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Vertical, gigapascal-level mechanical stress (MS) is induced at different locations along the channel of 40-nm effective gate length planar CMOS field-effect transistor (FET) devices and electrical parameter variations are investigated. In both p-and n-channel devices, the threshold voltage, mobility, and ON-current are seen to change proportionally with the additional MS, while gate-induced drain-leakage current increases exponentially. A clear effect of the location of the applied force along the source–drain direction is observed on the transistor parameters. Simulations show that a mechanical load located closer to the FET source induces a stronger asymmetry between the source and drain stresses. This leads to asymmetric subband splitting/warping, which reduces the backscattering rate at the source, in line with theoretical predictions on the importance of the channel barrier near the source for current in quasi-ballistic transistors. [ABSTRACT FROM AUTHOR]

Using the framework developed in the first part of this work, we demonstrate the capabilities of the extended two-state nonradiative multi-phonon (NMP) model by reproducing leakage current characteristics of two selected technologies. First, we identify the temperature-activated leakage mechanism in SiC / SiO2 stacks using a tens of nanometer thick thermally grown oxide as trap-assisted tunneling (TAT) through defects. Interestingly, this effect can be reproduced with the same parameters in a SiC / SiO2 stack with deposited oxide. Our simulations demonstrate that these charge transition centers are distributed within only a few nanometers from the SiC / SiO2 interface. The low thermal activation of the leakage current is linked to the low relaxation energies of the involved traps compared with those typically involved in bias temperature instability (BTI) and Random Telegraph Noise (RTN). Second, a similar mechanism can explain TAT characteristics and transient charge trapping currents in Metal–Insulator–Metal (MIM) capacitors with a ZrO2 insulating layer. By comparison of our model parameters to theoretical density functional theory (DFT) calculations, we identify self-trapped electrons (polarons) as a likely cause for these effects, as they have the required low relaxation energies. [ABSTRACT FROM AUTHOR]

Due to the potential for technological application, there has been an explosion of interest in heavily polycrystalline ferroelectric nanofilms, such as those of doped hafnium oxide. However, the heavily polycrystalline nature of these materials invalidates conventional modeling approaches as the dynamics have been found to be: 1) nucleation-limited; 2) involve grains of ferroelectric material interspersed among grains of alternative, nonferroelectric material; and 3) the direct interaction between these grains is observed to be minimal. In this article, we consider seven separate compact or “0-D” models of such polycrystalline films. Four of these models are based on a Landau paradigm and two are based on a Monte Carlo (MC) paradigm. The seventh is the traditional Preisach model. Although all of these models have been used in the literature to model novel polycrystalline ferroelectric nanofilms, here we compare and contrast the accuracy and physical appropriateness of each model by comparing both their static and dynamic properties against experimental data. We then find that although all models except single-grain models are capable of reproducing the static properties, only the MC models replicate the long-time dynamical properties. Thus, it is demonstrated that not all models are equally valid for the accurate modeling of such films. [ABSTRACT FROM AUTHOR]

Sequential 3-D stacking of multiple CMOS device tiers in a single fabrication flow requires the development of reliable high- ${k}$ /metal gate (HKMG) stacks at a reduced thermal budget (<525 °C). The omission of the customary high-temperature gate-stack annealing results in excessive dielectric defect densities. We have recently demonstrated on MOS capacitors the insertion of “defect decoupling” layers–LaSiOx for nMOS and Al2O3 for pMOS–at the interface between SiO2 and HfO2 as a promising approach to engineer the high- ${k}$ band lineup and minimize charge trapping for improved bias-temperature-instability (BTI) reliability. In this article, we demonstrate this approach in planar transistors, which allows assessing the impact of defect decoupling on carrier mobility. First, a comparative study on the impact of LaSiOx and Al2O3 insertion is performed, highlighting the different strategies for improving positive BTI (PBTI) and negative BTI (NBTI) reliability. Second, a comprehensive investigation on the effects of LaSiOx and Al2O3 insertion is conducted with a focus on BTI reliability and channel carrier mobility: a lack of penalty (Al2O3) or even improved carrier mobility (LaSiOx) is reported for the dipole-inserted gate stacks. Furthermore, we explore the simplified dual gate-stack integration for CMOS flow. A severe PBTI reliability penalty is observed if an Al2O3 layer (for hole trap decoupling) is deposited in the nMOS gate-stack, even if on top of the beneficial LaSiOx (for electron trap decoupling). In contrast, the pMOS gate-stack is found to be more tolerant to the presence of a residual LaSiOx layer on top of the beneficial Al2O3 layer, suggesting a viable strategy for the simplified dual gate-stack integration. Finally, the reliability improvement is validated also on a FinFET test vehicle. [ABSTRACT FROM AUTHOR]

