Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications

The combination of phase-change materials and integrated photonics has led to the development of new forms of all-optical devices, including photonic memories, arithmetic and logic processors, and synaptic and neuronal mimics. Such devices can be readily fabricated into photonic integrated circuits,...

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Main Authors: Santiago G.-C. Carrillo, Emanuele Gemo, Xuan Li, Nathan Youngblood, Andrew Katumba, Peter Bienstman, Wolfram Pernice, Harish Bhaskaran, C. David Wright
Format: Article
Language:English
Published: AIP Publishing LLC 2019-09-01
Series:APL Materials
Online Access:http://dx.doi.org/10.1063/1.5111840
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spelling doaj-5bdc8b296e3d45d49a625fc3d36472a52020-11-25T02:34:31ZengAIP Publishing LLCAPL Materials2166-532X2019-09-0179091113091113-710.1063/1.5111840017909APMBehavioral modeling of integrated phase-change photonic devices for neuromorphic computing applicationsSantiago G.-C. Carrillo0Emanuele Gemo1Xuan Li2Nathan Youngblood3Andrew Katumba4Peter Bienstman5Wolfram Pernice6Harish Bhaskaran7C. David Wright8Department of Engineering, University of Exeter, Exeter, United KingdomDepartment of Engineering, University of Exeter, Exeter, United KingdomDepartment of Materials, University of Oxford, Oxford, United KingdomDepartment of Materials, University of Oxford, Oxford, United KingdomGhent University - imec, Ghent, BelgiumGhent University - imec, Ghent, BelgiumInstitute of Physics, University of Münster, Münster, GermanyDepartment of Materials, University of Oxford, Oxford, United KingdomDepartment of Engineering, University of Exeter, Exeter, United KingdomThe combination of phase-change materials and integrated photonics has led to the development of new forms of all-optical devices, including photonic memories, arithmetic and logic processors, and synaptic and neuronal mimics. Such devices can be readily fabricated into photonic integrated circuits, so potentially delivering large-scale all-optical arithmetic-logic units and neuromorphic processing chips. To facilitate in the design and optimization of such large-scale systems, and to aid in the understanding of device and system performance, fast yet accurate computer models are needed. Here, we describe the development of a behavioral modeling tool that meets such requirements, being capable of essentially instantaneous modeling of the write, erase, and readout performance of various integrated phase-change photonic devices, including those for synaptic and neuronal mimics.http://dx.doi.org/10.1063/1.5111840
collection DOAJ
language English
format Article
sources DOAJ
author Santiago G.-C. Carrillo
Emanuele Gemo
Xuan Li
Nathan Youngblood
Andrew Katumba
Peter Bienstman
Wolfram Pernice
Harish Bhaskaran
C. David Wright
spellingShingle Santiago G.-C. Carrillo
Emanuele Gemo
Xuan Li
Nathan Youngblood
Andrew Katumba
Peter Bienstman
Wolfram Pernice
Harish Bhaskaran
C. David Wright
Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications
APL Materials
author_facet Santiago G.-C. Carrillo
Emanuele Gemo
Xuan Li
Nathan Youngblood
Andrew Katumba
Peter Bienstman
Wolfram Pernice
Harish Bhaskaran
C. David Wright
author_sort Santiago G.-C. Carrillo
title Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications
title_short Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications
title_full Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications
title_fullStr Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications
title_full_unstemmed Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications
title_sort behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications
publisher AIP Publishing LLC
series APL Materials
issn 2166-532X
publishDate 2019-09-01
description The combination of phase-change materials and integrated photonics has led to the development of new forms of all-optical devices, including photonic memories, arithmetic and logic processors, and synaptic and neuronal mimics. Such devices can be readily fabricated into photonic integrated circuits, so potentially delivering large-scale all-optical arithmetic-logic units and neuromorphic processing chips. To facilitate in the design and optimization of such large-scale systems, and to aid in the understanding of device and system performance, fast yet accurate computer models are needed. Here, we describe the development of a behavioral modeling tool that meets such requirements, being capable of essentially instantaneous modeling of the write, erase, and readout performance of various integrated phase-change photonic devices, including those for synaptic and neuronal mimics.
url http://dx.doi.org/10.1063/1.5111840
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