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Electronic Synaptic Devices with High Thermostability Induced by Embedded Tungsten Disulfide Quantum Dots for Machine Learning

Abstract If the speed of machine learning is to be improved, devices and systems with strong resistances to various types of internal noise, mainly internal thermal noise, are urgently needed. The successful demonstration of a synaptic device is reported based on a polyimide–tungsten disulfide quant...

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Bibliografische gegevens
Hoofdauteurs: Haoqun An, Jun Seop An, Mingjun Li, Youngjin Kim, Tae Whan Kim
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Wiley-VCH 2023-02-01
Reeks:Advanced Electronic Materials
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Online toegang:https://doi.org/10.1002/aelm.202200876
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