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All-optical photonics neural networks

Lead Research Organisation: UNIVERSITY COLLEGE LONDON
Department Name: Electronic and Electrical Engineering

Abstract

Integrated photonics is a technology used in many fields, including communications, sensing and ranging. This research investigates novel CMOS compatible photonic architectures, monolithically or hybrid integrated with non-linear material to implement all-optical neural networks. Design and simulation of integrated photonics components will be carried out using simulation tools such as Finite-difference time-domain (FDTD) and finite element method (FEM). The fabrication of the CMOS compatible photonics chip has been and will be carried out in UK foundries, while the back end of the line integration of other materials will be done in-house. The characterisation will include transmission measurement of the devices. Results from the design and measurement will be used to improve and enrich the integrated photonics components and subsystems portfolio, which will be used by companies and industry via in-house fabrication or via publicly available foundry services.

People

ORCID iD

David Gerard (Student)

Publications

10 25 50

Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/S022139/1 30/09/2019 30/03/2028
2868430 Studentship EP/S022139/1 30/09/2023 29/09/2027 David Gerard