Charge trapping is arguably the most important detrimental mechanism distorting the ideal characteristics of MOS transistors, and nonradiative multiphonon (NMP) models have been demonstrated to provide a very accurate description. For the calculation of the NMP rates at room temperature or above, simple semiclassical approximations have been successfully used to describe this intricate mechanism. However, for the computation of charge transition rates at cryogenic temperatures, it is necessary to use the full quantum mechanical description based on Fermi’s golden rule. Since this is computationally expensive and often not feasible, we discuss an efficient method based on the Wentzel–Kramers–Brillouin (WKB) approximation in combination with the saddle point method and benchmark this approximation against the full model. We show that the approximation delivers excellent results and can, hence, be used to model charge trapping behavior at cryogenic temperatures. [ABSTRACT FROM AUTHOR]

We present time-zero characterization and an investigation on bias temperature instability (BTI) degradation between 4 and 300 K on large area high- ${k}$ CMOS devices. Our measurements show that negative BTI (NBTI) on pMOSFETs freezes out when approaching cryogenic temperatures, whereas there is still significant positive BTI (PBTI) degradation in nMOSFETs even at 4 K. To explain this behavior, we use an efficient implementation of the quantum mechanical nonradiative multiphonon charge trapping model presented in Part I and extract two separate trap bands in the SiO2 and HfO2 layer. We show that NBTI is dominated by defects in the SiO2 layer, whereas PBTI arises mainly from defects in the HfO2 layer, which are weakly recoverable and do not freeze out at low temperatures due to dominant nuclear tunneling at the defect site. [ABSTRACT FROM AUTHOR]

A comprehensive investigation on the hot-carrier-induced interface state generation and its impact on carrier mobility in nMOSFET is performed. I – V compact modeling and charge pumping (CP) characterization are used as independent ways to evaluate the interface state density as a function of hot-carrier-induced aging. From the two techniques, similar power-law time exponents of the interface state density kinetics are obtained. Assisted by the quasi-spectroscopic (temperature-resolved) CP measurement, the extracted interface state density is further correlated with the I – V modeling results: an universal mobility degradation normalization parameter Nit,ref = ~ 4.1 × 1011/cm2 is reported, irrespective of the effective oxide thickness (EOT), stress temperature, or the relative degradation of the device under test (DUT). Supported by the fundamental principles deployed in the derivation and the broad range of experimental conditions considered for its validation, the reported normalization parameter could serve as a modeling constant in the commonly used I – V compact models to correlate the mobility degradation with the interface state density induced by hot carrier stress. [ABSTRACT FROM AUTHOR]

We report measurements of multiple hot-carrier (HC) stress and high-temperature anneal cycles repeated on the same nFETs fabricated in a commercial 40-nm bulk CMOS technology. We model this cycled HC degradation anneal assuming Si–H bond breakage during stress and bond passivation during anneal, with the bond dissociation and passivation energies following a bivariate Gaussian distribution. Our model can describe multiple stress and anneal time scenarios well using a single parameter set and provides insights into the recovery behavior of HC-induced defects. We find no correlation between bond dissociation and passivation energies and observe that the repeated HC stress and anneal cycles suppress the low energies from the distribution of bond passivation energies, changing its shape from the Gaussian to a non-Gaussian form. [ABSTRACT FROM AUTHOR]

Low thermal budget junction-less transistors with back-gate are fabricated as top-tier devices for 3-D sequential integration. The impact of back-gate bias on carrier mobility and bias temperature instability (BTI) reliability is investigated. The back-gate bias is shown to modulate the carrier mobility: specifically, mobility is increased under forward back-gate bias (FBB), which is ascribed to the carrier redistribution from the front-gate interface toward back-gate interface. Regarding BTI reliability, if a back-gate bias (VBG) is applied only during ON-state and a constant front-gate stress VG is used, BTI reliability is not influenced by the applied VBG (due to its negligible impact on the front-gate oxide field, Eox). Therefore, supplying an FBB during ON-state can be used to adjust device performance—as VBG modulates the channel current through Vth and mobility—without reliability penalty. On the other hand, if the back-gate bias is applied during both ON- and OFF-states, while a constant stress Vov is maintained by adjusting the front-gate VG [i.e., VG – Vth (VBG) is kept constant under different VBG’s], the BTI reliability can be improved under FBB (due to a reduced Eox in the front-gate) without performance loss. The latter property can be used to improve the device reliability under circuit operation. [ABSTRACT FROM AUTHOR]

Reliability is an important consideration during semiconductor technology development, which ensures that the performances of devices, circuits, and systems are maintained over a specified period of time, leading to successful products. Device reliability is at the core of overall product reliability, which continues to remain an important area of research and has attracted the attention of IEEE Transactions on Electron Devices (T-ED) authors and readers throughout the years. Device reliability can be classified into two broad areas: gradual drift of device performance over time or sudden failure, and both are of importance for logic, memory, RF, and power devices. Different aspects of device reliability are usually reported, such as the development of electrical or physical characterization methods, investigation and modeling of a particular phenomenon, impact of material and processes on reliability, and development of reliability tolerant technologies. [ABSTRACT FROM AUTHOR]

We present a defect spectroscopy technique to profile the energy and spatial distribution of defects within a material stack from leakage current (${J}$ – ${V}$), capacitance (${C}$ – ${V}$), and conductance (${G}$ – ${V}$) measurements. The technique relies on the concept of sensitivity maps (SMs) that identify the bandgap regions, where defects affect those electrical characteristics. The information provided by SMs are used to reproduce ${J}$ – ${V}$ , ${C}$ – ${V}$ , and ${G}$ – ${V}$ data measured at different temperatures and frequencies by means of physics-based simulations relying on an accurate description of carrier-defect interactions. The proposed defect spectroscopy technique is applied to ZrO2-based metal–insulator–metal structures of different compositions for dynamic random-access memory capacitor applications. The origin of the observed voltage, temperature, and frequency dependencies of the ${I}$ – ${V}$ , ${C}$ – ${V}$ , and ${G}$ – ${V}$ data is understood, and the atomic structure of the relevant stack defects is identified. [ABSTRACT FROM AUTHOR]

Low-power circuits are important for many applications, such as Internet of Things. Device variations and fluctuations are challenging their design. Random telegraph noise (RTN) is an important source of fluctuation. To verify a design by simulation, one needs assessing the impact of fluctuation in both driving current $\Delta {I}_{d}$ and threshold voltage $\Delta {V}_{\textsf {th}}$. Many early works, however, only measured RTN-induced $\Delta {I}_{d}$. $\Delta {V}_{\textsf {th}}$ was not directly measured because of two difficulties: its average value is low and it is highly dynamic. Early works often estimated $\Delta {V}_{\textsf {th}}$ from $\Delta {I}_{d}/{g}_{m}$ (${V}_{g} = {V}_{\textit {dd}}$), where ${g}_{m}$ is the transconductance, without giving its accuracy. The objective of this paper is to develop a new Trigger-When-Charged (TWC) technique for directly measuring the RTN-induced $\Delta {V}_{\textsf {th}}$. By triggering the measurement only when a trap is charged, measurement accuracy is substantially improved. It is found that there is a poor correlation between $\Delta {I}_{d}/{g}_{m}$ (${V}_{g} = {V}_{\textit {dd}}$) and the directly measured $\Delta {V}_{\textsf {th}}$ (${V}_{g} = {V}_{\textsf {th}}$). The former is twice of the latter on average. The origin for this difference is analyzed. For the first time, the TWC is applied to evaluate device-to-device variations of the directly measured RTN-induced $\Delta {V}_{\textsf {th}}$ without selecting devices. [ABSTRACT FROM AUTHOR]

Operating temperature has a significant imp-act on the reliability of metal–oxide–semiconductor field effect transistors (MOSFETs). In Si-channel MOSFETs, the effective density of charged oxide defects ($\Delta {N}_{\text {eff}}$) at operating condition typically shows an Arrhenius temperature dependence with ${E}_{\text {A}}$ ~ 0.1 eV. In contrast, apparent non-Arrhenius temperature dependence is reported here for InGaAs devices subjected to BTI stress in a wide range of temperature (77–373 K). This apparent non-Arrhenius temperature dependence is explained here by the presence of three distinct populations of electron traps. Capture–emission-time maps are derived from the experimental data, and are modeled by three bivariate distributions of energy barriers for the capture and emission processes. The total $\Delta {V}_{\text {th}}$ measured in bias-temperature-instability experiments reflects different contributions from the three defect populations, depending on the chosen temperature range, and on the measurement timing. We show that a correct description of the three defect distributions is crucial to properly assess their impact on the device performance. [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]

Silicon bandgap limits the reduction of operation voltage when downscaling device sizes. This increases the electrical field within-a-device and hot carrier aging (HCA) is becoming an important reliability issue again for some CMOS technologies. For nanodevices, there are a number of challenges for characterizing their HCA: the random charge–discharge of traps in gate dielectric causes “within-a-device-fluctuation (WDF),” making the parameter shift uncertain after a given HCA. This can introduce errors when extracting HCA time exponents and it will be shown that the lower envelope of the WDF must be used. Nanodevices also have substantial device-to-device variation (DDV) and multiple tests are needed for evaluating their standard deviation ( $\sigma )$ and mean value ( $\mu $ ). Repeating the time-consuming HCA tests is costly and a voltage-step-stress method is applied to reduce the number of tests by 80%. For a given number of devices under tests (DUTs), there is a little information on the accuracy of the extracted $\sigma $ and $\mu $ . We will develop a method to provide this information, based on the defect-centric model. For 40 DUTs with an average of ten traps per device, the extracted $\mu $ and $\sigma $ has an accuracy of ±14% and ±24%, respectively, with a 95% confidence. [ABSTRACT FROM PUBLISHER]

To predict the negative bias temperature instability (NBTI) toward the end of pMOSFETs’ ten years lifetime, power-law-based extrapolation is the industrial standard method. The prediction accuracy crucially depends on the accuracy of time exponents, n. n reported by early work spreads in a wide range and varies with measurement conditions, which can lead to unacceptable errors when extrapolated to ten years. The objective of this paper is to find how to make n extraction independent of measurement conditions. After removing the contribution from as-grown hole traps, a new method is proposed to capture the generated defects (GDs) in their entirety. n extracted by this method is around 0.2 and insensitive to measurement conditions for the four fabrication processes we tested. The model based on this method is verified by comparing its prediction with measurements. Under ac operation, the model predicts that the GD can contribute to ~90% of NBTI at ten years. [ABSTRACT FROM PUBLISHER]

