| |  Online-Ressource |
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| Verfasst von: | Varri, Akhil [VerfasserIn]  |
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| | Taheriniya, Shabnam [VerfasserIn] |
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| | Brückerhoff-Plückelmann, Frank [VerfasserIn] |
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| | Bente, Ivonne [VerfasserIn] |
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| | Farmakidis, Nikolaos [VerfasserIn] |
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| | Bernhardt, Daniel [VerfasserIn] |
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| | Rösner, Harald [VerfasserIn] |
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| | Kruth, Maximilian [VerfasserIn] |
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| | Nadzeyka, Achim [VerfasserIn] |
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| | Richter, Torsten [VerfasserIn] |
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| | Wright, Christopher David [VerfasserIn] |
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| | Bhaskaran, Harish [VerfasserIn] |
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| | Wilde, Gerhard [VerfasserIn] |
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| | Pernice, Wolfram [VerfasserIn] |
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| Titel: | Scalable Non-Volatile Tuning of Photonic Computational Memories by Automated Silicon Ion Implantation |
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| Verf.angabe: | Akhil Varri, Shabnam Taheriniya, Frank Brückerhoff-Plückelmann, Ivonne Bente, Nikolaos Farmakidis, Daniel Bernhardt, Harald Rösner, Maximilian Kruth, Achim Nadzeyka, Torsten Richter, Christopher David Wright, Harish Bhaskaran, Gerhard Wilde, and Wolfram H. P. Pernice |
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| Ausgabe: | Online version of record before inclusion in an issue |
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| E-Jahr: | 2023 |
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| Jahr: | 24 November 2023 |
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| Umfang: | 11 S. |
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| Illustrationen: | Illustrationen |
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| Fussnoten: | Gesehen am 30.01.2024 |
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| Titel Quelle: | Enthalten in: Advanced materials |
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| Ort Quelle: | Weinheim : Wiley-VCH, 1989 |
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| Jahr Quelle: | 2023 |
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| Band/Heft Quelle: | (2023), Artikel-ID 2310596, Seite 1-11 |
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| ISSN Quelle: | 1521-4095 |
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| 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 a 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. |
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| DOI: | doi:10.1002/adma.202310596 |
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| URL: | Bitte beachten Sie: Dies ist ein Bibliographieeintrag. Ein Volltextzugriff für Mitglieder der Universität besteht hier nur, falls für die entsprechende Zeitschrift/den entsprechenden Sammelband ein Abonnement besteht oder es sich um einen OpenAccess-Titel handelt.
kostenfrei: Volltext: https://doi.org/10.1002/adma.202310596 |
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| | kostenfrei: Volltext: https://onlinelibrary.wiley.com/doi/abs/10.1002/adma.202310596 |
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| | DOI: https://doi.org/10.1002/adma.202310596 |
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| Datenträger: | Online-Ressource |
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| Sprache: | eng |
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| Sach-SW: | electron energy-loss spectroscopy |
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| | focused ion implantation |
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| | micro-ring resonators |
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| | photonic integrated circuits |
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| | wavelength division multiplexing |
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| K10plus-PPN: | 187951494X |
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| Verknüpfungen: | → Zeitschrift |
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Scalable Non-Volatile Tuning of Photonic Computational Memories by Automated Silicon Ion Implantation / Varri, Akhil [VerfasserIn]; 24 November 2023 (Online-Ressource)
