Intern Positions

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As part of the review and approval process for students applying for internships, accepted applicants were associated with an approved intern position.

Project TitleSummaryCreatorInstitution
This undergraduate student internship will involve developing parallel numerical codes for the simulation of energy transport and conversion in nanostructured semiconductor materials and devices. We will then proceed to study nanostructured thermoelectric devices for energy conversion with the goal of improving energy conversion efficiency and energy performance in nanoelectronics.Zlatan Aksamija
University of Massachusetts Amherst UMass
Amherst, MA
The objective of this internship will be to complete a project analyzing the importance of model physics (particularly cumulus and boundary layer physics) in simulating environments associated with tornadogenesis within tropical cyclones. Numerous tornado-producing tropical cyclones will be simulated using the Weather Research and Forecasting Model with varied model physics to assess the sensitivity of those simulations on the selection of boundary layer physics and cumulus physics.Andrew Mercer
Mississippi State University
Mississippi State, MS
Despite roughly $3 billion of annual expenditure on heart-attack and brain-stroke research, these diseases that are both caused by break-ups of blood clots, remain the 1st and 4th leading cause of death in the US, respectively (killing ~750k Americans every year). Our group is combining Nobel Laureate-developed Lattice Light Sheet Microscopy (available to only ~20 other labs in the world) with parallelized image-based Lattice Boltzmann Method computational fluid dynamics in order to investigate a novel mechanism of blood clot formation. The success of this project could lead to a novel class of anti-thrombotic drugs that could selectively dissolve just the dangerous part of the blood clot, while leaving the useful one intact.Roman Voronov
New Jersey Institute of Technology
Newark, NJ
Primary duties for the position involve analysis of numerical simulations of cosmic reionization on Blue Waters supercomputer. The work will consist of accessing the simulation data, running analysis software such as halo finders, and developing new analysis tools for measuring reionization histories of halos of various masses.Nick Gnedin
University of Chicago
Chicago, IL
Magnetic resonance imaging (MRI) robotics is an emerging technology for minimally invasive intervention, automated robotic surgery, and therapeutic delivery. Micro/Nano robots in blood vessels can be driven and propelled by magnetic gradients with predefined path to deliver drugs or cells. To shorten steering distance, optimal path planning and steering algorithms are required to achieve targeted delivery quickly and accurately. In this project, the internship will focus on research of several path planning and steering algorithms in vascular network. Specifically, magnetic resonance angiography (MRA) image is preliminarily processed to generate blood vessels at first. Then, path planning method of A* algorithm, genetic algorithm, and neural network algorithm will be investigated and evaluated. The success of this project is able to identify short path planning and fast steering algorithm in real-time of MR scan.Yuchou Chang
University of Houston-Downtown
Houston, TX
The goal of this position is to support the continued development of a highly parallelized computational approach for prediction of electromagnetic field distributions in novel photonic micro- and nanostructured devices, which are currently being investigated at Georgia Southern University.Maxim Durach
Georgia Southern University
Statesboro, GA
Plant hormone receptors are proteins involved in perception of hormones that play a critical role in helping plant adapt to the changes in environmental conditions such as high temperature, water or nutrient scarcity. Despite the tremendous progress has been achieved in elucidating the mechanisms of plant hormone perception, the molecular mechanisms of their perception remain elusive. In this project, the intern will work closely with a graduate student in the Shukla group at Illinois to perform extensive molecular simulations of all 9 plant hormone receptors using Blue Waters to elucidate their mechanism of perception.Diwakar Shukla
University of Illinois at Urbana-Champaign
Urbana-Champaign, IL
The intern will perform N-Body simulations of planetary systems detected via radial velocity techniques, in order to understand the gravitational stability of the systems and determine any modifications that need to be made to orbital parameters as a result. While individual simulations are not largely conducive to parallelization, due to the small number of bodies in the system, typical results of radial velocity analysis produce a probability distribution for the exoplanetary system, rather than a single specific value, thus we need to analyze each system many times and not just once for stability. Probing a sample of the solution, including an investigation of inclination which cannot be determined via the radial velocity technique, provides information helping to constrain results. This sample is highly concurrent in nature, and will benefit from parallelization.David Joiner
Kean University
Union, NJ
