Classification of Three-Level Random Telegraph Noise and Its Application in Accurate Extraction of Trap Profiles in Oxide-Based Resistive Switching Memory

Gong, Tiancheng; Luo, Qing; Xu, Xiaoxin; Yu, Jie; Dong, Danian; Lv, Hangbing; Yuan, Peng; Chen, Dong Feng; Yin, Jigang; Tai, Lu; Zhu, Xi; Liu, Qi; Long, Shibing; Liu, Ming

doi:10.1109/led.2018.2858245

Cited by 10 publications

(7 citation statements)

References 15 publications

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“…The third state results in negative bursts when the degradation rate is larger than the weak transcriptional rate, while the fourth state results in a quiescent state of apparent inactivity when both transcription and degradation rates are sufficiently small. Therefore, in order to account for the negative-burst finding, we are left with three discernible states, forming a model similar to the three-state random telegraph noise (RTN) model (Gong et al, 2018) (Figures 5a, S5).…”

Section: Resultsmentioning

confidence: 99%

Formation of synthetic RNA protein granules using engineered phage-coat-protein -RNA complexes

Granik

Katz

Goldberg

et al. 2019

Preprint

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AbstractObservations of liquid-liquid phase-separated compartments within living cells have generated important insights on intracellular processes in recent years. Here, we use PP7-coat protein and Qβ-coat protein together with multi-binding-site RNA scaffolds to generate synthetic phase-separated biocondensates within E. coli cells. Real-time tracking of entry and shedding of RNA-protein complexes into and out of the biocondensates reveals that the cytosol is divided into a dense liquid phase in the nucleoid-dominated region, and a dilute liquid phase in the polar regions. We provide evidence for this assertion using stationary phase cells, where emergence of non-polar biocondensate formation is consistent with a reduction in size of the dense-nucleoid phase. The bi-phasic hypothesis for the E.coli cytosol has implications for various transcriptional and translational processes, and could provide an alternative explanation for the Super-Poisson dynamics attributed to transcriptional bursts.One Sentence SummaryUsing synthetic liquid-liquid phase-separated biocondensates, we show that the E.coli’s cytosol is likely composed of a dense and dilute liquid phases.

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Section: Resultsmentioning

confidence: 99%

Formation of synthetic RNA protein granules using engineered phage-coat-protein -RNA complexes

Granik

Katz

Goldberg

et al. 2019

Preprint

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“…The described behavior is exemplified by a measurement presented in [8] for a TMOx-based resistive switching memory (TMOxRAM), shown in Fig. 5.…”

Section: Rsmentioning

confidence: 94%

“…In this work, the physical mechanisms of the trap coupling effect on RTN amplitudes are studied based on experimental results from the literature [7,8]. The goal is to propose a simple model for trap coupling in conduction paths.…”

Section: Coupling Trap Modelmentioning

confidence: 99%

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An Electric-Based Model for Coupling Traps Effect on Random Telegraph Noise

Becker

Alves²,

Moser³

et al. 2020

JICS

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In this work, we present a novel understanding about the anomalous Random Telegraph Noise (aRTN), asserting the existence of coupling effect among multiple traps regarding current amplitude deviation. Based on the examination in the literature of anomalous current fluctuation, we propose a model able to describe the equivalent filament resistance changes due to this process. Notwithstanding, the results obtained with our model fits with experimental current over time observations presented on literature. Given that RTN is still a concern for different technologies, such as MOSFETs, FinFets and ReRAMs, the model can be applied to understanding the dynamics of filament distribution and the trapping de-trapping activity.

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“…Gong et. al. extracted the trap locations and energy levels by analyzing timing constants from the three-level RTN signals [15], [16]. Moreover, Wang et.…”

Section: Introductionmentioning

confidence: 99%

Dual-Point Technique for Multi-Trap RTN Signal Extraction

Zhan

Wang

et al. 2020

IEEE Access

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Random telegraph noise (RTN), as one dominant variation source in the ultra-scaled devices, has been attracting much more attention, and its analysis is of great importance to understand the fundamental physical mechanisms. In this work, with the advanced dual-point method, we successfully separate the impacts of each trap in multi-traps correlated RTN, especially for complex anomalous RTN signals. A four-level transfer curve and VG-dependent RTN magnitude are extracted in a two-trap transistor from the sub-threshold region to the linear region. Furthermore, current degradations contributed from each trap of three-and four-level RTN signals are identified and distinguished. The proposed method can be utilized to evaluate multiple traps RTN and explore the underlying physics.

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Classification of Three-Level Random Telegraph Noise and Its Application in Accurate Extraction of Trap Profiles in Oxide-Based Resistive Switching Memory

Cited by 10 publications

References 15 publications

Formation of synthetic RNA protein granules using engineered phage-coat-protein -RNA complexes

Formation of synthetic RNA protein granules using engineered phage-coat-protein -RNA complexes

An Electric-Based Model for Coupling Traps Effect on Random Telegraph Noise

Dual-Point Technique for Multi-Trap RTN Signal Extraction

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