Feb 05 Colloquium 2 p.m., Feb. 5, 2021 <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>
Apr 16 Colloquium 2 p.m., April 16, 2021 <p><strong>Plasma Instabilities in the Young Solar Wind: Thermodynamics far from Equilibrium </strong> <br /> Kristopher Klein, Lunar and Planetary Laboratory, Department of Planetary Sciences, University of Arizona</p>
Mar 19 Colloquium 2 p.m., March 19, 2021 <p><strong>Likelihood ratio methods for sensitivity analysis and linear response estimation of non-equilibrium stationary states</strong><br /> Petr Plechac, Dept. of Mathematical Sciences, University of Delaware,</p>
Jan 28 Modeling, Computation, Nonlinerarity, Randomness and Waves Seminar 12:30 p.m., Jan. 28, 2021 <p><strong>Brownian Dynamics Simulations for Flexible Fibers</strong><br /> Brennan Sprinkle, Department of Mathematics, NYU</p>
Mar 12 Colloquium 2 p.m., March 12, 2021 <p><strong>Combining network analysis and persistent homology for classifying behavior of time series</strong><br /> Elizabeth Munch, Dept. of Computational Mathematics, Science, and Engineering, Dept. of Mathematics, Michigan State University</p>
Mar 05 Colloquium 2 p.m., March 5, 2021 <p><strong>Porous muscles: Variational methods for active porous media</strong><br /> Vakhtang Putkaradze, PhD, Vice President, Transformation, Science & Technology ATCO | SpaceLab</p>
Feb 12 Colloquium 2 p.m., Feb. 12, 2021 <p><strong>Kinetic models of particle systems</strong><br /> Cory D. Hauck, Computer Science and Mathematics Division, Oak Ridge National Laboratory, and Department of Mathematics (Joint Faculty), University of Tennessee</p> <p> </p>
Oct 30 Colloquium 2 p.m., Oct. 30, 2020 <p><strong>Multidisciplinary Research in the Center for Applied Scientific Computing</strong><br /> Ming Jiang, Academic Engagement Program Lead, Lawrence Livermore National Laboratory</p>
Nov 06 Colloquium 2 p.m., Nov. 6, 2020 <p><strong>From PINNs to DeepOnets: Approximating functions, functionals, and operators using deep neural networks</strong><br /> George Karniadakis, Division of Applied Mathematics, Brown University</p>
Oct 02 Student Brown Bag Seminar 1 p.m., Oct. 2, 2020 <p><strong>Classification of round lesions in dual-energy FFDM using a convolutional neural network. Simulation study</strong><br /> Brian Toner, Program in Applied Mathematics, University of Arizona</p>