Owls are so quiet that a human would not hear one flying past their ear! Currently, it is believed that the owl’s astounding acoustic stealth relates to the poroelastic properties of its wings, as plumage and feathers can be considered an intricate net of fibers equivalent to an elastic and porous surface. Although this link is well accepted, the physics behind such correlations are poorly quantified and understood. Our goal is to quantitatively characterize the poroelastic flow-acoustic mechanisms underlying silent locomotion through fluids via a combination of state-of-the-art flow-structure interaction computations, acoustic simulations and evolutionary optimization techniques. These insights will enable us to design for sound by leveraging morphology, elasticity and porosity. This effort cuts across many areas of high current importance: aviation, drones, acoustic flyers detection, and quality of life in a quiet environment. Mattia Gazzola
University of Illinois at Urbana-Champaign
Urbana-Champaign, IL
Some transition metal oxides make great catalysts, but transform into ineffective structures at the high temperatures where we wish to use them. This project focuses on understanding what chemicals can help prevent the catalysts from transforming without harming the catalyst's ability to perform the desired reactions. Molecular dynamics (MD) simulations of small organic molecules on oxide surfaces and within oxide pores will be used to discover the properties of such helpful chemicals. Eric Jankowski
Boise State University
Boise, ID
Protein structure studies pose fundamental questions that supercomputing-enabled modern machine learning methods can help to answer. Our Blue Waters Intern Team devised a novel dimension mapping method to leverage popular convolutional neural network models and Blue Waters facility with preliminary success . We propose to expand the scope and scale of our research by applying it to areas such as protein model evaluation and docking. We also propose to investigate visualization methods to help interpret results of our models so that we can better understand their biological meaning.Xinlian Liu
Hood College
Frederick, MD
Considerable evidence points to a role for membrane-associated production and propagation of oligomers in the progression of Alzheimer’s disease. An example for such lipid-catalyzed oligomers are the Large Fatty Acid-derived Aβ Oligomers (LFAOs) studied in the Lab of our collaborator Vijay Rangachari (University of Southern Missisippi). However, neither the structure of LFAOs nor their mechanism of propagation is known in detail. Deriving both, and modeling their dependence on sequence and interfacial environment, will help us to understand the mechanism by which amyloid strains become predominant in patient brains.Ulrich H.E. Hansmann
University of Oklahoma
Norman, OK
How did the Milky Way's disk system form? Today, we lack a deep understanding of the genesis and evolution of this important stellar structure. This project will explore how future astronomical surveys could yield deep insight in the origin of the Milky Way's disk system using spatial, chemical and dynamic data. The intern will analyze snapshots from new, state-of-the-art simulations of Milky-Way-like galaxies by generating mock data corresponding to next-generation astronomical surveys. Sarah Loebman
University of California, Davis
Davis, CA
Genetic algorithms are used to search for the global minimum of chemical structures of a given stoichiometry. The goal of this project is to deliberately create chemically intuitive starting populations in unexplored regions of the potential energy surface in order to broaden and target the scope of the search for the global minimum structure to efficiently use computational resources over the course of many runs. Michael Groves
California State University, Fullerton
Fullerton, CA
The undergraduate student intern will work with the mentor to learn how to optimize the computational fluid dynamics (CFD) code for the numerical simulations of compressible flow problems, identify performance bottlenecks using performance analysis tools and work on the development of parallelization strategies to use the high performance computing (HPC) resources efficiently.Tulin Kaman
University of Arkansas
Fayetteville, AR
The primary goal of this internship is to assist mathematics, computer science and physics faculty in molecular dynamics simulations, visualizations and analyses which track thermally-induced vacancy transitions. Long time-scale MD simulations test long-term defect dynamics in hexagonal and FCC solids with induced acoustic standing waves and Lennard-Jones or related interatomic potentials. The intern will adapt code developed by previous student researchers and faculty in this ongoing research. Testing will occur on a local Linux cluster before large-scale production runs on OSC's Oakley and NCSA's Blue Waters.Stephen Harnish
Bluffton University
Bluffton, OH
Climate change and increased demands for food and energy production place growing stresses on surface water resources. Predicting the impacts of these activities for water resources management requires sophisticated water quality models. The proposed internship will focus on development of a three dimensional water quality model that incorporates buoyant temperature effects from thermal pollution to assess the dynamics of fluid flow, heat transfer, and nutrients in surface water reservoirs.David Lampert
Oklahoma State University
Stillwater, OK

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