Optical MNIST dataset
21 Apr 2022 | | Contributor(s):: Hanyu Zheng
Rapid advances in deep learning have led to paradigm shifts in a number of fields, from medical image analysis to autonomous systems. These advances, however, have resulted in digital neural networks with large computational requirements, resulting in high energy consumption and limitations in...
Wending Mai received the B.S. degree in electronic information science and technology, M.S. degree in radio physics, and Ph.D. degree in electromagnetic and microwave technology from the University...
Muhammad Qasim Mehmood
Advancing Photonic Device Design and Quantum Measurements with Machine Learning
18 Dec 2020 | | Contributor(s):: Alexandra Boltasseva
In this talk, photonic design approaches and emerging material platforms will be discussed showcasting machine-learning-assisted topology optimization for thermophotovoltaic metasurface designs and machine-learning-enabled quantum optical measurements.
NCN Nanophotonics and Metamaterials
NCN-SLC holds an NCN Student Research Symposium (NSRS) in Spring/ Summer each year. The purpose is to bring together students from the various research groups working on nanoscience and...
Metaphotonics and Metasurfaces Governed by Mie Resonances
14 Jul 2020 | | Contributor(s):: Yuri Kivshar
This talk will highlight some recent advances in all-dielectric Mie-resonant metaphotonics including active and nonlinear nanophotonics as well as the recently emerged fields of topological photonics.
Yuri Kivshar received PhD in 1984 in Kharkov (Ukraine). From 1988 to 1993 he visited and worked at several research centers in the USA and Europe, and in 1993 he moved to Australia where he...
Optical Hyperspace: Light in Hyperbolic Materials
14 Jan 2020 | | Contributor(s):: Evgenii Narimanov
Hyperbolic metamaterias are strongly anisotropic composite media that behave as either metals or dielectrics in different directions. They can be fabricated n many different ways, such as metallic layers that are separated from each other by thin dielectric spacers, or using arrays of parallel...
Omer Yesilyurt received his B.S. degree in Electronics engineering from Istanbul Technical University, Turkey, in 2016. He obtained his MsC degree in Electrical Engineering from Middle East...
How Plasmonic Materials Make Light Work at Nanoscale
16 Aug 2019 | | Contributor(s):: Alexandra Boltasseva
Aug 12 2019
ICANM2019:7th International Conference & Exhibition on Advanced & Nano Materials
The 7th International Conference & Exhibition on Advanced & Nano Materials (ICANM2019) will take place from August 12 to 14 in Montreal, Canada. This conference offers the unique...
Can Plasmonics Help Outpace Quantum Decoherence?
07 Jun 2019 | | Contributor(s):: Vladimir M. Shalaev
We discuss an unorthodox way to overcome quantum decoherence by using plasmonics that can speed up quantum processes to the extent that they outpace and thus become immune to decoherence.
CELL-MET Thrust Area 2 - Nanomechanics: Cell-Integrated Surface Plasmon Resonance
08 Feb 2019 | | Contributor(s):: Maedeh Mozneb, CELL-MET ERC
In this presentation, FIU graduate student Maedeh Mozneb explains her work on Nanomechanics in Chen-Zhong Li’s lab.
Author of "Graphene: The Superstrong, Superthin, and Superversatile Material that will Revolutionize the World."
I'm a Final Year UG student pursuing B.Tech in Mechanical Engineering. I wish to pursue MS in Material Science and Engineering and further develop better materials for wide array of products...