Results 221 to 230 of about 6,811 (257)

Organic Memristive Devices and Neuromorphic Circuits

2014
Bio-inspired computational systems must be based on elements, involved, similarly to the brain, in both memorizing and processing of the information. This paper is dedicated to organic memristive devices—elements that were designed and constructed for mimicking the most important properties of synapses, responsible for Hebbian type of learning. We will
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Photon-Memristive Device for Neuromorphic Computing

2022 IEEE International Conference on Integrated Circuits, Technologies and Applications (ICTA), 2022
Yuqing Fang, Qingxuan Li, Tianyu Wang, Jialin Meng, QingQing Sun 0001, David Wei Zhang, Lin Chen   +6 more
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Hardware Trojans in eNVM Neuromorphic Devices

2023 Design, Automation & Test in Europe Conference & Exhibition (DATE), 2023
Lingxi Wu, Rahul Sreekumar, Rasool Sharifi, Kevin Skadron, Mircea R. Stan, Ashish Venkat   +5 more
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Natural biomaterials for sustainable flexible neuromorphic devices

Biomaterials
Neuromorphic electronics use neural models in hardware to emulate brain-like behavior, and provide power-efficient, extremely compact, and massively-parallel processing, so they are ideal candidates for next-generation information-processing units.
Yanfei Zhao, Seungbeom Lee, Tingyu Long, Hea-Lim Park, Tae-Woo Lee   +4 more
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Advanced Optoelectronic Devices for Neuromorphic Analog Based on Low‐Dimensional Semiconductors

Advanced Functional Materials, 2023
Duanyang Liu, Juehan Yang, Zhongming Wei   +2 more
exaly  

Bioinspired interactive neuromorphic devices

Materials Today, 2022
Jinran Yu, Shanshan Qin, Guoyun Gao
exaly  

Hafnia-based neuromorphic devices

Applied Physics Letters
The excellent complementary metal-oxide-semiconductor compatibility and rich physicochemical properties of hafnia-based materials, in particular the unique ferroelectricity that surpasses of conventional ferroelectrics, make hafnia-based devices promising candidates for industrial applications.
Hai Zhong, Kuijuan Jin, Chen Ge
openaire   +1 more source

Reconfigurable Neuromorphic Computing: Materials, Devices, and Integration

Advanced Materials, 2023
Minyi Xu, Xinchuan Du, Yi Cui
exaly  

2D Material Based Synaptic Devices for Neuromorphic Computing

Advanced Functional Materials, 2021
Guiming Cao, Peng Meng, Jiangang Chen
exaly  

Flexible Artificial Sensory Systems Based on Neuromorphic Devices

ACS Nano, 2021
Fuqin Sun, Qifeng Lu, Simin Feng
exaly