The access transistor of SRAM can suffer both positive bias temperature instability (PBTI) and hot carrier aging (HCA) during operation. The understanding of electron traps (ETs) is still incomplete and there is little information on their similarity and differences under these two stress modes. The key objective of this paper is to investigate ETs in terms of energy distribution, charging and discharging properties, and generation. We found that both PBTI and HCA can charge ETs which center at 1.4 eV below conduction band ( Ec ) of high-k dielectric, agreeing with theoretical calculation. For the first time, clear evidences are presented that HCA generates new ETs, which do not exist when stressed by PBTI. When charged, the generated ETs’ peak is 0.2 eV deeper than that of preexisting ETs. In contrast with the power law kinetics for charging the preexisting ETs, filling the generated ETs saturates in seconds, even under an operation bias of 0.9 V. ET generation shortens device lifetime and must be included in modeling HCA. A cyclic and antineutralization ETs model is proposed to explain PBTI and HCA degradation, which consists of preexisting cyclic ETs, generated cyclic ETs, and antineutralization ETs. [ABSTRACT FROM AUTHOR]

Continuing CMOS performance scaling requires developing MOSFETs of high-mobility semiconductors and InGaAs is a strong candidate for n-channel. InGaAs MOSFETs, however, suffer from high densities of border traps, and their origin and impact on device characteristics are poorly understood at present. In this paper, the border traps in nMOSFETs with an In0.53Ga0.47As channel and Al2O3 gate oxide are investigated using the discharging-based energy profiling technique. By analyzing the trap energy distributions after charging under different gate biases, two types of border traps together with their energy distributions are identified. Their different dependences on temperature and charging time support that they have different physical origins. The impact of channel thickness on them is also discussed. Identifying and understanding these different types of border traps can assist in the future process optimization. Moreover, border trap study can yield crucial information for long-term reliability modeling and device time-to-failure projection. [ABSTRACT FROM AUTHOR]

A novel method for the extraction of the lateral position of border traps in nanoscale MOSFETs is presented. Using technology computer-aided design (TCAD) simulations, we demonstrate that the dependence of the trap-induced threshold voltage shift on the drain bias is more sensitive to the lateral trap position than to the impact of random dopants. Based on this, the lateral defect position can be determined with a precision of several percent of the channel length. To demonstrate the correct functionality of our technique, we apply it to extract the lateral positions of experimentally observed traps. Although the most accurate algorithm is based on time-consuming TCAD simulations, we propose a simplified analytic expression, which allows for the extraction of the lateral trap position directly from the experimental data. While the uncertainty introduced by random dopants is <10% for the TCAD model, the additional errors introduced by the simple analytic expression still provide trap positions accurate to 5% for the devices with 20-nm channel length and 20%–25% for 100-nm-long devices. [ABSTRACT FROM AUTHOR]

After nearly half a century of research into the bias temperature instability, two classes of models have emerged as the strongest contenders. One class of models, the reaction-diffusion models, is built around the idea that hydrogen is released from the interface and that it is the diffusion of some form of hydrogen that controls both degradation and recovery. Although various variants of the reaction-diffusion idea have been published over the years, the most commonly used recent models are based on nondispersive reaction rates and nondispersive diffusion. The other class of models is based on the idea that degradation is controlled by first-order reactions with widely distributed (dispersive) reaction rates. We demonstrate that these two classes give fundamentally different predictions for the stochastic degradation and recovery of nanoscale devices, therefore providing the ultimate modeling benchmark. Using detailed experimental time-dependent defect spectroscopy data obtained on such nanoscale devices, we investigate the compatibility of these models with experiment. Our results show that the diffusion of hydrogen (or any other species) is unlikely to be the limiting aspect that determines degradation. On the other hand, the data are fully consistent with reaction-limited models. We finally argue that only the correct understanding of the physical mechanisms leading to the significant device-to-device variation observed in the degradation in nanoscale devices will enable accurate reliability projections and device optimization. [ABSTRACT FROM AUTHOR]

We present a physics-based hot-carrier degradation (HCD) model and validate it against measurement data on SiON n-channel MOSFETs of various channel lengths, from ultrascaled to long-channel transistors. The HCD model is capable of representing HCD in all these transistors stressed under different conditions using a unique set of model parameters. The degradation is modeled as a dissociation of Si–H bonds induced by two competing processes. It can be triggered by solitary highly energetical charge carriers or by excitation of multiple vibrational modes of the bond. In addition, we show that the influence of electron–electron scattering (EES), the dipole-field interaction, and the dispersion of the Si–H bond energy are crucial for understanding and modeling HCD. All model ingredients are considered on the basis of a deterministic Boltzmann transport equation solver, which serves as the transport kernel of a physics-based HCD model. Using this model, we analyze the role of each ingredient and show that EES may only be neglected in long-channel transistors, but is essential in ultrascaled devices. [ABSTRACT FROM PUBLISHER]

