Antimony as a programmable element in integrated nanophotonics

The use of nonlinear elements with memory as photonic computing components has seen a huge surge in interest in recent years with the rise of artificial intelligence and machine learning. A key component is the nonlinear element itself. A class of materials known as phase change materials has been e...

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Main Authors: Aggarwal, Samarth (Author) , Milne, Tara (Author) , Farmakidis, Nikolaos (Author) , Feldmann, Johannes (Author) , Li, Xuan (Author) , Shu, Yu (Author) , Cheng, Zengguang (Author) , Salinga, Martin (Author) , Pernice, Wolfram (Author) , Bhaskaran, Harish (Author)
Format: Article (Journal)
Language:English
Published: 22 April 2022
In: Nano letters
Year: 2022, Volume: 22, Issue: 9, Pages: 3532-3538
ISSN:1530-6992
DOI:10.1021/acs.nanolett.1c04286
Online Access:Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1021/acs.nanolett.1c04286
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Author Notes:Samarth Aggarwal, Tara Milne, Nikolaos Farmakidis, Johannes Feldmann, Xuan Li, Yu Shu, Zengguang Cheng, Martin Salinga, Wolfram HP Pernice, and Harish Bhaskaran
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Summary:The use of nonlinear elements with memory as photonic computing components has seen a huge surge in interest in recent years with the rise of artificial intelligence and machine learning. A key component is the nonlinear element itself. A class of materials known as phase change materials has been extensively used to demonstrate the viability of such computing. However, such materials continue to have relatively slow switching speeds, and issues with cyclability related to phase segregation of phase change alloys. Here, using antimony (Sb) thin films with thicknesses less than 5 nm we demonstrate reversible, ultrafast switching on an integrated photonic platform with retention time of tens of seconds. We use subpicosecond pulses, the shortest used to switch such elements, to program seven distinct memory levels. This portends their use in ultrafast nanophotonic applications ranging from nanophotonic beam steerers to nanoscale integrated elements for photonic computing.
Item Description:Gesehen am 13.07.2022
Physical Description:Online Resource
ISSN:1530-6992
DOI:10.1021/acs.nanolett.1c04286