Applied Math Colloquium

<p><strong>Output-Weighted Active Sampling for Bayesian Uncertainty Quantification and Prediction of Rare Events</strong><br />
Themistoklis Sapsis, Department of Mechanical Engineering, MIT</p>

<p><strong>Physics Guided Deep Learning for Spatiotemporal Dynamics</strong><br />
Rose Yu, Department of Computer Science and Engineering, UC San Diego</p>

<p><strong>Physical Discovery by Machine Learning: from Symmetries and Chemical Reactions to Generative and Causal Models</strong><br />
Sergei Kalinin, Oak Ridge National Laboratory, Corporate Fellow, Group Leader for Data Nano Analytics Group (DNA), The Center for Nanophase Materials Sciences</p>

<p><strong>Plasma Instabilities in the Young Solar Wind: Thermodynamics far from Equilibrium&nbsp;</strong>&nbsp;&nbsp;&nbsp;&nbsp;<br />
Kristopher Klein, Lunar and Planetary Laboratory, Department of Planetary Sciences, University of Arizona</p>

<p><strong>Likelihood ratio methods for sensitivity analysis and linear response estimation&nbsp;of non-equilibrium stationary states</strong><br />
Petr Plechac, Dept. of Mathematical Sciences, University of Delaware,</p>

<p><strong>Brownian Dynamics Simulations for Flexible Fibers</strong><br />
Brennan Sprinkle, Department of Mathematics, NYU</p>

<p><strong>Combining network analysis and persistent homology for classifying behavior of time series</strong><br />
Elizabeth Munch,&nbsp;Dept.&nbsp;of Computational Mathematics, Science, and Engineering, Dept. of Mathematics, Michigan State University</p>

<p><strong>Porous muscles: Variational methods for active porous media</strong><br />
Vakhtang Putkaradze, PhD,&nbsp;Vice President, Transformation, Science &amp; Technology ATCO | SpaceLab</p>

<p><strong>Kinetic models of particle systems</strong><br />
Cory D. Hauck, Computer Science and Mathematics Division,&nbsp;Oak Ridge National Laboratory, and Department of Mathematics (Joint Faculty),&nbsp;University of Tennessee</p>

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<p><strong>Multidisciplinary Research in the Center for Applied Scientific Computing</strong><br />
Ming Jiang, Academic Engagement Program Lead, Lawrence Livermore National Laboratory</p>