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In this paper, we present extensive characterization of low-frequency noise in advanced silicon germanium heterojunction bipolar transistors. We demonstrate the extraction methodology of base and collector noise spectral densities for a wide range of transistor geometries. In addition to 1/ $f$ noise, generation–recombination (G–R) mechanisms are observed at low bias in the base current noise. Their existence is confirmed by Random Telegraph Signal (RTS) noise measurements. 1/ $f$ and G–R components are extracted from the base current noise spectra and their bias dependencies are studied. Finally, base current noise spectral densities measured at the same base current density in different geometries are compared to study the individual contribution of 1/ $f$ noise from the periphery as well as the intrinsic device. Part II of this paper will discuss the modeling aspects and noise correlation. [ABSTRACT FROM AUTHOR]

In this paper, we report about the derivation of a physics-based compact model of random telegraph noise (RTN) in HfO2-based resistive random access memory (RRAM) devices. Starting from the physics of charge transport, which is different in the high resistive states and low resistive states, we explore the mechanisms responsible for RTN exploiting a hybrid approach, based on self-consistent physics simulations and geometrical simplifications. Then, we develop a simple yet effective physics-based compact model of RTN valid in both states, which can be steadily integrated in state-of-the-art RRAM compact models. The RTN compact model predictions are validated by comparison with both a large experimental data set obtained by measuring RRAM devices in different conditions, and data reported in the literature. In addition, we show how the model enables advanced circuit simulations by exploring three different circuits for memory, security, and logic applications. [ABSTRACT FROM AUTHOR]

In this paper, we propose and demonstrate a novel technique for true random number generation using commercial off-the-shelf Flashmemory. Flashmemory cells are known to exhibit thermal noise and random telegraph noise during sensing of their threshold voltage. In order to extract this inherent noise properties of the Flash memory bits through a standard digital Flash memory interface, we utilize the program disturb and read noise characteristics, which are fundamental properties of all NAND Flash memory arrays. The proposed technique is experimentally demonstrated and evaluated using state-of-art Flash memory chips. The experimental evaluation shows that the proposed technique enables extraction of high quality, high throughput, controllable (or tunable), and temperature- and aging-tolerant random bits. The random bits generated by the proposed technique pass all tests in the National Institute of Standards and Technology statistical test suite. The advantages of the proposed technique are as follows: 1) it is cost-effective as it does not require any special circuitry or hardware modification; 2) it is tolerant to aging and temperature effects; 3) it is easy to implement in software and to deploy through software updates; and 4) it is widely applicable to all electronic devices utilizing modern NAND Flash memory chips. [ABSTRACT FROM AUTHOR]

Negative bias temperature instability (NBTI)-generated defects (GDs) have been widely observed and known to play an important role in device’s lifetime. However, its characterization and modeling in nanoscaled devices is a challenge due to their stochastic nature. The objective of this paper is to develop a fast and accurate technique for characterizing the statistical properties of NBTI aging, which can be completed in one day and thus reduce test time significantly. The fast speed comes from replacing the conventional constant voltage stress by the voltage step stress (VSS), while the accuracy comes from capturing the GDs without recovery. The key advances are twofold: first, we demonstrate that this VSS-GD technique is applicable for nanoscaled devices; second, we verify the accuracy of the statistical model based on the parameters extracted from this technique against independently measured data. The proposed method provides an effective solution for GD evaluation, as required when qualifying a CMOS process. [ABSTRACT FROM PUBLISHER]

Resistive-switching random access memory (RRAM) is widely considered as a disruptive technology. Despite tremendous efforts in theoretical modeling and physical analysis, details of how the conductive filament (CF) in metal-oxide-based filamentary RRAM devices is modified during normal device operations remain speculative, because direct experimental evidence at defect level has been missing. In this paper, a random-telegraph-signal-based defect-tracking technique (RDT) is developed for probing the location and movements of individual defects and their statistical spatial and energy characteristics in the CF of state-of-the-art hafnium-oxide RRAM devices. For the first time, the critical filament region of the CF is experimentally identified, which is located near, but not at, the bottom electrode with a length of nanometer scale. We demonstrate with the RDT technique that the modification of this key constriction region by defect movements can be observed and correlated with switching operation conditions, providing insight into the resistive switching mechanism. [ABSTRACT FROM PUBLISHER]

