Spring 2018 Schedule

January 17th:Yantao Wu, Princeton University
A variational functional in simulations of statistical mechanics
January 24th, Evans 736:
Note the special location
Jay Gopalakrishnan, Portland State University
Using spacetime tents to solve hyperbolic systems
January 26th, Evans 748:
Note special date and location
Andrew Bernoff, Harvey Mudd College
Energy driven pattern formation in thin fluid layers: The good, the bad and the beautiful
January 31st:Will Pazner, Brown University and UC Berkeley
Efficient solvers and preconditioners for the implicit time integration of discontinuous Galerkin methods
February 7th:Robert Falgout, Lawrence Livermore National Laboratory
Multigrid solvers in space and time for highly concurrent architectures
February 14th:No seminar
February 21st:Bao Wang, University of California, Los Angeles
Deep learning with data dependent implicit activation and graph stacked recurrent neural network for spatial-temporal data analysis
February 28th:Karel Matous, University of Notre Dame
Integrated computational materials engineering
March 7th:Paul Cazeaux, University of Kansas
Modeling electronic transport properties in incommensurate 2D multilayer materials.
March 14th:Mitchell Luskin, University of Minnesota
Modeling and simulation of plasmons in 2D materials
March 21st:Raunak Borker, Stanford University
A higher-accuracy discontinuous Galerkin method for variable-coefficient advection-diffusion problems
March 28th:Spring break
April 4th:Dallas Trinkle, University Of Illinois at Urbana-Champaign
Lattice Green function calculations in the presence of a dislocation
April 11th:Wei Cai, Stanford University
Mesoscale Networks: from Microstructure Evolution to Material Properties
April 18th:Saad Qadeer, University of California, Berkeley
Simulating nonlinear Faraday waves on a cylinder
April 25th:Zhengyu Huang, Stanford University
High-order, linearly stable, partitioned solvers for general multiphysics problems based on implicit-explicit Runge-Kutta schemes
April 30th, 3PM-4PM, Evans 939:
Note special date, time, location
Drew Kouri, Sandia National Laboratories
Smoothing techniques for risk-averse PDE-constrained optimization