Group Meeting
Upcoming Events

Thursday, April 2, 202012:30PM, Warren Weaver Hall 1314
TBD
Scott Weady & Charles PuelzSynopsis:

Thursday, April 9, 202012:30PM, Warren Weaver Hall 1314
TBD
Tobias Grafke (Warwick University)Synopsis:

Thursday, April 16, 202012:30PM, Warren Weaver Hall 1314
TBD
Brennan Sprinkle, Aleks Donev, Charles PeskinSynopsis:

Thursday, April 23, 202012:30PM, Warren Weaver Hall 1314
TBD
Xuenan Li & TBDSynopsis:

Thursday, April 30, 202012:30PM, Warren Weaver Hall 1314
TBD
Anthony Trubiano & TBDSynopsis:

Thursday, May 7, 202012:30PM, Warren Weaver Hall 1314
TBD
Guanhua Sun & TBDSynopsis:
Past Events

Thursday, March 26, 202012:30PM, Warren Weaver Hall 1314
CANCELLED: Stokes flow in doublyperiodic geometries
Ondrej Maxian & Sachin NateshSynopsis:

Thursday, March 12, 202012:30PM, Warren Weaver Hall 1314
CANCELLED: An Introduction to the Mathematical Modeling of 2D Materials.
Mitch Luskin (University of Minnesota)Synopsis:
I will introduce the modeling of 2D materials starting with a description of the hexagonal structure of graphene. The BlochFourier transform will next be defined to compute the spectral decomposition of graphene’s electronic Hamiltonian and to compute its electronic density of states and linear response. The linear dispersion at Dirac points will be observed and a massless Dirac equation will be derived for the propagation of wave packets spectrally localized at the Dirac points.
Even more exciting and promising is the possibility of interleaving 2D layers to create heterostructures with any combination of desired electronic, optical, magnetic and thermal properties. I will introduce the challenge of modeling the incommensurate heterostructures that result from lattice mismatch and twist.

Thursday, March 5, 202012:30PM, Warren Weaver Hall 1314
The Entropic Uncertainty Principle and the Fast Fourier Transform
Charles PeskinSynopsis:
The entropic uncertainty principle for the discrete Fourier transform
states that for any nonzero u in C^n, H(u) + H(F_n(u)) >= log(n),
where H(u) is the entropy of the discrete probability distribution
P_j = u_j^2/u^2, and where F_n is the discrete Fourier transform
of order n. This is a special case of a known result [1], but the
proof of the general case requires functional analysis. Here, we give
an elementary proof of the special case (and moreover only for n
as a power of 2). The proof is based on the Fast Fourier Transform
algorithm.
Reference
[1] Dembo A, Cover TM, and Thomas JA 1991: Information Theoretic
Inequalities. IEEE Transactions on Information Theory
37(6):15011517, see Theorem 23 on page 1513. 
Thursday, February 27, 202012:30PM, Warren Weaver Hall 1314
"Datadriven optimization of an ocean turbulence model" & "Facing the multiscale problem in biomathematics with statistical physics and machine learning tools"
Justin Finkel & Rocio Vega MartinezSynopsis:

Thursday, February 20, 202012:30PM, Warren Weaver Hall 1314
Estimation of extreme tsunami waves using large deviation theory
Shanyin Tong, partner Chris MilesSynopsis:

Thursday, February 13, 202012:30PM, Warren Weaver Hall 1314
How to give a killer talk (a discussion)
EveryoneSynopsis:

Thursday, February 6, 202012:30PM, Location TBA
Monte Carlo festival
Tristan Goodwill, Miranda HolmesCerfon, Michael Lindsey, Robert WebberSynopsis:
A collection of 10minute talks, each one presenting a Monte Carlo algorithm that was a game changer for a previously intractable sampling problem.

Thursday, January 30, 202012:30PM, Location TBA
Planning meeting  everyone welcome!
Synopsis: