Literature DB >> 28718452

Role of Al doping in the filament disruption in HfO2 resistance switches.

Stefano Brivio, Jacopo Frascaroli, Sabina Spiga.   

Abstract

Resistance switching devices, whose operation is driven by formation (SET) and dissolution (RESET) of conductive paths shorting and disconnecting the two metal electrodes, have recently received great attention and a deep general comprehension of their operation has been achieved. However, the link between switching characteristics and material properties is still quite weak. In particular, doping of the switching oxide layer has often been investigated only for looking at performance upgrade and rarely for a meticulous investigation of the switching mechanism. In this paper, the impact of Al doping of HfO2 devices on their switching operations, retention loss mechanisms and random telegraph noise traces is investigated. In addition, phenomenological modeling of the switching operation is performed for device employing both undoped and doped HfO2. We demonstrate that Al doping influences the filament disruption process during the RESET operation and, in particular, it contributes in preventing an efficient restoration of the oxide with respect to undoped devices.

Entities:  

Year:  2017        PMID: 28718452     DOI: 10.1088/1361-6528/aa8013

Source DB:  PubMed          Journal:  Nanotechnology        ISSN: 0957-4484            Impact factor:   3.874


  5 in total

1.  An Organic Flexible Artificial Bio-Synapses with Long-Term Plasticity for Neuromorphic Computing.

Authors:  Tian-Yu Wang; Zhen-Yu He; Lin Chen; Hao Zhu; Qing-Qing Sun; Shi-Jin Ding; Peng Zhou; David Wei Zhang
Journal:  Micromachines (Basel)       Date:  2018-05-15       Impact factor: 2.891

2.  Stimulated Ionic Telegraph Noise in Filamentary Memristive Devices.

Authors:  Stefano Brivio; Jacopo Frascaroli; Erika Covi; Sabina Spiga
Journal:  Sci Rep       Date:  2019-04-16       Impact factor: 4.379

3.  Non-linear Memristive Synaptic Dynamics for Efficient Unsupervised Learning in Spiking Neural Networks.

Authors:  Stefano Brivio; Denys R B Ly; Elisa Vianello; Sabina Spiga
Journal:  Front Neurosci       Date:  2021-02-01       Impact factor: 4.677

4.  Structure and Electrical Behavior of Hafnium-Praseodymium Oxide Thin Films Grown by Atomic Layer Deposition.

Authors:  Kaupo Kukli; Lauri Aarik; Guillermo Vinuesa; Salvador Dueñas; Helena Castán; Héctor García; Aarne Kasikov; Peeter Ritslaid; Helle-Mai Piirsoo; Jaan Aarik
Journal:  Materials (Basel)       Date:  2022-01-24       Impact factor: 3.623

5.  Evidence of soft bound behaviour in analogue memristive devices for neuromorphic computing.

Authors:  Jacopo Frascaroli; Stefano Brivio; Erika Covi; Sabina Spiga
Journal:  Sci Rep       Date:  2018-05-08       Impact factor: 4.379

  5 in total

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