SRAM is vulnerable to device-to-device variation (DDV), since it uses minimum-sized devices and requires device matching. In addition to the as-fabricated DDV at time-zero, aging induces a time-dependent DDV (TDDV). Bias temperature instability (BTI) is a dominant aging process. A number of techniques have been developed to characterize the BTI, including the conventional pulse- \(I\) – \(V\) , random telegraph noises, time-dependent defect spectroscopy, and TDDV accounting for the within-device fluctuation. These techniques, however, cannot be directly applied to SRAM, because their test conditions do not comply with typical SRAM operation. The central objective of this paper is to develop a technique suitable for characterizing both the negative BTI (NBTI) and positive BTI (PBTI) in SRAM. The key issues addressed include the SRAM relevant sensing Vg, measurement delay, capturing the upper envelope of degradation, sampling rate, and measurement time window. The differences between NBTI and PBTI are highlighted. The impact of NBTI and PBTI on the cell-level performance is assessed by simulation, based on experimental results obtained from individual devices. The simulation results show that, for a given static noise margin, test conditions have a significant effect on the minimum operation bias. [ABSTRACT FROM PUBLISHER]

This paper presents an extensive study of the interplay between as-fabricated (time-zero) variability and gate oxide reliability (time-dependent variability) in contemporary pMOSFETs. We compare physical simulation results using the atomistic simulator GARAND with experimental measurements. The TCAD simulations are accurately calibrated to reproduce the average transistor behavior. When random discrete dopants, line edge roughness, and gate polysilicon granularity are considered, the simulations accurately reproduce time-zero (as-fabricated) statistical variability, as well as time-dependent variability data, represented by threshold voltage shift distributions. The calibrated simulations are then used to predict the reliability behavior at different bias conditions and for different device dimensions. [ABSTRACT FROM PUBLISHER]

Ge is a candidate for replacing Si, especially for pMOSFETs, because of its high hole mobility. For Si-pMOSFETs, negative-bias temperature instabilities (NBTI) limit their lifetime. There is little information available for the NBTI of Ge-pMOSFETs with Ge/GeO2/Al2O3 stack. The objective of this paper is to provide this information and compare the NBTI of Ge- and Si-pMOSFETs. New findings include: 1) the time exponent varies with stress biases/field when measured by either the conventional slow dc or pulse I-V technique, making the conventional Vg -accelerated method for predicting the lifetime of Si-pMOSFETs inapplicable to Ge-pMOSFETs used in this paper; 2) the NBTI is dominated by positive charges (PCs) in dielectric, rather than generated interface states; 3) the PC in Ge/GeO2/Al2O3 can be fully annealed at 150 ^\circC ; and 4) the defect losses reported for Si sample were not observed. For the first time, we report that the PCs in oxides on Ge and Si behave differently, and to explain the difference, an energy-switching model is proposed for hole traps in Ge-MOSEFTs: their energy levels have a spread below the edge of valence band, i.e., Ev , when neutral, lift well above Ev after charging, and return below Ev following neutralization. [ABSTRACT FROM PUBLISHER]

This paper describes the implications of bias temperature instability (BTI)-induced time-dependent threshold voltage distributions on the performance and yield estimation of digital circuits. The statistical distributions encompassing both time-zero and time-dependent variability and their correlations are discussed. The impact of using normally distributed threshold voltages, imposed by state-of-the-art design approaches, is contrasted with our defect-centric approach. Extensive Monte Carlo simulation results are shown for static random access memory cell and ring oscillator structures. [ABSTRACT FROM PUBLISHER]

The role of trap-assisted tunneling (TAT) in the degradation of the subthreshold swing (SS) in n-type line tunnel field-effect transistors (TFETs) is investigated through the experiments and simulations. A two to fourfold increase in the interface state density is achieved by applying a positive or a negative stress between the gate and the source. The negative stress shows no impact on the SS in spite of nearly fourfold increase in the interface state density. A nearly twofold increase in interface state density and improvement in SS are observed under the application of positive stress. The improvement in SS is attributed to H^+ species released from the Si/SiO2 interface during stress, which moves toward the bulk Si, passivating boron and bulk Si traps, thereby improving the SS. Under negative stress bias, the released H^+ species drifts toward the gate electrode, and hence no change in SS was observed. These experiments suggest that the SS degradation is mainly caused by TAT through bulk Si traps and insensitive to interface traps. A good control of bulk semiconductor trap density will be required to achieve sub-60-mV/decade SS in line TFETs. [ABSTRACT FROM PUBLISHER]

The channel hot carrier degradation mechanisms in n-FinFET devices are studied. In long channel devices, interface degradation by hot carriers mainly degrades the device at the maximum impact ionization condition (VG\sim VD/2). At higher VG closer to VD, cold and hot carrier injection to the oxide bulk defect increases and dominates at the VG=VD stress condition. On the other hand, in short channel devices, hot carriers are generated continuously with respect to VG and highly at VG=VD, and this hot carrier injection into the oxide bulk defect is the main degradation mechanism. [ABSTRACT FROM PUBLISHER]

