Fall 2021 Schedule

9/1:
(Host:Jon)
Thomas Hou, Caltech
Potential singularity of 3D incompressible Euler equations and the nearly singular behavior of 3D Navier-Stokes equations
9/8:
(Host:Sunny)
Jeffrey Kuan, UC Berkeley
A stochastic fluid-structure interaction problem describing Stokes flow interacting with a membrane
9/15:
(Host:Sunny)
Natalia Komarova, UC Irvine
Mathematical methods in cancer dynamics
9/22:
(Host:Lin)
Michael Lindsey, Courant Institute
Embedding approaches for classical and quantum statistical mechanics
9/29:
(Host:Lin)
Simon Becker, University of Cambridge
Mathematical properties of twisted bilayer graphene
10/6:
(Host:Lin)
Di Fang, UC Berkeley
Time-dependent unbounded Hamiltonian simulation with vector norm scaling
10/13:
(Host:Sunny)
Franziska Weber, Carnegie Mellon University
A Convergent Numerical Method for a Model of Liquid Crystal Director Coupled to An Electric Field
10/20:
(Host:Lin)
Emanuel Gull, University of Michigan
Nevanlinna Analytical Continuation
10/27:
Note the special time 11AM-12PM.
(Host:Lin)
Song Mei, UC Berkeley
The efficiency of kernel methods on structured datasets
11/3:
(Host:Lin)
Yu Tong, UC Berkeley
Quantum eigenstate filtering and its applications
11/10:
(Host:Lin)
Jason Kaye, Flatiron Institute
Efficient numerical algorithms for simulating quantum dynamics
11/17:No seminar.
11/24:No seminar. Thanksgiving.
12/1:
(Host:Lin)
Aditi Krishnapriyan, Lawrence Berkeley National Lab
Integrating machine learning with physics-based spatial and temporal modeling