Optoelectronic Synaptic Devices for Neuromorphic Computing [PDF]
Advanced Intelligent Systems, 2021 Neuromorphic computing can potentially solve the von Neumann bottleneck of current mainstream computing because it excels at self‐adaptive learning and highly parallel computing and consumes much less energy.
Yue Wang +7 more
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Optical Bio-Inspired Synaptic Devices [PDF]
NanomaterialsThe traditional computer with von Neumann architecture has the characteristics of separate storage and computing units, which leads to sizeable time and energy consumption in the process of data transmission, which is also the famous “von Neumann storage
Pengcheng Li +11 more
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Natural Organic Materials Based Memristors and Transistors for Artificial Synaptic Devices in Sustainable Neuromorphic Computing Systems [PDF]
Micromachines, 2023 Natural organic materials such as protein and carbohydrates are abundant in nature, renewable, and biodegradable, desirable for the construction of artificial synaptic devices for emerging neuromorphic computing systems with energy efficient operation ...
Md Mehedi Hasan Tanim +2 more
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Ion-Driven Electrochemical Random-Access Memory-Based Synaptic Devices for Neuromorphic Computing Systems: A Mini-Review [PDF]
Micromachines, 2022 To enhance the computing efficiency in a neuromorphic architecture, it is important to develop suitable memory devices that can emulate the role of biological synapses.
Heebum Kang +7 more
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Perovskite-Enhanced Silicon-Nanocrystal Optoelectronic Synaptic Devices for the Simulation of Biased and Correlated Random-Walk Learning [PDF]
Research, 2020 Silicon- (Si-) based optoelectronic synaptic devices mimicking biological synaptic functionalities may be critical to the development of large-scale integrated optoelectronic artificial neural networks.
Yiyue Zhu +6 more
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Spike Optimization to Improve Properties of Ferroelectric Tunnel Junction Synaptic Devices for Neuromorphic Computing System Applications [PDF]
Nanomaterials, 2023 The continuous advancement of Artificial Intelligence (AI) technology depends on the efficient processing of unstructured data, encompassing text, speech, and video.
Jisu Byun +10 more
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Synaptic Plasticity and Memory Retention in ZnO-CNT Nanocomposite Optoelectronic Synaptic Devices. [PDF]
Materials (Basel)This study presents the fabrication and characterization of ZnO–CNT composite-based optoelectronic synaptic devices via a sol–gel process. By incorporating various concentrations of CNTs (0–2.0 wt%) into ZnO thin films, we investigated their effects on synaptic behaviors under ultraviolet (UV) stimulation.
Lee SH, Jeon D, Lee SN.
europepmc +3 more sources
Recent Progress in Synaptic Devices Based on 2D Materials [PDF]
Advanced Intelligent Systems, 2020 Diverse synaptic plasticity with a wide range of timescales in biological synapses plays an important role in memory, learning, and various signal processing with exceptionally low power consumption.
Linfeng Sun, Wei Wang, Heejun Yang
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Light-Intensity Switching of Graphene/WSe2 Synaptic Devices. [PDF]
Adv Sci (Weinh)Abstract2D van der Waals heterojunctions (vdWH) have emerged as an attractive platform for the realization of optoelectronic synaptic devices, which are critical for energy‐efficient computing systems. Photogating induced by charge traps at the interfaces indeed results in ultrahigh responsivity and tunable photoconductance.
Tang H, Anwar T, Jang MS, Tagliabue G.
europepmc +4 more sources
Memory and Synaptic Devices Based on Emerging 2D Ferroelectricity
Advanced Electronic Materials, 2023 Memory devices are an essential part of modern electronics. Efforts to move beyond the traditional “read” and “write” of digital information in volatile and non‐volatile memory devices are leading to the rapid growth of neuromorphic technology.
Yanggeun Joo +4 more
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