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

Authors
  • Carrillo, Santiago G.-C.
  • Gemo, Emanuele
  • Li, Xuan
  • Youngblood, Nathan
  • Katumba, Andrew
  • Bienstman, Peter
  • Pernice, Wolfram
  • Bhaskaran, Harish
  • Wright, C. David
Publication Date
Jan 01, 2019
Identifiers
DOI: 10.1063/1.5111840
OAI: oai:archive.ugent.be:8653032
Source
Ghent University Institutional Archive
Keywords
Language
English
License
Green
External links

Abstract

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.

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