001     1038895
005     20250310131235.0
024 7 _ |a 10.1038/s41467-024-44773-7
|2 doi
024 7 _ |a 10.34734/FZJ-2025-01706
|2 datacite_doi
024 7 _ |a 38228602
|2 pmid
024 7 _ |a WOS:001147728500002
|2 WOS
037 _ _ |a FZJ-2025-01706
082 _ _ |a 500
100 1 _ |a Tossoun, Bassem
|0 0000-0003-3608-8369
|b 0
245 _ _ |a High-speed and energy-efficient non-volatile silicon photonic memory based on heterogeneously integrated memresonator
260 _ _ |a [London]
|c 2024
|b Springer Nature
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1738850373_13173
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
520 _ _ |a Recently, interest in programmable photonics integrated circuits has grown as a potential hardware framework for deep neural networks, quantum computing, and field programmable arrays (FPGAs). However, these circuits are constrained by the limited tuning speed and large power consumption of the phase shifters used. In this paper, we introduce the memresonator, a metal-oxide memristor heterogeneously integrated with a microring resonator, as a non-volatile silicon photonic phase shifter. These devices are capable of retention times of 12 hours, switching voltages lower than 5 V, and an endurance of 1000 switching cycles. Also, these memresonators have been switched using 300 ps long voltage pulses with a record low switching energy of 0.15 pJ. Furthermore, these memresonators are fabricated on a heterogeneous III-V-on-Si platform capable of integrating a rich family of active and passive optoelectronic devices directly on-chip to enable in-memory photonic computing and further advance the scalability of integrated photonic processors.
536 _ _ |a 5234 - Emerging NC Architectures (POF4-523)
|0 G:(DE-HGF)POF4-5234
|c POF4-523
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, Journals: juser.fz-juelich.de
700 1 _ |a Liang, Di
|0 0000-0003-1366-0115
|b 1
700 1 _ |a Cheung, Stanley
|0 0000-0002-4886-0013
|b 2
700 1 _ |a Fang, Zhuoran
|0 P:(DE-HGF)0
|b 3
700 1 _ |a Sheng, Xia
|0 P:(DE-HGF)0
|b 4
700 1 _ |a Strachan, John Paul
|0 P:(DE-Juel1)188145
|b 5
700 1 _ |a Beausoleil, Raymond G.
|0 P:(DE-HGF)0
|b 6
773 _ _ |a 10.1038/s41467-024-44773-7
|g Vol. 15, no. 1, p. 551
|0 PERI:(DE-600)2553671-0
|n 1
|p 551
|t Nature Communications
|v 15
|y 2024
|x 2041-1723
856 4 _ |u https://www.nature.com/articles/s41467-024-44773-7
856 4 _ |u https://juser.fz-juelich.de/record/1038895/files/s41467-024-44773-7.pdf
|y OpenAccess
909 C O |o oai:juser.fz-juelich.de:1038895
|p openaire
|p open_access
|p VDB
|p driver
|p dnbdelivery
910 1 _ |a Forschungszentrum Jülich
|0 I:(DE-588b)5008462-8
|k FZJ
|b 5
|6 P:(DE-Juel1)188145
913 1 _ |a DE-HGF
|b Key Technologies
|l Natural, Artificial and Cognitive Information Processing
|1 G:(DE-HGF)POF4-520
|0 G:(DE-HGF)POF4-523
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-500
|4 G:(DE-HGF)POF
|v Neuromorphic Computing and Network Dynamics
|9 G:(DE-HGF)POF4-5234
|x 0
914 1 _ |y 2024
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2025-01-02
915 _ _ |a OpenAccess
|0 StatID:(DE-HGF)0510
|2 StatID
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1040
|2 StatID
|b Zoological Record
|d 2025-01-02
915 _ _ |a IF >= 15
|0 StatID:(DE-HGF)9915
|2 StatID
|b NAT COMMUN : 2022
|d 2025-01-02
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b NAT COMMUN : 2022
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2024-01-30T07:48:07Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2024-01-30T07:48:07Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1030
|2 StatID
|b Current Contents - Life Sciences
|d 2025-01-02
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2025-01-02
915 _ _ |a Creative Commons Attribution CC BY 4.0
|0 LIC:(DE-HGF)CCBY4
|2 HGFVOC
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2025-01-02
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Peer review
|d 2024-01-30T07:48:07Z
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1060
|2 StatID
|b Current Contents - Agriculture, Biology and Environmental Sciences
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1150
|2 StatID
|b Current Contents - Physical, Chemical and Earth Sciences
|d 2025-01-02
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2025-01-02
920 1 _ |0 I:(DE-Juel1)PGI-14-20210412
|k PGI-14
|l Neuromorphic Compute Nodes
|x 0
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a UNRESTRICTED
980 _ _ |a I:(DE-Juel1)PGI-14-20210412
980 1 _ |a FullTexts


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21