates for the measurement of dynamic material properties.
Summer Intern - Lawrence Livermore National Lab
June 2021 - August 2021
In this position I performed all-atom and coarse-grain molecular dynamics calculations using LAMMPS to model polymerization
for volumetric additive manufacturing.
Ph.D. Computational Science and Engineering
Georgia Institute of Technology
August 2022 - Current
Iterative Methods for Systems of Equations (Fall 2023)
Numerical Linear Algebra (Spring 2023)
Modeling and Simulation (Spring 2023)
Computational Science and Engineering Algorithms (Fall 2022)