Nonvolatile Electrically Reconfigurable Integrated Photonic Switch Enabled by a Silicon PIN Diode Heater.

integrated photonics nonvolatile photonic switches phase-change materials reconfigurable photonics silicon photonics

Journal

Advanced materials (Deerfield Beach, Fla.)
ISSN: 1521-4095
Titre abrégé: Adv Mater
Pays: Germany
ID NLM: 9885358

Informations de publication

Date de publication:
Aug 2020
Historique:
received: 20 02 2020
revised: 17 04 2020
pubmed: 27 6 2020
medline: 27 6 2020
entrez: 27 6 2020
Statut: ppublish

Résumé

Reconfigurability of photonic integrated circuits (PICs) has become increasingly important due to the growing demands for electronic-photonic systems on a chip driven by emerging applications, including neuromorphic computing, quantum information, and microwave photonics. Success in these fields usually requires highly scalable photonic switching units as essential building blocks. Current photonic switches, however, mainly rely on materials with weak, volatile thermo-optic or electro-optic modulation effects, resulting in large footprints and high energy consumption. As a promising alternative, chalcogenide phase-change materials (PCMs) exhibit strong optical modulation in a static, self-holding fashion, but the scalability of present PCM-integrated photonic applications is still limited by the poor optical or electrical actuation approaches. Here, with phase transitions actuated by in situ silicon PIN diode heaters, scalable nonvolatile electrically reconfigurable photonic switches using PCM-clad silicon waveguides and microring resonators are demonstrated. As a result, intrinsically compact and energy-efficient switching units operated with low driving voltages, near-zero additional loss, and reversible switching with high endurance are obtained in a complementary metal-oxide-semiconductor (CMOS)-compatible process. This work can potentially enable very large-scale CMOS-integrated programmable electronic-photonic systems such as optical neural networks and general-purpose integrated photonic processors.

Identifiants

pubmed: 32588481
doi: 10.1002/adma.202001218
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e2001218

Subventions

Organisme : SRC
ID : 2017-IN-2743
Organisme : Samsung GRO
Organisme : NSF-EFRI
ID : 1640986
Organisme : AFOSR
ID : FA9550-17-C-0017
Organisme : ONR MURI
ID : N00014-17-1-2661
Organisme : National Natural Science Foundation of China
ID : 61875099
Organisme : National Science Foundation
ID : NNCI-1542101
Organisme : National Science Foundation
ID : 1337840
Organisme : National Science Foundation
ID : 0335765
Organisme : NIH HHS
Pays : United States
Organisme : Molecular Engineering & Sciences Institute
Organisme : Clean Energy Institute
Organisme : Washington Research Foundation
Organisme : NIH HHS
Pays : United States

Informations de copyright

© 2020 WILEY-VCH Verlag GmbH & Co. KGaA, Weinheim.

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Auteurs

Jiajiu Zheng (J)

Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98195, USA.

Zhuoran Fang (Z)

Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98195, USA.

Changming Wu (C)

Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98195, USA.

Shifeng Zhu (S)

Department of Physics, University of Washington, Seattle, WA, 98195, USA.

Peipeng Xu (P)

Laboratory of Infrared Materials and Devices, Advanced Technology Research Institute, Ningbo University, Ningbo, 315211, China.

Jonathan K Doylend (JK)

Silicon Photonic Products Division, Intel Corporation, Santa Clara, CA, 95054, USA.

Sanchit Deshmukh (S)

Department of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA.

Eric Pop (E)

Department of Electrical Engineering, Stanford University, Stanford, CA, 94305, USA.

Scott Dunham (S)

Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98195, USA.
Department of Physics, University of Washington, Seattle, WA, 98195, USA.

Mo Li (M)

Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98195, USA.
Department of Physics, University of Washington, Seattle, WA, 98195, USA.

Arka Majumdar (A)

Department of Electrical and Computer Engineering, University of Washington, Seattle, WA, 98195, USA.
Department of Physics, University of Washington, Seattle, WA, 98195, USA.

Classifications MeSH