As one of the important sources of low-frequency noise, random telegraph noise (RTN) in tunnel FET (TFET) has attracted growing attention recently. However, there is still lack of explanation for the high-amplitude RTN, which may cause serious variability and reliability problems to TFET-based ultralow-power circuits. In this paper, we experimentally investigate the RTN amplitude characteristics in TFETs, revealing the mechanism of high-amplitude RTN. It is found that the nonuniform distribution of band-to-band tunneling (BTBT) generation rate along device width direction is responsible for the high-amplitude RTN. Locations with relatively higher BTBT generation rate may act as critical paths dominating the device current. “Lucky” trap located at a critical path can induce the high-amplitude RTN. With device width shrinking, the number of critical paths may be reduced, resulting in much higher maximum RTN amplitude. In addition, the impacts of process parameters on RTN amplitude are discussed. Both higher source doping concentration ( \textN\text {S}) and higher thermal budget can effectively mitigate the nonuniformity of BTBT generation rate along device width direction, causing suppressed RTN amplitudes. Considering that the higher thermal budget may lead to degraded device performance, the annealing process should compromisingly be designed in terms of both variation and device performance. [ABSTRACT FROM PUBLISHER]

In this paper, we develop a compact physics-based statistical model for random telegraph noise-related low-frequency noise in bulk MOSFETS with laterally uniform doping. The proposed model is suited for modern compact device models, such as PSP, BSIM, and EKV. With our proposed model, one can calculate the expected value and the variability of the noise as a function of bias and device parameters. We validate the model through numerous experimental results from different CMOS nodes, down to 40 nm. [ABSTRACT FROM PUBLISHER]

In this paper, we develop a statistical model for random telegraph noise (RTN) related low-frequency noise (LFN). With our proposed model, one can calculate the expected value and the variability of the noise as a function of bias and device parameters. We clarify why the variability of RTN/LFN does not follow a 1/ $\surd $ area dependence. The model explains the effect of the halo implanted regions on the LFN statistics and the large variability of long channel devices found under certain bias conditions, which can be as large as that of short channel devices. We show that the LFN of n-channel and p-channel MOSFETs can be described by the same mechanism. From our results, we derive that the trap density of the p-channel device is a strongly varying function of the Fermi level, whereas for the n-channel the trap density can be considered constant. We validate the model through numerous experimental results from different CMOS nodes, down to 40 nm. We also demonstrate that the noise, and its variability, found in our measurements can be modeled using reasonable physical quantities. [ABSTRACT FROM AUTHOR]

Resistive-switching memory (RRAM) is attracting a widespread interest for its outstanding properties, such as low power, high speed, and good endurance. A crucial concern for RRAM is the current fluctuation, which induces significant broadening of resistance levels in single-bit and multilevel applications. This paper addresses low-frequency fluctuations focusing on $1/f$ and random telegraph noise contributions in intrinsic, i.e., typical, cells. The current fluctuations are studied in both the time and frequency domains, and the analytical models are presented to predict the resistance broadening for different RRAM states. Finally, the resistance dependence of noise and broadening is studied with the support of a 3-D finite-element model. [ABSTRACT FROM AUTHOR]

Noise in resistive switching memory (RRAM) is among the main concerns due to its impact on the reliability of single-bit and multilevel cell devices. Although noise in typical RRAM cells is understood fairly well, the statistics of noise and the presence and impact of statistical tails in the current fluctuation is what mostly affects the RRAM reliability at the array level. This paper addresses current noise in RRAM arrays, focusing on high-resistance state distribution and its broadening with time. We highlight two main contributions to the tail behavior, namely, random walk (RW) and random telegraph noise (RTN) with random start and stop. We provide evidence for a time decay of RW amplitude with time, which we explain by time-dependent stabilization of defects. We finally develop a statistical Monte Carlo model for noise, which is capable of explaining the broadening of the resistance distribution based on a physical description of RW and RTN components. [ABSTRACT FROM AUTHOR]

