Skip to main content
Loading Events

Past Events › Applied Mathematics Colloquium

Events Search and Views Navigation

Event Views Navigation

October 2020

Applied Mathematics Colloquium – Jennifer Crodelle, Middlebury College

October 30, 2020 @ 4:00 pm - 5:00 pm

Title: A simple mathematical model of synapse formation in the developing visual cortex of mice Abstract: The mammalian primary visual cortex (V1) contains neurons that respond preferentially to oriented visual stimuli (e.g., horizontal bars). In the mouse, these orientation-preferring neurons are scattered throughout V1 in what’s called a “salt and pepper” orientation-preference (OP) map. Despite the seemingly random distribution of OPs in the visual cortex of mice, it has been shown that cells sharing orientation preference are preferentially connected via…

Find out more »

November 2020

Applied Mathematics Colloquium – Silke Henkes, School of Mathematics, University of Bristol

November 6, 2020 @ 9:15 am - 10:30 am

Date: Friday, November 6th, 2020 Time: 9:15 am Title and abstract: Rigidity percolation and frictional jamming In jamming of frictional granular particles, rigidity emerges over a range of mean contact numbers and densities, unlike in frictionless jamming where Maxwell constraint counting determines the isostatic point. I will introduce the (3,3) frictional pebble game and frictional rigidity percolation for frictional jamming. For simulated and experimental packings, we find a second-order rigidity transition where rigid and floppy regions coexist. The experimental location…

Find out more »

March 2021

Hongkai Zhao, Duke University – Applied Mathematics Seminar

March 5, 2021 @ 4:00 pm - 5:00 pm

Hongkai Zhao, Duke University Title: Model Complexity And Its Implications To Forward and Inverse Problems Abstract: In this talk I will present different ways to study model complexity for partial dierential equation (PDE) based forward and inverse problems. We show how this understanding can help to develop fast algorithms, explore underlying low dimensional structures, and analyze (in)stability of the underlying problem.

Find out more »

Dr. Bernat Font Garcia – Applied Mathematics Colloquium

March 26, 2021 @ 4:00 pm - 5:00 pm

Speaker: Dr. Bernat Font Garcia Position: Postdoctoral researcher at the Barcelona Supercomputing Center (BSC-CNS), formerly at University of Southampton (UK) Title: A ML model to simulate 3D turbulence in a 2D system applied to long cylindrical structures Abstract: Turbulence is a non-linear phenomenon in fluids involving a wide range of complex temporal and spatial structures. This often makes the resolution requirements of numerical simulations very high, yielding costly and time-consuming computations. Turbulence models are used to skip resolving a certain…

Find out more »

April 2021

Pablo Seleson – Applied Mathematics Seminar

April 16, 2021 @ 4:00 pm - 5:00 pm

Pablo Seleson, Computational and Applied Mathematics Group at Oak Ridge National Laboratory (ORNL) Title: Peridynamics: A Framework for Fracture, Multiscale, and Complex Materials Modeling Abstract: Fracture prediction as well as computational modeling of mutiscale and other complex materials behavior are ongoing challenges in materials science and computational science and engineering. Peridynamics offers a new framework to overcome these challenges through governing equations that naturally represent material discontinuities, introduce length scales, and allow for general constitutive relations. Peridynamics is a nonlocal…

Find out more »

Ron DeVore – Joint Mathematics and Applied Mathematics Colloquium

April 22, 2021 @ 4:00 pm - 5:00 pm

Speaker: Ron DeVore Date: Thursday, April 22, Joint Mathematics and Applied Mathematics Colloquium Title: Deep Learning and Neural Networks Abstract:  Deep Learning has achieved much publicized empirical success.  But there remains no rigorous proof that DL works, when it works, why it works.  This talk will give the mathematical view of deep learning and try to understand this gap between theory and practice.

Find out more »

Nick Moore, US Naval Academy – Applied Mathematics Seminar

April 30, 2021 @ 4:00 pm - 5:00 pm

Nick Moore, US Naval Academy Title: Anomalous waves induced by abrupt depth change: laboratory experiments and KdV statistical mechanics Abstract: I will discuss both laboratory experiments and a newly developed theory to describe randomized surface waves propagating over variable bathymetry. The experiments show that an abrupt depth change can qualitatively alter wave statistics, transforming an initially Gaussian wave field into a highly skewed one. In our experiments, the probability of a rogue wave can increase by a factor of 50…

Find out more »

November 2021

Greg Forest, UNC-Chapel Hill – Joint Mathematics-Applied Mathematics Colloquium

November 11, 2021 @ 4:00 pm - 5:00 pm

UNC Mathematics-Applied Mathematics Joint Colloquium Speaker: Greg Forest, UNC Chapel Hill Time: 4pm Mode: In-person - Phillips Hall 332 tea-time in Phillips Hall 330 at 3:30 pm Title: Modeling insights into SARS-CoV-2 respiratory tract infections Abstract: I and many collaborators, postdocs, and students from many disciplines have explored lung mechanics and disease pathology for over 2 decades in a pan-university effort called the UNC Virtual Lung Project. In the last decade with the Sam Lai lab we have explored how…

Find out more »

March 2022

Adam Palmer, Computational Medicine Program, UNC Chapel Hill – Applied Mathematics Colloquium

March 23 @ 4:00 pm - 5:00 pm

Mode: In-person Title: TBA Abstract: TBA  

Find out more »

April 2022

Semyon Tsynkov, NC State University – Applied Mathematics Colloquium

April 27 @ 4:00 pm - 5:00 pm

Mode: In-person Title: Imaging with synthetic aperture radar (SAR) Abstract: Synthetic aperture radars (SAR) use microwaves to obtain images of the Earth's surface from airplanes or satellites. SAR images can be taken during nighttime and prove insensitive to the clouds or dust in the atmosphere. Therefore, SAR complements the aerial or spaceborne photography, even though there are fundamental differences between the two technologies. For example, photographs register the intensity of light reflected off the imaged scene, whereas SAR relies on…

Find out more »
+ Export Events