Open AccessElectronically Reconfigurable Photonic Switches Incorporating Plasmonic Structures and Phase Change Materials (Adv. Sci. 20/2022)
Author(s) -
Farmakidis Nikolaos,
Youngblood Nathan,
Lee June Sang,
Feldmann Johannes,
Lodi Alessandro,
Li Xuan,
Aggarwal Samarth,
Zhou Wen,
Bogani Lapo,
Pernice Wolfram HP,
Wright C David,
Bhaskaran Harish
Publication year - 2022
Publication title -
advanced science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 5.388
H-Index - 100
ISSN - 2198-3844
DOI - 10.1002/advs.202270122
Subject(s) - plasmon , phase change memory , photonics , materials science , optoelectronics , electronics , nanotechnology , 3d optical data storage , nanoscopic scale , computation , computer science , electrical engineering , engineering , layer (electronics) , algorithm
Integrated Opto‐Electronics In‐memory computing mimics biological neurons by collocating the memory and processing unit. In article number 2200383, Harish Bhaskaran and co‐workers engineer a path to perform data‐storage and computations by electronically modulating the intensity of light. By defining plasmonic structures to confine optical power to a nanoscale volume and by employing active phase‐change materials, the authors demonstrate ultra‐low energy, non‐volatile switching with electrical and optical readout.