Showing 201 - 220 results of 1,448 for search '"Memristor"', query time: 0.14s Refine Results
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    Reservoir computing using dynamic memristors for temporal information processing by Chao Du, Fuxi Cai, Mohammed A. Zidan, Wen Ma, Seung Hwan Lee, Wei D. Lu

    Published 2017-12-01
    “…Du et al. realise this concept using metal-oxide-based memristors with short-term memory to perform digit recognition tasks and solve non-linear problems.…”
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    Seamlessly fused digital-analogue reconfigurable computing using memristors by Alexantrou Serb, Ali Khiat, Themistoklis Prodromakis

    Published 2018-06-01
    “…This work introduces a new design paradigm where the analogue and digital worlds are seamlessly fused via memristors, enabling electronics with reconfigurability.…”
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    Asymmetrical passive intermodulation distortions of memristors with mathematical behavior models by Yongle Wu, Qiuyan Jin, Weimin Wang, Yuanan Liu

    Published 2016-10-01
    “…A rigorous mathematical explanation and accurate numerical prediction for asymmetrical passive intermodulation (PIM) distortions of memristors are investigated in this article. This theoretical explanation is based on behavior models of memristors representing the interrelation between terminated voltages and currents. …”
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    Tuning the resistive switching in tantalum oxide-based memristors by annealing by Yang Li, Y. Eren Suyolcu, Simone Sanna, Dennis Valbjørn Christensen, Marie Lund Traulsen, Eugen Stamate, Christian Søndergaard Pedersen, Peter A. van Aken, Juan Maria García Lastra, Vincenzo Esposito, Nini Pryds

    Published 2020-06-01
    “…Here, we investigate the possibility to tune the resistive switching of tantalum oxide (TaOx)-based memristors from a non-switchable state to a switchable state by applying post-fabrication annealing of the devices. …”
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    Simple modelling of S‐type NbOx locally active memristor by Yan Liang, Guangyi Wang, Chenyang Xia, Zhenzhou Lu

    Published 2021-08-01
    “…Abstract Nanoscale S‐type NbOx locally active memristors (LAMs) open up new opportunities in the brain‐inspired neuromorphic computing. …”
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