2021
DOI: 10.1109/ted.2021.3095033
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Switching Dynamics of Ag-Based Filamentary Volatile Resistive Switching Devices—Part II: Mechanism and Modeling

Abstract: Understanding the switching mechanism of the volatile resistive switching random access memory (RRAM) device is important to harness its characteristics and further enhance its performance. Accurate modeling of its dynamic behavior is also of deep value for its applications both as selector and as short-term memory synapse for future neuromorphic applications operating in temporal domain. In this work, we investigate the switching and retention (relaxation) processes of the Ag-based metallic filamentary volati… Show more

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Cited by 36 publications
(27 citation statements)
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“…In the experiments, the filament's strength was modified qualitatively by varying the programming current through a transistor. [50,51] On the other hand, the dependence of t set on the external bias has been shown in multiple publications and, yet, lack to make connections with the t r . [52][53][54] For a wide utilization of v-ECM devices in the emerging field of neuromorphic computation [55][56][57][58] understanding and control of the switching kinetics is of utmost importance.…”
Section: Introductionmentioning
confidence: 99%
“…In the experiments, the filament's strength was modified qualitatively by varying the programming current through a transistor. [50,51] On the other hand, the dependence of t set on the external bias has been shown in multiple publications and, yet, lack to make connections with the t r . [52][53][54] For a wide utilization of v-ECM devices in the emerging field of neuromorphic computation [55][56][57][58] understanding and control of the switching kinetics is of utmost importance.…”
Section: Introductionmentioning
confidence: 99%
“…The latter approach also results in a very high on/off ratio of 10 7 [39], which is uncommon for ferroelectric devices. The exploitation of the migration of silver ions is also an element of novelty for ferroelectric devices, whereas it was already reported in some filamentary oxide-based resistive switching devices [45,46] used, as an example, for a retina-inspired artificial vision system [47].…”
Section: Ftj Devices For Neuromorphic Computingmentioning
confidence: 99%
“…Similar to CBRAM devices, t ret shows a relatively wide dispersion, as also indicated by the cumulative distributions in Figure 4c. [ 39 ] The median time of the retention time is about 0.1 s with a weak dependence on I C where a higher I C results in slightly longer retention. This type of behavior was previously observed in CBRAM devices and can be explained by the dependence of diffusion rate on the surface curvature.…”
Section: Device Characteristicsmentioning
confidence: 99%