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

(2019) APL MATERIALS. 7(9).
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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.
Keywords
CRYSTALLIZATION, GE2SB2TE5

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Citation

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MLA
Carrillo, Santiago G. C., et al. “Behavioral Modeling of Integrated Phase-Change Photonic Devices for Neuromorphic Computing Applications.” APL MATERIALS, vol. 7, no. 9, 2019.
APA
Carrillo, S. G.-C., Gemo, E., Li, X., Youngblood, N., Katumba, A., Bienstman, P., … Wright, C. D. (2019). Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications. APL MATERIALS, 7(9).
Chicago author-date
Carrillo, Santiago G.-C., Emanuele Gemo, Xuan Li, Nathan Youngblood, Andrew Katumba, Peter Bienstman, Wolfram Pernice, Harish Bhaskaran, and C. David Wright. 2019. “Behavioral Modeling of Integrated Phase-Change Photonic Devices for Neuromorphic Computing Applications.” APL MATERIALS 7 (9).
Chicago author-date (all authors)
Carrillo, Santiago G.-C., Emanuele Gemo, Xuan Li, Nathan Youngblood, Andrew Katumba, Peter Bienstman, Wolfram Pernice, Harish Bhaskaran, and C. David Wright. 2019. “Behavioral Modeling of Integrated Phase-Change Photonic Devices for Neuromorphic Computing Applications.” APL MATERIALS 7 (9).
Vancouver
1.
Carrillo SG-C, Gemo E, Li X, Youngblood N, Katumba A, Bienstman P, et al. Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications. APL MATERIALS. 2019;7(9).
IEEE
[1]
S. G.-C. Carrillo et al., “Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications,” APL MATERIALS, vol. 7, no. 9, 2019.
@article{8653032,
  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.},
  articleno    = {091113},
  author       = {Carrillo, Santiago G.-C. and Gemo, Emanuele and Li, Xuan and Youngblood, Nathan and Katumba, Andrew and Bienstman, Peter and Pernice, Wolfram and Bhaskaran, Harish and Wright, C. David},
  issn         = {2166-532X},
  journal      = {APL MATERIALS},
  keywords     = {CRYSTALLIZATION,GE2SB2TE5},
  language     = {eng},
  number       = {9},
  pages        = {7},
  title        = {Behavioral modeling of integrated phase-change photonic devices for neuromorphic computing applications},
  url          = {http://dx.doi.org/10.1063/1.5111840},
  volume       = {7},
  year         = {2019},
}

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