Coupled waveguides geometry retrieval using neural networks

Tom Coen; Hadar Greener; Michael Mrejen; Lior Wolf; Haim Suchowski

doi:https://doi.org/10.1364/CLEO_AT.2020.JTh2B.2

Coupled waveguides geometry retrieval using neural networks

Tom Coen, Hadar Greener, Michael Mrejen, Lior Wolf, Haim Suchowski

Tel Aviv University

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

Abstract

This work presents a data driven method to retrieve the geometry of a coupled waveguide system from the measured intensity of the electric field. It is shown that neural networks perform better than kNN regression.

Original language	English
Title of host publication	CLEO
Subtitle of host publication	Applications and Technology, CLEO_AT 2020
Publisher	Optica Publishing Group (formerly OSA)
ISBN (Print)	9781943580767
DOIs	https://doi.org/10.1364/CLEO_AT.2020.JTh2B.2
State	Published - 2020
Event	CLEO: Applications and Technology, CLEO_AT 2020 - Washington, United States Duration: 10 May 2020 → 15 May 2020

Publication series

Name	Optics InfoBase Conference Papers
Volume	Part F181-CLEO-AT 2020

Conference

Conference	CLEO: Applications and Technology, CLEO_AT 2020
Country/Territory	United States
City	Washington
Period	10/05/20 → 15/05/20

All Science Journal Classification (ASJC) codes

Electronic, Optical and Magnetic Materials
Mechanics of Materials

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https://doi.org/10.1364/CLEO_AT.2020.JTh2B.2

Cite this

@inproceedings{daec5c1267d44f2796e4e833ebaf3831,

title = "Coupled waveguides geometry retrieval using neural networks",

abstract = "This work presents a data driven method to retrieve the geometry of a coupled waveguide system from the measured intensity of the electric field. It is shown that neural networks perform better than kNN regression.",

author = "Tom Coen and Hadar Greener and Michael Mrejen and Lior Wolf and Haim Suchowski",

note = "Publisher Copyright: CLEO 2020 {\textcopyright} OSA 2020, {\textcopyright} 2020 The Author(s).; CLEO: Applications and Technology, CLEO_AT 2020 ; Conference date: 10-05-2020 Through 15-05-2020",

year = "2020",

doi = "https://doi.org/10.1364/CLEO_AT.2020.JTh2B.2",

language = "الإنجليزيّة",

isbn = "9781943580767",

series = "Optics InfoBase Conference Papers",

publisher = "Optica Publishing Group (formerly OSA)",

booktitle = "CLEO",

}

Coen, T, Greener, H, Mrejen, M, Wolf, L & Suchowski, H 2020, Coupled waveguides geometry retrieval using neural networks. in CLEO: Applications and Technology, CLEO_AT 2020., JTh2B.2, Optics InfoBase Conference Papers, vol. Part F181-CLEO-AT 2020, Optica Publishing Group (formerly OSA), CLEO: Applications and Technology, CLEO_AT 2020, Washington, United States, 10/05/20. https://doi.org/10.1364/CLEO_AT.2020.JTh2B.2

Coupled waveguides geometry retrieval using neural networks. / Coen, Tom; Greener, Hadar; Mrejen, Michael et al.
CLEO: Applications and Technology, CLEO_AT 2020. Optica Publishing Group (formerly OSA), 2020. JTh2B.2 (Optics InfoBase Conference Papers; Vol. Part F181-CLEO-AT 2020).

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

TY - GEN

T1 - Coupled waveguides geometry retrieval using neural networks

AU - Coen, Tom

AU - Greener, Hadar

AU - Mrejen, Michael

AU - Wolf, Lior

AU - Suchowski, Haim

PY - 2020

Y1 - 2020

N2 - This work presents a data driven method to retrieve the geometry of a coupled waveguide system from the measured intensity of the electric field. It is shown that neural networks perform better than kNN regression.

AB - This work presents a data driven method to retrieve the geometry of a coupled waveguide system from the measured intensity of the electric field. It is shown that neural networks perform better than kNN regression.

UR - http://www.scopus.com/inward/record.url?scp=85095132603&partnerID=8YFLogxK

U2 - https://doi.org/10.1364/CLEO_AT.2020.JTh2B.2

DO - https://doi.org/10.1364/CLEO_AT.2020.JTh2B.2

M3 - منشور من مؤتمر

SN - 9781943580767

T3 - Optics InfoBase Conference Papers

BT - CLEO

PB - Optica Publishing Group (formerly OSA)

T2 - CLEO: Applications and Technology, CLEO_AT 2020

Y2 - 10 May 2020 through 15 May 2020

ER -

Coupled waveguides geometry retrieval using neural networks

Abstract

Publication series

Conference

All Science Journal Classification (ASJC) codes

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