skip to content
 

Kirk Distinguished Visiting Fellow Lecture: Variational Methods in Image Processing and in the Mathematical Analysis of Novel Advanced Materials

Presented by: 
Irene Fonseca Carnegie Mellon University
Date: 
Friday 10th May 2019 - 16:00 to 17:00
Venue: 
INI Seminar Room 1
Abstract: 

 

In this talk we will use variational models involving density measures of different dimensionality to study training/learning schemes for a novel class of image-processing operators that provides a unified approach to the standard regularizers and PDE-based approaches to image denoising.
To illustrate the relevance of similar bulk-surface energy models in the study of novel materials, we will analyze the onset of man-made nanocrystals of semiconducting materials (quantum dots). Their formation and assembly patterns play a central role in nanotechnology, and in particular in the optoelectronic properties of semiconductors. Changing the dots' size and shape gives rise to many applications that permeate our daily lives. As the creation of quantum dots evolves with time, materials defects appear and these may strongly influence material properties, including rigidity and conductivity. The regularity and evolution of the quantum dots shapes, and the nucleation and motion of dislocations will be addressed.



 

 

The video for this talk should appear here if JavaScript is enabled.
If it doesn't, something may have gone wrong with our embedded player.
We'll get it fixed as soon as possible.
Presentation Material: 
University of Cambridge Research Councils UK
    Clay Mathematics Institute London Mathematical Society NM Rothschild and Sons