Scalable non-volatile tuning of photonic computational memories by automated silicon ion implantation
dc.contributor.author | Varri, A | |
dc.contributor.author | Taheriniya, S | |
dc.contributor.author | Brückerhoff-Plückelmann, F | |
dc.contributor.author | Bente, I | |
dc.contributor.author | Farmakidis, N | |
dc.contributor.author | Bernhardt, D | |
dc.contributor.author | Rösner, H | |
dc.contributor.author | Kruth, M | |
dc.contributor.author | Nadzeyka, A | |
dc.contributor.author | Richter, T | |
dc.contributor.author | Wright, CD | |
dc.contributor.author | Bhaskaran, H | |
dc.contributor.author | Wilde, G | |
dc.contributor.author | Pernice, WHP | |
dc.date.accessioned | 2023-12-01T10:24:40Z | |
dc.date.issued | 2023-11-24 | |
dc.date.updated | 2023-11-30T18:08:33Z | |
dc.description.abstract | Photonic 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.sponsorship | European Union Horizon 2020 | en_GB |
dc.description.sponsorship | European Research Council (ERC) | en_GB |
dc.description.sponsorship | Deutsche Forschungsgemeinschaft (DFG) | en_GB |
dc.description.sponsorship | Volkswagen Foundation | en_GB |
dc.identifier.citation | Vol. 36 (8), article 2310596 | en_GB |
dc.identifier.doi | https://doi.org/10.1002/adma.202310596 | |
dc.identifier.grantnumber | 101017237 | en_GB |
dc.identifier.grantnumber | 101046878 | en_GB |
dc.identifier.grantnumber | 390900948 | en_GB |
dc.identifier.grantnumber | 390761711 | en_GB |
dc.identifier.grantnumber | CRC 1459 | en_GB |
dc.identifier.uri | http://hdl.handle.net/10871/134706 | |
dc.identifier | ORCID: 0000-0003-4087-7467 (Wright, Christopher David) | |
dc.language.iso | en | en_GB |
dc.publisher | Wiley | en_GB |
dc.relation.url | https://www.ncbi.nlm.nih.gov/pubmed/37997459 | en_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 purposes | en_GB |
dc.subject | electron energy-loss spectroscopy | en_GB |
dc.subject | focused ion implantation | en_GB |
dc.subject | micro-ring resonators | en_GB |
dc.subject | photonic integrated circuits | en_GB |
dc.subject | wavelength division multiplexing | en_GB |
dc.title | Scalable non-volatile tuning of photonic computational memories by automated silicon ion implantation | en_GB |
dc.type | Article | en_GB |
dc.date.available | 2023-12-01T10:24:40Z | |
dc.identifier.issn | 0935-9648 | |
exeter.place-of-publication | Germany | |
dc.description | This is the final version. Available on open access from Wiley via the DOI in this record | en_GB |
dc.description | Data Availability Statement: All data used in this study are available from the corresponding author upon reasonable request | en_GB |
dc.identifier.eissn | 1521-4095 | |
dc.identifier.journal | Advanced Materials | en_GB |
dc.rights.uri | https://creativecommons.org/licenses/by-nc/4.0/ | en_GB |
rioxxterms.version | VoR | en_GB |
rioxxterms.licenseref.startdate | 2023-11-24 | |
rioxxterms.type | Journal Article/Review | en_GB |
refterms.dateFCD | 2023-12-01T10:16:35Z | |
refterms.versionFCD | AM | |
refterms.dateFOA | 2023-12-01T10:24:45Z | |
refterms.panel | B | en_GB |
refterms.dateFirstOnline | 2023-11-24 |
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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