In this paper, we report the observation of random telegraph noise (RTN) in highly scaled InGaAs gate-all-around (GAA) MOSFETs fabricated by a top-down approach. RTN and low-frequency noise were systematically studied for devices with various gate dielectrics, channel lengths, and nanowire diameters. Mobility fluctuation is identified to be the source of 1/f noise. The 1/f noise was found to decrease as the channel length scaled down from 80 to 20 nm comparing with classical theory, indicating the near-ballistic transport in highly scaled InGaAs GAA MOSFET. Low-frequency noise in ballistic transistors is discussed theoretically. [ABSTRACT FROM AUTHOR]

In this paper, we investigate the random telegraph noise (RTN) in hafnium-oxide resistive random access memories in high resistive state (HRS). The current fluctuations are analyzed by decomposing the multilevel RTN signal into two-level RTN traces using a factorial hidden Markov model approach, which allows extracting the properties of the traps originating the RTN. The current fluctuations, statistically analyzed on devices with a different stack reset at different voltages, are attributed to the activation and deactivation of defects in the oxidized tip of the conductive filament, assisting the trap-assisted tunneling transport in HRS. The physical mechanisms responsible for the defect activation are discussed. We find that RTN current fluctuations can be due to either the coulomb interaction between oxygen vacancies (normally assisting the charge transport) and the electron charge trapped at interstitial oxygen defects, or the metastable defect configuration of oxygen vacancies assisting the electron transport in HRS. A consistent microscopic description of the phenomenon is proposed, linking the material properties to the device performance. [ABSTRACT FROM AUTHOR]

Random telegraph noise (RTN) is one of the important dynamic variation sources in ultrascaled MOSFETs. In this paper, the recently focused ac trap effects of RTN in digital circuits and their impacts on circuit performance are systematically investigated. Instead of trap occupancy probability under dc bias condition ( pdc ), which is traditionally used for RTN characterization, ac trap occupancy probability ( pac ), i.e., the effective percentage of time trap being occupied under ac bias condition, is proposed and evaluated analytically to investigate the dynamic trapping/detrapping behavior of RTN. A simulation approach that fully integrates the dynamic properties of ac trap effects is presented for accurate simulation of RTN in digital circuits. The impacts of RTN on digital circuit performances, e.g., failure probabilities of SRAM cells and jitters of ring oscillators, are then evaluated by the simulations and verified against predictions based on pac . The results show that degradations are highly workload dependent and that pac is critical in accurately evaluating the RTN-induced performance degradation and variability. The results are helpful for robust and resilient circuit design. [ABSTRACT FROM AUTHOR]

Relentless performance and density scaling of modern CMOS devices has come at the expense of circuit stability and variability. In this paper, we specifically reveal how switching traps can cause intolerable V \(_{\rm TH}\) shifts and fluctuations, which are even visible during the I \(_{D}\) –V \(_{G}\) tracing in nanometer-scaled devices. Exploiting this feature, we have developed a methodology for random telegraph noise assessment capable of determining the capture and emission times \(\tau _{c}\) and \(\tau _{e}\) , and their impact on V \(_{\rm TH}\) as a function of gate voltage V \(_{G}\) and temperature T. This information is crucial for developing circuit simulators that assess the impact of single traps in the full V \(_{G}\) swing and operational temperatures. [ABSTRACT FROM PUBLISHER]

A key concern for resistive-switching random access memory (RRAM) is the read noise, due to the structural, chemical, and electrical modifications taking place at the localized current path, or conductive filament (CF). Read noise typically appears as a random telegraph noise (RTN), where the current randomly fluctuates between ON and OFF levels. This paper addresses RTN in RRAM, providing physical interpretations and models for the dependence on the programming and read conditions. First, we explain the RTN dependence on the compliance current during set transition in terms of the size-dependent depletion of carriers within the CF. Then, we discuss the bias dependence of the RTN switching times and amplitude, which can be explained by Joule heating and Poole-Frenkel barrier modifications arising from the electrostatics of the RTN fluctuating center. [ABSTRACT FROM AUTHOR]