Spatiotemporal pattern recognition with cascadable graphene excitable lasers

Bhavin J. Shastri; Alexander N. Tait; Mitchell A. Nahmias; Ben Wu; Paul R. Prucnal

doi:10.1109/IPCon.2014.6995270

Spatiotemporal pattern recognition with cascadable graphene excitable lasers

Bhavin J. Shastri, Alexander N. Tait, Mitchell A. Nahmias, Ben Wu, Paul R. Prucnal

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

4 Scopus citations

Abstract

We demonstrate a simple photonic spatiotemporal pattern recognition (polychronization) circuit enabled by cascading two graphene excitable lasers. This technology is a potential candidate for information processing and computing.

Original language	English (US)
Title of host publication	2014 IEEE Photonics Conference, IPC 2014
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	573-574
Number of pages	2
ISBN (Electronic)	9781457715044
DOIs	https://doi.org/10.1109/IPCon.2014.6995270
State	Published - Dec 22 2014
Event	27th IEEE Photonics Conference, IPC 2014 - San Diego, United States Duration: Oct 12 2014 → Oct 16 2014

Publication series

Name	2014 IEEE Photonics Conference, IPC 2014

Other

Other	27th IEEE Photonics Conference, IPC 2014
Country/Territory	United States
City	San Diego
Period	10/12/14 → 10/16/14

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Atomic and Molecular Physics, and Optics
Electrical and Electronic Engineering

Access to Document

10.1109/IPCon.2014.6995270

Cite this

Shastri, B. J., Tait, A. N., Nahmias, M. A., Wu, B., & Prucnal, P. R. (2014). Spatiotemporal pattern recognition with cascadable graphene excitable lasers. In 2014 IEEE Photonics Conference, IPC 2014 (pp. 573-574). Article 6995270 (2014 IEEE Photonics Conference, IPC 2014). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IPCon.2014.6995270

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title = "Spatiotemporal pattern recognition with cascadable graphene excitable lasers",

abstract = "We demonstrate a simple photonic spatiotemporal pattern recognition (polychronization) circuit enabled by cascading two graphene excitable lasers. This technology is a potential candidate for information processing and computing.",

author = "Shastri, {Bhavin J.} and Tait, {Alexander N.} and Nahmias, {Mitchell A.} and Ben Wu and Prucnal, {Paul R.}",

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 27th IEEE Photonics Conference, IPC 2014 ; Conference date: 12-10-2014 Through 16-10-2014",

year = "2014",

month = dec,

day = "22",

doi = "10.1109/IPCon.2014.6995270",

language = "English (US)",

series = "2014 IEEE Photonics Conference, IPC 2014",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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booktitle = "2014 IEEE Photonics Conference, IPC 2014",

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}

Shastri, BJ, Tait, AN, Nahmias, MA, Wu, B & Prucnal, PR 2014, Spatiotemporal pattern recognition with cascadable graphene excitable lasers. in 2014 IEEE Photonics Conference, IPC 2014., 6995270, 2014 IEEE Photonics Conference, IPC 2014, Institute of Electrical and Electronics Engineers Inc., pp. 573-574, 27th IEEE Photonics Conference, IPC 2014, San Diego, United States, 10/12/14. https://doi.org/10.1109/IPCon.2014.6995270

Spatiotemporal pattern recognition with cascadable graphene excitable lasers. / Shastri, Bhavin J.; Tait, Alexander N.; Nahmias, Mitchell A. et al.
2014 IEEE Photonics Conference, IPC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 573-574 6995270 (2014 IEEE Photonics Conference, IPC 2014).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Nahmias, Mitchell A.

AU - Wu, Ben

AU - Prucnal, Paul R.

PY - 2014/12/22

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N2 - We demonstrate a simple photonic spatiotemporal pattern recognition (polychronization) circuit enabled by cascading two graphene excitable lasers. This technology is a potential candidate for information processing and computing.

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Spatiotemporal pattern recognition with cascadable graphene excitable lasers

Abstract

Publication series

Other

All Science Journal Classification (ASJC) codes

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