Brown Bag Seminar

<p><strong>Physics Informed Machine Learning of SPH: Machine Learning Lagrangian Turbulence</strong><br />
Michael Woodward, Program in Applied Mathematics, University of Arizona</p>

<p><strong><span>Lawrence Livermore National Laboratory Day</span></strong><br />
Ming Jiang, Jeffrey Hittinger and Andrew Gillette, Youngsoo Choi, Lawrence Livermore National Laboratory</p>

<p><strong><span>Lawrence Livermore National Laboratory Day</span></strong><br />
Ming Jiang, Jeffrey Hittinger and Andrew Gillette, Youngsoo Choi, Lawrence Livermore National Laboratory</p>

<p><strong>National Renewable Energy Laboratory Day</strong><br />
Andrey Bernstein, Clayton Barrows and Ryan King, National Renewable Energy Laboratory</p>

<p><strong><span>Mathematical Theory of Harmony and Dissonance</span></strong><br />
<span>Craig Thompson, Program in Applied Mathematics, University of Arizona</span></p>

<p><strong><span>LaSDI: A Data-Driven Approach to Reduced Order Models</span></strong><br />
<span>Bill Fries, Program in Applied Mathematics, University of Arizona</span></p>

<p><strong>How the Grad College Office of Fellowships Can Help You</strong><br />
Shelley Hawthorne-Smit, Graduate College, Office of Fellowships and&nbsp;Community Engagement, University of Arizona</p>

<p><strong>Organizational Meeting</strong><br />
Criston Hyett, and Brady Gales,&nbsp;Program in Applied Mathematics, University of Arizona</p>

<p><strong>Accelerating simulations in real-time with deep learning</strong><br />
Kevin Luna, Program in Applied Mathematics, University of Arizona</p>

<p><strong>Generalized Linear Spectral Bandits</strong><br />
Brady Gales, Program in Applied Mathematics, University of Arizona</p>