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Graduate Seminar Series - Daniel Guildenbecher and Nathan Miller


Aerosciences Department Sandia National Laboratories, Albuquerque, New Mexicos

Title: Experimental diagnostics and simulations for hypersonic aero-optics at Sandia National Laboratories


Sandia National Laboratories in Albuquerque, New Mexico is the Nation's preeminent engineering laboratory for national security missions. This talk will outline research and development in experimental diagnostics and high-performance computing with emphasis on high-Mach aerodynamics. In partnership with NMSU, Sandia researchers are combining advanced laser diagnostics and modeling to provide unprecedented insight into the propagation of light in highly turbulent flows where freestream velocities are up to 14 times the speed of sound.


Daniel R. Guildenbecher is a Principal Member of the Technical Staff at Sandia National Laboratories where he has been since 2011. He obtained his PhD in Mechanical Engineering from Purdue University in 2009, was a visiting faculty member at Universität Karlsruhe from 2009-2010, and a visiting faculty member at Purdue University from 2010-2011. Daniel's research develops optical and laser diagnostics. Recent applications include hypersonics, energetics, fragmentation, liquid sprays, solid propellant combustion, and other multi-phase flows of interest to the National Security mission of Sandia National Laboratories. Daniel is an author on over thirty journal articles and ninety conference proceedings.

Nathan Miller is a Senior R&D Aeronautical Engineer in the Aerosciences Department at Sandia National Laboratories in Albuquerque, New Mexico.  He attended the University of Utah in Salt Lake City where he received his Bachelor's, Master's, and Ph.D. in Mechanical Engineering.  Nathan's graduate research focused primarily on turbulence in atmospheric boundary layers and in complex canopies.  Nathan then spent two years as a Postdoctoral Appointee at Sandia National Laboratories, working on the advancement of turbulence modeling via modern data-science and machine learning technologies.  As a Senior R&D Engineer, he now works on a range of projects in model development, data science, and turbulence simulation for aerodynamics, aerothermodynamics, compressible-flow, and flight dynamics problems spanning the Mach number range from subsonic to hypersonic.  He has experience in both field and wind-tunnel experimentation at a variety of scales, as well as experience with Computational Fluid Dynamics at all fidelities up to Direct Numerical Simulation.

Day: February 25th, 2022
Time: 3:00 - 4:00 PM
Location: In-person JH 109