Variational Methods in Image Processing and Advanced Materials Analysis - Kirk Lecture
Offered By: Isaac Newton Institute for Mathematical Sciences via YouTube
Course Description
Overview
Explore variational methods in image processing and advanced materials analysis in this Kirk Lecture by Prof. Irene Fonseca from Carnegie Mellon University. Delve into density measure models for image denoising and their applications in regularization techniques. Examine the formation and assembly patterns of semiconductor nanocrystals (quantum dots) and their significance in nanotechnology. Investigate how quantum dot size and shape influence optoelectronic properties and everyday applications. Learn about materials defects, their impact on rigidity and conductivity, and the evolution of quantum dot shapes. Discover insights into dislocation nucleation and motion in novel advanced materials.
Syllabus
Date: 10 May 2019 - 16:00 to
Taught by
Isaac Newton Institute for Mathematical Sciences
Related Courses
Vibrations Of StructuresIndian Institute of Technology, Kharagpur via Swayam Finite Element Method: Variational Methods to Computer Programming
Indian Institute of Technology Guwahati via Swayam Approximation Methods
University of Colorado Boulder via Coursera Elastic Stability of Structures
Indian Institute of Technology, Kharagpur via Swayam Set Distribution Networks - A Generative Model for Sets of Images
Yannic Kilcher via YouTube