Variability of nanometer-size devices is a major challenge for circuit design. Apart from the as-fabricated variability, the postfabrication degradation introduces a time-dependent variability, originating from statistical distribution of charge location and number. The existing characterization techniques do not always capture the maximum degradation. Some of them does not separate the device-to-device variation from the charging fluctuation within the same device, either. The objective of this paper is to develop a new analysis method for characterizing time-dependent device-to-device variation, accounting for within-device fluctuation (TVF). The TVF captures the maximum degradation, separate device-to-device variation from within-device fluctuation, and reduce the data points by three orders of magnitude. It is shown that the popular data acquisition at discrete time points does not capture the fluctuation well and drain current must be measured continuously. The TVF shows that degradation has two components—a fluctuation with time and one whose discharge is not observed under a given bias. Although both of them increase with stress time, the correlation between them is weak, indicating two different origins. [ABSTRACT FROM AUTHOR]

Positive charges (PCs) in gate dielectric shift the threshold voltage and cause a time-dependent device variability. To assess their impact on circuits, it is useful to know their distribution for a wide energy range both within and beyond silicon bandgap. Such a distribution is still missing, and a technique for its extraction has not been demonstrated yet. The central objective of this paper is, for the first time, to develop a new fast technique and to demonstrate its capability for probing the energy distribution of PCs over such a wide energy range. Results show that PCs can vary significantly with energy level. The PCs in different energy regions clearly originate from different defects. The PCs below the valence band edge are as-grown hole traps that are insensitive to stress time and temperature, and substantially higher in thermal SiON. The PCs above the valence-band edge are from created defects. The PCs within the bandgap have a peak near Ev + 0.8 eV and saturate for either longer stress time or higher stress temperature. In contrast, the PCs above a conduction band edge, namely the antineutralization positive charges, do not saturate, and their generation is clearly thermally accelerated. [ABSTRACT FROM AUTHOR]

We report extensive experimental results of the negative bias temperature instability (NBTI) reliability of SiGe channel pMOSFETs as a function of the main gate-stack parameters. The results clearly show that this high-mobility channel technology offers significantly improved NBTI robustness compared with Si-channel devices, which can solve the reliability issue for sub-1-nm equivalent-oxide-thickness devices. A physical model is proposed to explain the intrinsically superior NBTI robustness. [ABSTRACT FROM AUTHOR]

The time-dependent variability of nanoscaled \Si0.45 \Ge0.55 pFETs with varying thicknesses of the Si passivation layer is studied. Single charge/discharge events of gate oxide defects are detected by measuring negative bias-temperature instability (NBTI)-like threshold voltage (Vth) shift relaxation transients. The impact of such individually charged defect on device Vth is observed to be exponentially distributed. SiGe channel devices with a reduced thickness of their Si passivation layer show a reduced average number of active defects and a reduced average impact per charged defect on device Vth. Our model for the superior reliability of the SiGe channel technology previously proposed in Part I, which is based on the energy decoupling between channel holes and dielectric defects, is shown to also explain these experimental observations. Other reliability mechanisms, such as \1/f noise, body biasing during NBTI, channel hot carriers, and time-dependent dielectric breakdown, are also investigated. None of these mechanisms are observed to constitute a showstopper for the reliability of this promising novel technology. [ABSTRACT FROM AUTHOR]

Defects in gate oxide cause breakdown and shorten device lifetime. Early works mainly focused on generation process that converts a precursor into a charged defect. Although it can be neutralized through “recovery,” the defect is still there and will recharge when resuming stress. Recently, we have shown that this is not always the case and some defects can be lost, but a detailed investigation is missing. The central objective of this work is to accurately define and extract the loss, separate it from slowdown, and evaluate their enhancement of device lifetime. Loss is defined as elimination of defects, while slowdown means that recharging a “hardened” precursor takes longer than charging a fresh one. Clear evidences show that losses originate from permanent components, i.e., generated interface states and antineutralization positive charges, while slowdown occurs to both permanent and recoverable components. Loss is thermally accelerated, but slowdown of recoverable component is not. This improved understanding adds slowdown and losses to the existing framework for defects. For the first time, we report that the losses and slowdown enhance device lifetime by a factor of 2.6–4.3, for an allowed threshold voltage shift of 20–45 mV. [ABSTRACT FROM AUTHOR]

New insights into the negative/positive bias temperature instability (N/PBTI) degradation mechanisms in the sub-1-nm equivalent oxide thickness (EOT) regime are presented in this paper. The electric field requirements suggested by the International Roadmap for Semiconductors demand an even higher value in the sub-1-nm-EOT regime, which is practically difficult to meet with the increased hole trapping mechanism involved. Thus, a fixed electric field target of 5 MV/cm is considered as well here, which might be a reasonable target to achieve. The sub-1-nm-EOT devices in this paper are obtained by adopting a thinner TiN metal gate inducing Si in-diffusion and reducing the interfacial oxide layer thickness. NBTI degradation follows an isoelectric field model in over an EOT of 1 nm due to the degradation mechanism of \Si/SiO2 interface state generation combined with a hole trapping mechanism. However, in the sub-1-nm-EOT regime, the probability of hole trapping into the gate dielectric increases, and it is strongly dependent on the thickness of the interfacial oxide layer. Several experimental proofs of this increased bulk defect effect are shown in this paper. In addition, the bulk defect affecting NBTI is shown to be mostly a preexisting defect, although the permanently generated defects are relatively higher in sub-1-nm-EOT devices. Therefore, NBTI in the sub-1-nm-EOT regime faces the lifetime limit by both electric field dependence and increased degradation by increased hole trapping into bulk defects. Further, we found a minimum interfacial layer thickness of 0.4 nm that is required to prevent the accelerated NBTI degradation by increased direct tunneling. The main degradation mechanism of PBTI in sub-1-nm EOT is the electron trapping into bulk defects, which is the same as in over 1-nm-EOT devices. This enables us to modulate the bulk defect energetic locations in the oxide and to improve PBTI. [ABSTRACT FROM AUTHOR]

