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physics.optics2023
Transparent conductive oxides and low loss nitride-rich silicon waveguides as building blocks for neuromorphic photonics
Jacek Gosciniak, Jacob B. Khurgin
Fully CMOS-compatible photonic memory holding devices hold a potential in a development of ultrafast artificial neural networks. Leveraging the benefits of photonics such as high-b…
physics.optics2023★ 1 cited
Transparent conductive oxides as a material platform for photonic neural networks
Jacek Gosciniak, Jacob B. Khurgin
Photonics integrated circuits have a huge potential to serve as a framework for a new class of information processing machines and can enable ultrafast artificial neural networks.…
cond-mat.mes-hall2023★ 9 cited
Hot-electron dynamics in plasmonic nanostructures
Jacob Khurgin, Anton Yu. Bykov, Anatoly V. Zayats
The coherent oscillations of mobile charge carriers near the surface of good conductors-surface plasmons-are been exploited in many applications in information technologies, clean…