Seminars

William J. Layton, Department of Mathematics, University of Pittsburgh 5 ideas, good and bad, in computational fluid dynamics The goal of numerical analysis of the Navier-Stokes equations is to extend the accuracy, reliability and predictive ability of numerical simulations of fluid motion. This extension means improving the complexity (space, computational...

James Sethian; Department of Mathematics; University of California, Berkeley Advances in Advancing Interfaces: The Mathematics of Manufacturing of Industrial Foams, Fluidic Devices, and Automobile Painting How do inkjet printers work? What are the dynamics of a dripping faucet? How are foams mixed, bicycle helmets manufactured, and cars painted? Complex dynamics...

Aleksandar Donev, Professor of Mathematics, Courant Institute of Mathematical Sciences, New York University Numerical Methods for Inextensible Slender Fibers in Stokes Flow Every animal cell is filled with a cytoskeleton, a dynamic gel made of inextensible fibers, such as microtubules, actin fibers, and intermediate filaments, all suspended in a viscous...

Bernard Deconinck, Professor and Chair of Applied Mathematics, University of Washington Pole dynamics of solutions of integrable equations Kruskal (1974) suggested that the dynamics of solutions of the KdV equation could be understood by examining how their pole singularities (complex x, real t) interact. I will review a biased history...

Philippe Naveau, Laboratoire des Sciences du Climat et de l'Environnement, IPSL-CNRS, France Detecting changes in multivariate extremes from climatological time series Joint work with Sebastian Engelke (Geneva University) and Chen Zhou (Erasmus University Rotterdam) Many effects of climate change seem to be reflected not in the mean temperatures, precipitation or...

Julie K. Lundquist, Dept. of Atmospheric and Oceanic Sciences and Fellow, Renewable and Sustainable Energy Institute at University of Colorado, Boulder Turbulence to turbine wakes: challenges in the atmospheric science of wind energy (that could benefit from applied mathematicians) As the world moves away from fossil fuels and towards more...

Michael D. Schneider, Group Leader for Astronomy & Astrophysics Analytics, Physics Division, Lawrence Livermore National Laboratory Quantum Machine Learning using Gaussian Processes Quantum computers may be transformative for a variety of computational tasks. We are pursuing machine learning methods for near-term quantum devices that may show advantage over classical computers...

Béatrice M. Rivière, Noah Harding Chair and Professor of Computational and Applied Mathematics, Rice University Diffuse Interface Methods for Two-Phase Flows in Digital Rock Modeling multicomponent flows in porous media is important for many applications relevant to energy and environment. Advances in pore-scale imaging, increasing availability of computational resources, and...

Persi Diaconis, Mary V. Sunseri Professor of Statistics and Mathematics, Stanford University ADDING NUMBERS AND SHUFFLING CARDS When numbers are added in the usual way, 'carries' accrue along the way. It is natural to ask 'how do the carries go?' Is there a carry 'about half the time? If there...

Lou Pecora, Naval Research Laboratory Cluster Synchronization of Chaotic Systems in Complex Networks The concept of synchronized systems has been around for centuries with one of the earliest studies being on the synchronization of clocks by Christiaan Huygens in the mid 1700’s. By the mid 1900’s it was well-known how...