Photonic Synapse of CrSBr/PtS2 Transistor for Neuromorphic Computing and Light Decoding Article Swipe
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· 2024
· Open Access
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· DOI: https://doi.org/10.1002/adfm.202410974
Field effect transistors based on 2D layered material have gained significant potential in emerging technologies, such as neuromorphic computing and ultrafast memory response for artificial intelligence applications. This study proposes a facile approach to fabricate an optoelectronic artificial synapse for neuromorphic computing and light‐decoding information system by utilizing the 2D heterostructure of CrSBr/PtS 2 to overcome circuit complexity. The CrSBr layer serves as a trapping layer, while PtS 2 , mounted on top of CrSBr, acts as a channel layer. PtS 2 exhibits n‐type semiconductor behavior with a hysteresis that varies with the thickness of the underlying CrSBr layer. The heterostructure device, featuring a 96.3 nm thick CrSBr layer, exhibited a large memory window of 11.9 V when the gate voltage is swept from −10 V to +10 V. Various synaptic behaviors are effectively demonstrated, including paired‐pulse facilitation, excitatory postsynaptic current, optical spike number and intensity‐dependent plasticity using laser light at a wavelength of 365 nm. The device achieves 26 distinct output signals depending on the intensity of the incident laser light, ranging from 10 to 385 mW cm −2 , enabling its applications for light‐decoded information security systems. Thus, the investigation presents a unique approach to artificial intelligence and cybersecurity systems.
Related Topics
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1002/adfm.202410974
- OA Status
- hybrid
- Cited By
- 14
- References
- 69
- Related Works
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- OpenAlex ID
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Raw OpenAlex JSON
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https://openalex.org/W4403432180Canonical identifier for this work in OpenAlex
- DOI
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https://doi.org/10.1002/adfm.202410974Digital Object Identifier
- Title
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Photonic Synapse of CrSBr/PtS2 Transistor for Neuromorphic Computing and Light DecodingWork title
- Type
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articleOpenAlex work type
- Language
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enPrimary language
- Publication year
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2024Year of publication
- Publication date
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2024-10-15Full publication date if available
- Authors
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Muhammad Asghar Khan, Muhammad Farooq Khan, Muhammad Jawad Nasim, Ehsan Elahi, Muhammad Rabeel, Muhammad Asim, Arslan Rehmat, Muhammad Hamza Pervez, Shania Rehman, Honggyun Kim, Jonghwa EomList of authors in order
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https://doi.org/10.1002/adfm.202410974Publisher landing page
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YesWhether a free full text is available
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hybridOpen access status per OpenAlex
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https://doi.org/10.1002/adfm.202410974Direct OA link when available
- Concepts
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Neuromorphic engineering, Materials science, Photonics, Decoding methods, Synapse, Optoelectronics, Transistor, Computer science, Telecommunications, Artificial neural network, Electrical engineering, Neuroscience, Artificial intelligence, Biology, Voltage, EngineeringTop concepts (fields/topics) attached by OpenAlex
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14Total citation count in OpenAlex
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2025: 13, 2024: 1Per-year citation counts (last 5 years)
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69Number of works referenced by this work
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10Other works algorithmically related by OpenAlex
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