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    <identifier>10.57760/sciencedb.27922</identifier>
    <datestamp>2025-07-16T16:54:42Z</datestamp>
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  <dc:date>2025-07-16</dc:date>
  <dc:title>Artificial Neuro-Optical Synapses Based on Moir&amp;eacute; Superlattices Achieve Long-Term Information Retention</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.27922</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>The dataset includes all data information, specifically: optical microscope images of all devices, polarisation direction tests of the devices (polarisation-dependent SHG data and polarisation Raman data), device characterisation data (SEM images, Raman test data), photocurrent data of the devices (variable power vs. variable wavelength), specific data on the comparison of the performance of all the devices, device result fitting data, AFM test and Kelvin AFM test data, switching test (variable wavelength, variable power, variable number of pulses, variable pulse frequency and variable bias) for one cycle and four cycles, cyclic stability data and associative learning training data for the device</dc:description>
  <dc:subject>Moire superlattices; neuro-optical synapses; MoS2; ReS2</dc:subject>
  <dc:creator>chang</dc:creator>
  <dc:creator>Jun</dc:creator>
  <dc:rights>RESTRICTED</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:publisher>Science Data Bank</dc:publisher>
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