MICDE Seminar: Udo von Toussaint, PD, Group Leader at the Max-Planck-Institute for Plasmaphysics in Garching, Divison Numerical Methods for Plasmaphysics
Zoom Event MI, United StatesA BAYESIAN APPROACH TO ARTIFICIAL NEURAL NETWORKS
10 events found.
Events
MICDE Seminar Series
Events
AIM/MICDE Seminar: Daniel Lecoanet, Postdoctoral Fellow, Princeton Center for Theoretical Science, Astrophysical Sciences, Princeton University
Zoom Event MI, United StatesPROBING THE CORES OF MASSIVE STARS THROUGH THEIR SURFACE
MICDE / SPH: Laura Matrajt, Staff Scientist, Vaccine and Infectious Disease Division, Fred Hutch
Zoom Event MI, United StatesOPTIMIZING COVID-19 VACCINE ALLOCATION
MICDE / AIM: Youngsoo Choi, Research Scientist, Center for Applied Scientific Computing, Lawrence Livermore National Laboratory
Zoom Event MI, United StatesPHYSICS-CONSTRAINED DATA-DRIVEN METHODS FOR ACCURATELY ACCELERATING SIMULATIONS
MICDE Seminar: Sarah Hormozi, Associate Professor, Cornell University
Zoom Event MI, United StatesSLURRIES OF COMPLEX FLUIDS
James Stokes, Research Fellow, Flatiron Institute
B844 East Hall 530 Church St, Ann Arbor, MI, United StatesGeometry and numerics of variational quantum algorithms and classical counterparts
MICDE / AIM Seminar: Blaise Bourdin, PhD, Professor of Mathematics & Statistics, McMaster University
Zoom EventVariational and phase-field models of brittle fracture: Past successes and current issues.
MICDE Seminar: Marta D`Elia, Principal Member of the Technical Staff, Sandia National Laboratories
Zoom Event MI, United StatesDATA-DRIVEN LEARNING OF NONLOCAL MODELS: BRIDGING SCALES WITH NONLOCALITY
MICDE / MIDAS Seminar: Yun S. Song, PhD, Professor of Computer Science and Statistics, University of California, Berkeley
West Hall 340Professor Yun S. Song is working in mathematical and computational biology.
Featured
MICDE/AIM Seminar: Miguel Moyers-González, Associate Professor of Mathematics and Statistics, University of Canterbury
Your DesktopInferring physical properties and topographical features from free surface flow data