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dc.contributor.authorVarri, A
dc.contributor.authorTaheriniya, S
dc.contributor.authorBrückerhoff-Plückelmann, F
dc.contributor.authorBente, I
dc.contributor.authorFarmakidis, N
dc.contributor.authorBernhardt, D
dc.contributor.authorRösner, H
dc.contributor.authorKruth, M
dc.contributor.authorNadzeyka, A
dc.contributor.authorRichter, T
dc.contributor.authorWright, CD
dc.contributor.authorBhaskaran, H
dc.contributor.authorWilde, G
dc.contributor.authorPernice, WHP
dc.date.accessioned2023-12-01T10:24:40Z
dc.date.issued2023-11-24
dc.date.updated2023-11-30T18:08:33Z
dc.description.abstractPhotonic Integrated Circuits (PICs) are revolutionizing the realm of information technology, promising unprecedented speeds and efficiency in data processing and optical communication. However, the nanoscale precision required to fabricate these circuits at scale presents significant challenges, due to the need to maintain consistency across wavelength-selective components, which necessitates individualized adjustments after fabrication. Harnessing spectral alignment by automated silicon ion implantation, in this work scalable and non-volatile photonic computational memories are demonstrated in high quality resonant devices. Precise spectral trimming of large-scale photonic ensembles from few picometers to several nanometres is achieved with long-term stability and marginal loss penalty. Based on this approach spectrally aligned photonic memory and computing systems for general matrix multiplication are demonstrated, enabling wavelength multiplexed integrated architectures at large scales. This article is protected by copyright. All rights reserved.en_GB
dc.description.sponsorshipEuropean Union Horizon 2020en_GB
dc.description.sponsorshipEuropean Research Council (ERC)en_GB
dc.description.sponsorshipDeutsche Forschungsgemeinschaft (DFG)en_GB
dc.description.sponsorshipVolkswagen Foundationen_GB
dc.identifier.citationVol. 36 (8), article 2310596en_GB
dc.identifier.doihttps://doi.org/10.1002/adma.202310596
dc.identifier.grantnumber101017237en_GB
dc.identifier.grantnumber101046878en_GB
dc.identifier.grantnumber390900948en_GB
dc.identifier.grantnumber390761711en_GB
dc.identifier.grantnumberCRC 1459en_GB
dc.identifier.urihttp://hdl.handle.net/10871/134706
dc.identifierORCID: 0000-0003-4087-7467 (Wright, Christopher David)
dc.language.isoenen_GB
dc.publisherWileyen_GB
dc.relation.urlhttps://www.ncbi.nlm.nih.gov/pubmed/37997459en_GB
dc.rights© 2023 The Authors. Advanced Materials published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposesen_GB
dc.subjectelectron energy-loss spectroscopyen_GB
dc.subjectfocused ion implantationen_GB
dc.subjectmicro-ring resonatorsen_GB
dc.subjectphotonic integrated circuitsen_GB
dc.subjectwavelength division multiplexingen_GB
dc.titleScalable non-volatile tuning of photonic computational memories by automated silicon ion implantationen_GB
dc.typeArticleen_GB
dc.date.available2023-12-01T10:24:40Z
dc.identifier.issn0935-9648
exeter.place-of-publicationGermany
dc.descriptionThis is the final version. Available on open access from Wiley via the DOI in this record en_GB
dc.descriptionData Availability Statement: All data used in this study are available from the corresponding author upon reasonable requesten_GB
dc.identifier.eissn1521-4095
dc.identifier.journalAdvanced Materialsen_GB
dc.rights.urihttps://creativecommons.org/licenses/by-nc/4.0/en_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2023-11-24
rioxxterms.typeJournal Article/Reviewen_GB
refterms.dateFCD2023-12-01T10:16:35Z
refterms.versionFCDAM
refterms.dateFOA2023-12-01T10:24:45Z
refterms.panelBen_GB
refterms.dateFirstOnline2023-11-24


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© 2023 The Authors. Advanced Materials published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes
Except where otherwise noted, this item's licence is described as © 2023 The Authors. Advanced Materials published by Wiley-VCH GmbH. This is an open access article under the terms of the Creative Commons Attribution-NonCommercial License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited and is not used for commercial purposes