*********************************
There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
*********************************
Title: Machine Learning Approaches for Knowledge Discovery in Nanophotonic Structures
Committee:
Dr. Adibi, Advisor
Dr. Klein, Chair
Dr. Zhou
Abstract: The objective of this research proposal is to utilize machine learning approaches for efficient inverse design and knowledge discovery in nanophotonics. The aim is to develop methods that enable finding the physics behind the input-output relation, the role and importance of the input parameters, and the input-output relation complexity of different classes of nanophotonic structures.
