AI applications of neuromorphic memristors

Lead Research Organisation: University College London
Department Name: Electronic and Electrical Engineering

Abstract

The project will study the electrical and optical response of silicon oxide memristors through a programme of experimental characterisation and modelling. The project will seek to address the question of how these properties can best be controlled (through a combination of device design and control of programming parameters) to optimise their use in neuromorphic artificial intelligence systems. The project will combine device fabrication in the LCN cleanrooms with electrical and optical characterisation using the facilities of the EEE nanotechnology laboratory, and will further develop some of the neuromorphic circuit and systems models already in use by the research group.

Publications

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Studentship Projects

Project Reference Relationship Related To Start End Student Name
EP/R513143/1 01/10/2018 30/09/2023
2576207 Studentship EP/R513143/1 27/09/2021 25/09/2025 Viet Vu
EP/T517793/1 01/10/2020 30/09/2025
2576207 Studentship EP/T517793/1 27/09/2021 25/09/2025 Viet Vu