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DTSTART;TZID=America/Halifax:20230113T160000
DTEND;TZID=America/Halifax:20230113T170000
DTSTAMP:20230110T200300Z
CREATED:20200904T115630Z
LAST-MODIFIED:20230110T200300Z
UID:6991-1673625600-1673629200@aarms.math.ca
SUMMARY:Dalhousie-AARMS AAMP Seminar: Andrea Bertozzi (UCLA)
DESCRIPTION:Title:  Energy Minimizing Surface Tension Configurations for Microparticles\nAbstract: An important area of microfluidics is the creation and manipulation of small droplets. This is commonly done using microchannels or electrowetting. Recently a new method is proposed to create templated droplets using amphiphilic microparticles. These particles are observed to hold nearly equal volumes of aqueous liquid when dispersed in an oil–water mixture. However a theory for this behavior is lacking. In this paper\, we present a mathematical model based on minimizing the surface tension energy of a system of particles. By analyzing this model\, we demonstrate that certain key properties of the particle guarantee the formation of small droplets within a volume range unique to the particle. We also look at statistical dynamics of pairwise exchange of fluids between particles for which the system can reach equilibrium.  We show examples of how such particles are useful for applications such asbiological assays and measurement of chemical secretions from single cells.\n\nThe Dalhousie-AARMS Analysis-Applied Math-Physics Seminar takes place on Fridays from 4 – 5 pm Atlantic Time over Zoom and in Chase 227.  If you would like to attend\, please email the organizers for connection details.
URL:https://aarms.math.ca/event/dalhousie-aarms-aamp-seminar-steven-lester-kings-college-london-2-2-3-2-2-2-4-2-2-2-2/
LOCATION:Dalhousie University\, Halifax\, Nova Scotia\, Canada
CATEGORIES:AAMP Seminar
ORGANIZER;CN="Suresh Eswarathasan":MAILTO:sr766936@dal.ca
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DTSTART;TZID=America/Halifax:20230120T160000
DTEND;TZID=America/Halifax:20230120T170000
DTSTAMP:20230110T172249Z
CREATED:20200904T115630Z
LAST-MODIFIED:20230110T172249Z
UID:6994-1674230400-1674234000@aarms.math.ca
SUMMARY:Dalhousie-AARMS AAMP Seminar: Chamsol Park (Johns Hopkins University)
DESCRIPTION:Title: Eigenfunction restriction estimates on curves with nonvanishing geodesic curvatures\n\nAbstract: Studying eigenfunctions of the Laplace-Beltrami operator on compact Riemannian manifolds (without boundary) is one of the interesting topics in Harmonic Analysis. One way to study them is to consider the L^p estimates of the eigenfunctions restricted to submanifolds. In this talk\, we briefly summarize previous results and would like to talk about the logarithmic improved analogue for the restriction to curves with nonvanishing geodesic curvatures\, in the presence of nonpositive sectional curvatures in the manifolds. If time permits\, we will discuss some applications and open problems for the Schrodinger counterparts.\n\n\nThe Dalhousie-AARMS Analysis-Applied Math-Physics Seminar takes place on Fridays from 4 – 5 pm Atlantic Time over Zoom and in Chase 227.  If you would like to attend\, please email the organizers for connection details.
URL:https://aarms.math.ca/event/dalhousie-aarms-aamp-seminar-steven-lester-kings-college-london-2-2-3-2-2-2-4-2-2-2-2-2/
LOCATION:Dalhousie University\, Halifax\, Nova Scotia\, Canada
CATEGORIES:AAMP Seminar
ORGANIZER;CN="Suresh Eswarathasan":MAILTO:sr766936@dal.ca
END:VEVENT
BEGIN:VEVENT
DTSTART;TZID=America/Halifax:20230127T160000
DTEND;TZID=America/Halifax:20230127T170000
DTSTAMP:20230110T173057Z
CREATED:20200904T115630Z
LAST-MODIFIED:20230110T173057Z
UID:7006-1674835200-1674838800@aarms.math.ca
SUMMARY:Dalhousie-AARMS AAMP Seminar: Alex Barnett (Flatiron Institute\, NYC)
DESCRIPTION:Title: Equispaced Fourier representations for efficient Gaussian process regression from a billion data pointsAbstract: Gaussian process regression is widely used in geostatistics\, time-series analysis\, and machine learning. It infers an unknown continuous function in a principled fashion from noisy measurements at $N$ scattered data points.  The prior on the function is Gaussian\, with covariance given by some user-chosen translationally invariantkernel.  Yet $N$ has been limited to about $10^6$\, even with modern low-rank methods.  Focusing on low spatial dimension (1–3)\, we present a GP regression method using kernel approximation by an equispaced quadrature grid in the Fourier domain.  This enables the iterative solution of a smaller Toeplitz linear system\, exploiting both the FFT and the nonuniform FFT to give ${\mathcal O}(N)$ cost. The result is often one to two orders of magnitude faster than state of the art methods\, and enables cheap massive-scale regressions. For example\, for a 2D Mat\’ern-3/2 kernel and $N = 10^9$ points\, the posterior mean function is found to 3-digit accuracy in two minutes on a desktop.Joint work with Philip Greengard (Columbia) and Manas Rachh (Flatiron Institute)\nThe Dalhousie-AARMS Analysis-Applied Math-Physics Seminar takes place on Fridays from 4 – 5 pm Atlantic Time over either Zoom and/or in Chase 227 depending on the speaker.  If you would like to attend\, please email the organizers for connection details.
URL:https://aarms.math.ca/event/dalhousie-aarms-aamp-seminar-steven-lester-kings-college-london-2-2-3-2-2-2-4-2-2-2-2-2-2-2-2-2/
LOCATION:Dalhousie University\, Halifax\, Nova Scotia\, Canada
CATEGORIES:AAMP Seminar
ORGANIZER;CN="Suresh Eswarathasan":MAILTO:sr766936@dal.ca
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