Results 31 to 40 of about 2,424,657 (202)

Advanced neuromorphic engineering approaches for restoring neural activity after brain injury: innovations in regenerative medicine

Regenerative Medicine Reports
Restoring neural function after brain injury is a critical medical challenge, as conventional treatments often fail to achieve full recovery. This makes the development of innovative regenerative medicine and biomedical engineering strategies ...
A. Pisarchik, S. A. Gerasimova, Albina V. Lebedeva, T. A. Levanova, A. E. Malkov, A. N. Mikhaylov, Lev A. Smirnov   +6 more
semanticscholar   +1 more source

Neuromorphic Devices for Bionic Sensing and Perception

Frontiers in Neuroscience, 2021
Neuromorphic devices that can emulate the bionic sensory and perceptual functions of neural systems have great applications in personal healthcare monitoring, neuro-prosthetics, and human–machine interfaces.
Mingyue Zeng, Yongli He, Chenxi Zhang, Qing Wan   +3 more
doaj   +1 more source

Preparation and transport property of nano-Li₄Ti₅O₁₂ anode materials

Cailiao gongcheng, 2021
Li4Ti5O12 (LTO) anode materials are successfully prepared by sol-gel method using butyl phthalate and lithium acetate as precursors.The phase and morphology of the material were characterized by X-ray diffraction,scanning electron microscopy and ...
LIAN Tian-rou, LU Yu-xiao, WU Bing, SHI Guang-yue, MA Lei, LIU Lei, LOU Jian-zhong   +6 more
doaj   +1 more source

Emerging memristive neurons for neuromorphic computing and sensing

Science and Technology of Advanced Materials, 2023
Inspired by the principles of the biological nervous system, neuromorphic engineering has brought a promising alternative approach to intelligence computing with high energy efficiency and low consumption.
Zhiyuan Li, Wei Tang, Beining Zhang, Rui Yang, Xiangshui Miao   +4 more
doaj   +1 more source

High-Entropy Oxide Memristors for Neuromorphic Computing: From Material Engineering to Functional Integration

Nano-Micro Letters
Comprehensive overview of high-entropy oxides (HEOs) in memristive devices, emphasizing their potential in neuromorphic computing and their ability to simulate synaptic plasticity and multilevel conductance modulation.
Jialin Yang, Xin-Gui Tang, X. Gu, Qi‐Jun Sun, Zhen-hua Tang, Wenhua Li, Yan-Ping Jiang   +6 more
semanticscholar   +1 more source

Low‐Power Computing with Neuromorphic Engineering

Advanced Intelligent Systems, 2020
The increasing power consumption in the existing computation architecture presents grand challenges for the performance and reliability of very‐large‐scale integrated circuits. Inspired by the characteristics of the human brain for processing complicated
Dingbang Liu, Hao Yu, Y. Chai
semanticscholar   +1 more source

Van der Waals Engineering of One-Transistor-One-Ferroelectric-Memristor Architecture for an Energy-Efficient Neuromorphic Array

Nano letters (Print)
Two-dimensional-material-based memristor arrays hold promise for data-centric applications such as artificial intelligence and big data. However, accessing individual memristor cells and effectively controlling sneak current paths remain challenging ...
Yinchang Ma, Maolin Chen, Fernando Aguirre, Yuan Yan, S. Pazos, Chen Liu, Heng Wang, Tao Yang, Baoyu Wang, Cheng Gong, Kai Liu, J. Z. Liu, Mario Lanza, Fei Xue, Xi-xiang Zhang   +14 more
semanticscholar   +1 more source

Intermediate Resistive State in Wafer‐Scale Vertical MoS2 Memristors Through Lateral Silver Filament Growth for Artificial Synapse Applications

Advanced Functional Materials, EarlyView.
In MOCVD MoS2 memristors, a current compliance‐regulated Ag filament mechanism is revealed. The filament ruptures spontaneously during volatile switching, while subsequent growth proceeds vertically through the MoS2 layers and then laterally along the van der Waals gaps during nonvolatile switching.
Yuan Fa, Milan Buttberg, Ke Ran, Rana Walied Ahmad, Dennis Braun, Lukas Völkel, Jimin Lee, Sofía Cruces, Bart Macco, Bárbara Canto, Holger Lerch, Thorsten Wahlbrink, Holger Kalisch, Michael Heuken, Andrei Vescan, Joachim Mayer, Zhenxing Wang, Ilia Valov, Stephan Menzel, Max C. Lemme   +19 more
wiley   +1 more source

Demonstration of an energy-efficient Ising solver composed of Ovonic threshold switch (OTS)-based nano-oscillators (OTSNOs)

Nano Convergence
As there is an increasing need for an efficient solver of combinatorial optimization problems, much interest is paid to the Ising machine, which is a novel physics-driven computing system composed of coupled oscillators mimicking the dynamics of the ...
Young Woong Lee, Seon Jeong Kim, Jaewook Kim, Sangheon Kim, Jongkil Park, YeonJoo Jeong, Gyu Weon Hwang, Seongsik Park, Bae Ho Park, Suyoun Lee   +9 more
doaj   +1 more source

Advancing civil engineering: The transformative impact of neuromorphic computing on infrastructure resilience and sustainability

Results in Engineering
The resilience and adaptability of civil infrastructure are paramount for societal well-being and economic stability. This paper examines the transformative impact of neuromorphic computing on enhancing the resilience of infrastructure systems and ...
Ali Akbar Firoozi, Ali Asghar Firoozi, Yasser Alashker, Safeer Ahmad   +3 more
doaj   +1 more source