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Jaesub Song,Seokho Moon,Jinho Byun et al. Jaesub Song et al.
However, conventional h-BN memristors suffer from abrupt switching behavior by uncontrollable filament formation, limiting their potential for ANN applications....Here, h-BN-based memristors exhibiting linear and symmetric analog switching by leveraging multiple nano-filament confinement is presented....ANNs implemented with these nano-filaments confined to h-BN memristors exhibit highly linear and symmetric synaptic weight updates, enabling precise training with minimal accuracy degradation.
Ya-Fei Jiang,Huai-Yu Peng,Yu Cai et al. Ya-Fei Jiang et al.
Two-terminal ferroelectric memristors are fabricated on a thickness-gradient BTO film with thickness ranging from 1 to 30 unit cells (UC), and intrinsic ferroelectricity is revealed in regions with thickness >5 UC.
Longhui Fu,Huangtao Chen,Bai Sun et al. Longhui Fu et al.
Brain tumors often lead to compression or hemorrhage that can seriously threaten patients' life. However, the rapid detection of brain tumor types has always been a bottleneck technology in the field of neuroscience research. Herein, it is ...
Xiao-Fang Luo,Xiao-Bin Guo,Dan Zhang et al. Xiao-Fang Luo et al.
Two-dimensional (2D) materials and their van der Waals heterostructures (vdWHs) have shown tremendous potential in the fields of memristors and neuromorphic computing due to their unique band structures and tunable physical properties....On this basis, it delves into the switching mechanisms of memristors based on vdWHs, including the conductive filament model, charge trapping and release, and interfacial barrier modulation....Furthermore, the review focuses on the applications of vdWH memristors in neuromorphic synapses, such as optoelectronic synapses, artificial vision, ferroelectric effect regulation, logical circuit design, and reservoir computing....Finally, the review summarizes the current research challenges and future development directions, offering theoretical guidance and technical prospects for memristors based on 2D vdWHs and their applications in neuromorphic computing.
JiYu Zhao,Kun Liu,Wei Zeng et al. JiYu Zhao et al.
Threshold-switching memristors exhibit significant potential for developing artificial nociceptors as their working principles and electrical characteristics closely mimic biological nociceptors.
Yu Cui,Yanmin Ma,Bai Sun et al. Yu Cui et al.
This research work demonstrates the efficacy of memristors in monitoring abnormal oocytes and embryonic outcomes, thereby laying a scientific foundation for the application of memristors in health monitoring and disease diagnosis.
Hongyan Zang,Haiyan Fu,Lili Huang et al. Hongyan Zang et al.
This approach offers an alternative method for the design of chaotic maps and underscores the efficacy of discrete memristors in the enhancement of chaotic behaviors. © 2025 Author(s).
Zhonglei Liu,Jinming Cao,Qiaoling Wang et al. Zhonglei Liu et al.
Multilevel memristors based on perovskite are promising candidates for high-density storage, and controllable vortex topologies have significant application potential in biomimetic synapses.
Chenyu Zhuge,Jiandong Jiang,Liang Chen et al. Chenyu Zhuge et al.
However, the randomness of the filaments of state-of-the-art filamentary memristors leads to high variability and poor reliability. Herein, a semimetal bismuth (Bi)-based memristor with oxygen vacancy (VO)-Bi filaments was proposed.
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