Interface states play an important role in the performance of MOSFETs, and previous works only addressed the states within band gap. The implicit assumption is that the states beyond band gap (SBBs) are negligible, but there is no experimental evidence supporting it. Because of a lack of techniques for characterizing SBBs, there is hardly any information available. The central objective of this paper is to develop a technique for evaluating SBBs and to show the impact of SBBs on mobility evaluation. For the first time, the pulse capacitance–voltage has been used to extract SBBs quantitatively. It is found that SBBs can reach the order of \10^13 \ \cm^-2\cdot\eV^-1 beyond both conduction- and valence-band edges on a fresh MOSFET. The conventional split C– V technique ignores the SBBs, and this can lead to an underestimation of carrier mobility over 30%. Using the newly developed technique as a tool, the impact of nitridation of Hf-based dielectric stacks on carrier mobility is assessed. As nitrogen density increases, the apparent reduction of carrier mobility observed by early works originates from the higher SBBs. Once SBBs are taken into account, nitridation does not degrade carrier mobility. The SBBs are sensitive to process conditions, and this paper opens the way for their minimization. [ABSTRACT FROM AUTHOR]

One of the most important degradation modes in CMOS technologies, the bias temperature instability (BTI) has been known since the 1960s. Already in early interpretations, charge trapping in the oxide was considered an important aspect of the degradation. In their 1977 paper, Jeppson and Svensson suggested a hydrogen-diffusion controlled mechanism for the creation of interface states. Their reaction–diffusion model subsequently became the dominant explanation of the phenomenon. While Jeppson and Svensson gave a preliminary study of the recovery of the degradation, this issue received only limited attention for many years. In the last decade, however, a large number of detailed recovery studies have been published, showing clearly that the reaction–diffusion mechanism is inconsistent with the data. As a consequence, the research focus shifted back toward charge trapping. Currently available advanced charge-trapping theories based on switching oxide traps are now able to explain the bulk of the experimental data. We give a review of our perspective on some selected developments in this area. [ABSTRACT FROM PUBLISHER]

Extraction of interfacial trap density Nit in extremely reduced gate oxides with equivalent oxide thickness (EOT) below 1 nm by conventional charge pumping is virtually impossible due to the high gate leakage current through the very thin oxide. However, interface quality assessment in subnano EOT devices is essential for the reliability and performance improvement of future logic devices. In this paper, an accurate approach to determine the interfacial trap density in a 5.8- \\rm\AA EOT device is performed by an advanced charge pumping technique employing ring-oscillator-connected devices. A consistency comparison of this technique to the conventional charge pumping is done by a frequency sweep on the 10.1-\\rm \AA EOT device. Clear charge pumping currents are obtained on the 5.8- \\rm\AA EOT oxide, and further analysis by varying the applied frequency and amplitude is performed. The interface trap density in the 5.8-\\rm\AA EOT device is found to be higher than that in the 10.1- \\rm\AA EOT device due to the physically reduced interfacial layer in the thinner EOT device. Moreover, direct tunneling-based calculation gives the charge injection distance as about 2 \\rm\AA inside the oxide. Stress-induced defect generation is investigated by applying dc stress between charge pumping and Idrain - Vgate measurements. The 5.8- \\rm\AA EOT device shows higher initial Nit but lower stress-induced Nit as compared with the 10.1- \\rm\AA EOT device. The bulk trap Not generated after stress is higher in the 5.8- \\rm\AA EOT device due to the higher initial bulk trap density. [ABSTRACT FROM AUTHOR]

Bias temperature instability (BTI) is a serious reliability concern for MOS transistors. This paper covers theoretical analysis, Monte Carlo simulation, and experimental investigation of the charge trapping component of BTI. An analytical model for both stress and recovery phases of BTI is presented. Furthermore, the model properly describes device behavior under periodic switching, also called AC-BTI or cyclostationary operation. The model is based on microscopic device physics parameters, which are shown to cause statistical variation in transistor BTI behavior. It is shown that a universal logarithmic law describes the time dependence of charge trapping in both stress and recovery phases, and that the time dependence may be separated from the temperature and bias point dependence. Analytical equations for the statistical parameters are provided. The model is compared with experimental data and Monte Carlo simulation results. [ABSTRACT FROM AUTHOR]

