Electronegative metal dopants improve switching variability in <mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML"><mml:mrow><mml:msub><mml:mi>Al</mml:mi><mml:mn>2</mml:mn></mml:msub><mml:msub><mml:mi mathvariant="normal">O</mml:mi><mml:mn>3</mml:mn></mml:msub></mml:mrow></mml:math> resistive switching devices
نویسندگان
چکیده
Resistive switching random access memories (RRAMs) promise to overcome the limitation of time- and energy-consumption set by increased training demand in deep neural network. These devices enable colocation memory processing storing utilizing information form conductive networks, such as those made oxygen vacancies. However, inherent stochastic nature atomic motion results poor reliability high variability these devices, hindering their widespread use. In this paper, authors propose a method substantially reduce RRAM doping oxide electrolyte with electronegative metals. They find that metals vacancy formation energy, thereby pinning filament along fixed, predictable paths. This improved enables multibit can facilitate integration into large-scale hardware networks.
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ژورنال
عنوان ژورنال: Physical Review Materials
سال: 2022
ISSN: ['2476-0455', '2475-9953']
DOI: https://doi.org/10.1103/physrevmaterials.6.105002