材料科学
电阻随机存取存储器
神经形态工程学
量化(信号处理)
热传导
光电子学
介观物理学
记忆电阻器
纳米技术
电压
电子工程
电气工程
计算机科学
凝聚态物理
物理
复合材料
工程类
机器学习
人工神经网络
计算机视觉
作者
Stefan Petzold,Eszter Piros,Robert Eilhardt,Alexander Zintler,Tobias Vogel,Nico Kaiser,Aldin Radetinac,Philipp Komissinskiy,E. Jalaguier,Emmanuel Nolot,Christelle Charpin‐Nicolle,Christian Wenger,Leopoldo Molina‐Luna,E. Miranda,Lambert Alff
标识
DOI:10.1002/aelm.202000439
摘要
Abstract This work investigates the transition from digital to gradual or analog resistive switching in yttrium oxide‐based resistive random‐access memory devices. It is shown that this transition is determined by the amount of oxygen in the functional layer. A homogeneous reduction of the oxygen content not only reduces the electroforming voltage, allowing for forming‐free devices, but also decreases the voltage operation window of switching, thereby reducing intra‐device variability. The most important effect as the dielectric becomes substoichiometric by oxygen engineering is that more intermediate (quantized) conduction states are accessible. A key factor for this reproducibly controllable behavior is the reduced local heat dissipation in the filament region due to the increased thermal conductivity of the oxygen depleted layer. The improved accessibility of quantized resistance states results in a semi‐gradual switching both for the set and reset processes, as strongly desired for multi‐bit storage and for an accurate definition of the synaptic weights in neuromorphic systems. A theoretical model based on the physics of mesoscopic structures describing current transport through a nano‐constriction including asymmetric potential drops at the electrodes and non‐linear conductance quantization is provided. The results contribute to a deeper understanding on how to tailor materials properties for novel memristive functionalities.
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