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Unveiling cutting-edge developments: architectures and nanostructured materials for application in optoelectronic artificial synapses. | LitMetric

AI Article Synopsis

  • The text discusses the development of brain-inspired photonics technology derived from low-level characteristics in traditional computing systems, emphasizing the importance of optoelectronic neural devices that mimic biological synapses.
  • It highlights the benefits of nanosized materials and device designs, which enhance reliability, speed, and efficiency in processing and computation.
  • The paper also reviews advances in optoelectronic synaptic devices made from various nanomaterials and examines the challenges and future potential within this research area.

Article Abstract

One possible result of low-level characteristics in the traditional von Neumann formulation system is brain-inspired photonics technology based on human brain idea. Optoelectronic neural devices, which are accustomed to imitating the sensory role of biological synapses by adjusting connection measures, can be used to fabricate highly reliable neurologically calculating devices. In this case, nanosized materials and device designs are attracting attention since they provide numerous potential benefits in terms of limited cool contact, rapid transfer fluidity, and the capture of photocarriers. In addition, the combination of classic nanosized photodetectors with recently generated digital synapses offers promising results in a variety of practical applications, such as data processing and computation. Herein, we present the progress in constructing improved optoelectronic synaptic devices that rely on nanomaterials, for example, 0-dimensional (quantum dots), 1-dimensional, and 2-dimensional composites, besides the continuously developing mixed heterostructures. Furthermore, the challenges and potential prospects linked with this field of study are discussed in this paper.

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Source
http://dx.doi.org/10.1039/d4nr00904eDOI Listing

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