Advanced materials (Weinheim), 2021-10, Vol.33 (40), p.n/a
2021
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- Autor(en) / Beteiligte
- Titel
- An Optogenetics‐Inspired Flexible van der Waals Optoelectronic Synapse and its Application to a Convolutional Neural Network (Adv. Mater. 40/2021)
- Ist Teil von
- Advanced materials (Weinheim), 2021-10, Vol.33 (40), p.n/a
- Ort / Verlag
- Weinheim: Wiley Subscription Services, Inc
- Erscheinungsjahr
- 2021
- Quelle
- Alma/SFX Local Collection
- Beschreibungen/Notizen
- Optoelectronic Synapses In article number 2102980, a flexible optoelectronic synapse fabricated on 2D van der Waals (vdW) layered rhenium disulfide, which features an inherent photosensitive memory nature derived from the persistent photoconductivity effect, is presented by Yong‐Hoon Kim, Jin‐Hong Park, and co‐workers. After in‐depth analysis including density functional theory calculations on rhenium disulfide, its feasibility for a hardware neural network with learning ability is also demonstrated using a convolutional neural network composed of vdW optoelectronic synapses.
- Sprache
- Englisch
- Identifikatoren
- ISSN: 0935-9648eISSN: 1521-4095DOI: 10.1002/adma.202170316Titel-ID: cdi_proquest_journals_2579072619
- Format
- –
- Schlagworte
- 2D van der Waals layered materials, Artificial neural networks, artificial optoelectronic synapses, brain‐inspired computing, convolutional neural networks, Density functional theory, flexible artificial synapses, Neural networks, Optoelectronics, persistent photoconductivity effect, Photoconductivity, Photosensitivity, Rhenium, rhenium disulfide, Synapses