Results 1 to 10 of about 6,811 (257)

CMOS-compatible neuromorphic devices for neuromorphic perception and computing: a review

International Journal of Extreme Manufacturing, 2023
Neuromorphic computing is a brain-inspired computing paradigm that aims to construct efficient, low-power, and adaptive computing systems by emulating the information processing mechanisms of biological neural systems.
Yixin Zhu, Huiwu Mao, Ying Zhu, Xiangjing Wang, Chuanyu Fu, Shuo Ke, Changjin Wan, Qing Wan   +7 more
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Advances in Memristor-Based Neural Networks

Frontiers in Nanotechnology, 2021
The rapid development of artificial intelligence (AI), big data analytics, cloud computing, and Internet of Things applications expect the emerging memristor devices and their hardware systems to solve massive data calculation with low power consumption ...
Weilin Xu, Weilin Xu, Weilin Xu, Jingjuan Wang, Xiaobing Yan, Xiaobing Yan   +5 more
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Emerging photoelectric devices for neuromorphic vision applications: principles, developments, and outlooks

Science and Technology of Advanced Materials, 2023
The traditional von Neumann architecture is gradually failing to meet the urgent need for highly parallel computing, high-efficiency, and ultra-low power consumption for the current explosion of data.
Yi Zhang, Zhuohui Huang, Jie Jiang
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Nanowire-based synaptic devices for neuromorphic computing

Materials Futures, 2023
The traditional von Neumann structure computers cannot meet the demands of high-speed big data processing; therefore, neuromorphic computing has received a lot of interest in recent years.
Xue Chen, Bingkun Chen, Pengfei Zhao, Vellaisamy A L Roy, Su-Ting Han, Ye Zhou   +5 more
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Zn2SnO4-Based Optoelectronic Synaptic Device for Visual Perception and Applications

Research
Visual bionic systems are of crucial importance in the development of artificial intelligence for environmental perception. However, the traditional artificial vision system has problems such as complex system and high energy consumption due to the ...
Shan Xu, Zhiyuan Guan, Wenqi Yang, Zhenyu Zhou, Zixuan Zhang, Lulu Wang, Xiaoxu Li, Yuchen Li, Xiaobing Yan   +8 more
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High-endurable memristors based on ReSe2/BST:YSZ ferroelectric heterojunctions for optical encryption communication

Nano Research
Due to the increasing awareness of space security, encrypted space optic-communication has attracted significant attention. Consequently, ferroelectric memristors with efficient data processing capability and high operational stability become essential ...
Runyao Lin, Weidong Sun, Jinhai Chen, Jia Zhang, Kangbo Zhao, Zelei Jiao, Haoning Liu, Jiawei Zhang, Pan Liu, Hong Wang   +9 more
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Operating Principle and Device Configuration Driven Mechanisms in Low‐Dimensional Materials for Neuromorphics

Advanced Intelligent Systems, 2023
The alluring electronic, optoelectronic, and photonic properties of low‐dimensional materials have allowed brain‐inspired electronics to evolve in unprecedented ways.
Taimur Ahmed, Vaishnavi Krishnamurthi, Arnan Mitchell, Sumeet Walia   +3 more
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High‐Endurance STO:YSZ Optoelectronic Memristors with Vertically Aligned Nanocomposite Structure for Edge Detection

Advanced Science
Edge detection plays a critical role in cutting‐edge domains such as real‐time monitoring and automatic driving, with optoelectronic device‐based real‐time image processing garnering significant attention. However, the poor endurance and unstable optical
Jiacheng Wang, Jikang Xu, Xu Han, Weidong Sun, Fu Wang, Zhen Zhao, Kangbo Zhao, Yufei Shang, Biao Yang, Hong Wang, Haoning Liu, Xiaobing Yan   +11 more
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A Review of Graphene‐Based Memristive Neuromorphic Devices and Circuits

Advanced Intelligent Systems, 2023
As data processing volume increases, the limitations of traditional computers and the need for more efficient computing methods become evident. Neuromorphic computing mimics the brain's low‐power and high‐speed computations, making it crucial in the era ...
Ben Walters, Mohan V. Jacob, Amirali Amirsoleimani, Mostafa Rahimi Azghadi   +3 more
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Metal-Oxide Heterojunction: From Material Process to Neuromorphic Applications

Sensors, 2023
As technologies like the Internet, artificial intelligence, and big data evolve at a rapid pace, computer architecture is transitioning from compute-intensive to memory-intensive.
Yu Diao, Yaoxuan Zhang, Yanran Li, Jie Jiang   +3 more
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