Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications
dc.contributor.author | Carrillo, SG-C | |
dc.contributor.author | Gemo, E | |
dc.contributor.author | Li, X | |
dc.contributor.author | Youngblood, N | |
dc.contributor.author | Katumba, A | |
dc.contributor.author | Bienstman, P | |
dc.contributor.author | Pernice, W | |
dc.contributor.author | Bhaskaran, H | |
dc.contributor.author | Wright, CD | |
dc.date.accessioned | 2019-09-27T11:00:33Z | |
dc.date.issued | 2019-09-26 | |
dc.description.abstract | The combination of phase-change materials and integrated photonics has led to the development of new forms of all-optical devices, includingphotonic memories, arithmetic and logic processors, and synaptic and neuronal mimics. Such devices can be readily fabricated into photonicintegrated circuits, so potentially delivering large-scale all-optical arithmetic-logic units and neuromorphic processing chips. To facilitate inthe design and optimization of such large-scale systems, and to aid in the understanding of device and system performance, fast yet accuratecomputer models are needed. Here, we describe the development of a behavioral modeling tool that meets such requirements, being capableof essentially instantaneous modeling of the write, erase, and readout performance of various integrated phase-change photonic devices,including those for synaptic and neuronal mimics. | en_GB |
dc.description.sponsorship | Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
dc.description.sponsorship | European Commission | en_GB |
dc.identifier.citation | Vol. 7, 091113 | en_GB |
dc.identifier.doi | 10.1063/1.5111840 | |
dc.identifier.grantnumber | EP/L015331/1 | en_GB |
dc.identifier.grantnumber | 780848 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/38929 | |
dc.language.iso | en | en_GB |
dc.publisher | AIP Publishing | en_GB |
dc.rights | ©2019 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/) | en_GB |
dc.title | Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2019-09-27T11:00:33Z | |
dc.identifier.issn | 2166-532X | |
dc.description | This is the final version. Available from AIP Publishing via the DOI in this record. | en_GB |
dc.identifier.journal | APL Materials | en_GB |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | en_GB |
dcterms.dateAccepted | 2019-09-05 | |
exeter.funder | ::Engineering and Physical Sciences Research Council (EPSRC) | en_GB |
exeter.funder | ::European Commission | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2019-09-01 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2019-09-27T10:57:16Z | |
refterms.versionFCD | VoR | |
refterms.dateFOA | 2019-09-27T11:00:38Z | |
refterms.panel | B | en_GB |
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Except where otherwise noted, this item's licence is described as ©2019 Author(s). All article content, except where otherwise noted, is licensed under a Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/)