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    <responseDate>2026-10-11T22:55:06Z</responseDate>
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    <identifier>10.57760/sciencedb.16497</identifier>
    <datestamp>2024-11-08T11:30:21Z</datestamp>
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<oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:date>2024-11-08</dc:date>
  <dc:title>Ultra-broadband all-optical nonlinear activation function enabled by MoTe2/optical waveguide integrated devices</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.16497</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>	All-optical nonlinear activation functions (NAFs) are crucial for enabling rapid optical neural networks (ONNs). As linear matrix computation advances in integrated ONNs, on-chip all-optical NAFs face challenges such as limited integration, high latency, substantial power consumption, and a high activation threshold. In this work, we develop a new integrated nonlinear optical activator based on the butt-coupling integration of two-dimensional (2D) material and optical waveguides (OWGs). The activator exhibits an ultra-broadband response from visible to near-infrared wavelength, a low activation threshold of 0.94 &amp;mu;W, a small device size (~50 &amp;micro;m2), an ultra-fast response rate (2.08 THz), and high-density integration. The excellent nonlinear effects and broadband response of 2D materials have been utilized to create all-optical NAFs. These activators were applied to simulate MNIST handwritten digit recognition, achieving an accuracy of 97.6%. The results underscore the potential application of this approach in ONNs. Moreover, the classification of more intricate CIFAR-10 images demonstrated a generalizable accuracy of 94.6%. The present nonlinear activator promises a new general platform for three-dimensional (3D) ultra-broadband ONNs with dense integration and low activation threshold by integrating a variety of strong nonlinear optical (NLO) materials (e.g., 2D materials) and OWGs in glass. </dc:description>
  <dc:subject> nonlinear activation function ; integrated devices; optical neural networks</dc:subject>
  <dc:creator>Zhan Yang</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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