The off-state degradation of n-channel laterally diffused metal–oxide–semiconductor (MOS) silicon-controlled-rectifier electrostatic-discharge (ESD) devices for high-voltage applications in standard low-voltage complementary MOS technology is studied. Based on experimental data and technology computer-aided design simulations, impact ionization induced by conduction-band electrons tunneling from an \n^+ poly-Si gate to an n-well is identified to be the driving force of device degradation. Device optimization is proposed, which improves both off-state and ESD reliability. [ABSTRACT FROM AUTHOR]

Characterizing interface states is a key task, and it typically takes seconds when conventional techniques, such as charge pumping (CP), are used. The stress-induced degradation can recover substantially during this time, and there is a need to improve the measurement speed. The central task of this work is to reduce the measurement time for interface states from seconds to microseconds to minimize the recovery. A fast single pulse CP (SPCP) technique is developed. By exploring the differences in the transient currents corresponding to the two edges of the gate pulse, the net charges pumped into devices can be obtained, and their saturation level is used to evaluate interface states. Unlike the conventional CP (CCP) method, the contribution of currents during the plateaus of gate pulse is excluded for SPCP, making it less vulnerable to the interferences of gate leakage and defects within dielectrics. For the first time, the SPCP allows the recovery of interface states being monitored with a time resolution in microseconds. The results show that the recovery of stress-induced interface states is substantial within 100 \mu\s, which would be missed if the CCP were used. [ABSTRACT FROM PUBLISHER]

A fast response technique is developed to investigate the short-term postprogram and post-erase discharge in Flash memory devices. The procedure is based on fast VTH -evaluation methods developed for bias temperature instability and provides the transient characteristics after 20 ms under the program or erase conditions. The following different structures are investigated: 1) \SiO2/high-k stacks; 2) charge trap memories; 3) and floating gate memories. Dielectrics targeted for Flash memory applications are used as charge trap layers and interpoly dielectrics. In this paper, we show results on \Al2\O3, DyScO, GdScO, and hexagonal and perovskite LuAlO. The postprogram and post-erase curves hold useful information about the dielectric properties and are used as a fast screening technique for alternative materials. [ABSTRACT FROM PUBLISHER]

Predicting negative bias temperature instability (NBTI) lifetime can be dangerous since it is difficult to assess its safety margin. The common technique uses gate bias Vg acceleration to reduce the test time, and the data were typically obtained from quasi-dc measurements. Recently, it has been shown that substantial recovery occurs during the quasi-dc measurement, and the suppression of recovery requires using ultrafast pulse measurement, where time was reduced to the order of microseconds. In a real circuit, different transistors have different levels of recovery, and the worst case scenario is when recovery is suppressed. At present, there is little information on how this worst case NBTI lifetime can be predicted and whether the traditional Vg acceleration technique can still be used. This work will show that the prediction based on the Vg acceleration results in a substantial error, and its cause will be analyzed. To predict the worst case lifetime, a model for NBTI kinetics under operation gate bias is developed. This kinetics includes contributions from both as-grown and generated defects, and it no longer follows a simple power law. Based on the new kinetics, a single-test prediction method is proposed, and its safety margin is estimated to be 50%. [ABSTRACT FROM AUTHOR]

In this paper, we study time-dependent dielectric breakdown in thin gate oxides and propose a new methodology applicable to a wide range of gate stacks for extracting breakdown (SBD) and post-SBD wear-out (WO) parameters measuring the time to hard breakdown (tHBD) only. By introducing this methodology, we can get around the problems related to the detection of the first SBD and the corresponding WO time. We show that the shape of the HBD distribution can change with voltage and area, depending on the ratio of WO and SBD times. We also explain why, in literature, contradictory results related to the voltage acceleration factors of SBD and WO are reported. Finally, we construct a complete reliability prediction model includes SBD and WO. [ABSTRACT FROM AUTHOR]

Negative bias temperature instability (NBTI) is a serious reliability concern for pMOS transistors. Although discovered more than 40 years ago, the phenomenon remains highly controversial in both experimental and theoretical terms. A considerable number of recent publications suggest that NBTI is caused by the following two independent mechanisms: 1) generation of defects close to the silicon/silicon dioxide interface and 2) hole trapping in the oxide. We have performed stress and recovery experiments at different temperatures and voltages that, quite surprisingly, reveal that all data can be scaled onto a single universal curve during stress, recovery, and restress. This suggests that in our samples, NBTI is caused by either a single dominant mechanism, which is more complicated than previously anticipated, or that the previously suggested mechanisms, i.e., hole trapping and defect creation, are actually tightly coupled. [ABSTRACT FROM AUTHOR]

To assess the impact of strain on negative bias temperature instability (NBTI), systematic studies were performed on devices with polycrystalline-Si/SiON as well as deposited metal gate/high-κ and FUSI/high-κ gate stacks. The effects of compressive stress, which acts as performance booster for PMOS devices, were studied, with strain introduced by stressor layers as well as SiGe source/drain techniques. Care was taken to account for side effects of processing steps used to introduce the strain, such as changes on threshold voltage or capacitance equivalent thicknesses, in order to obtain a fair evaluation of the intrinsic effect of strain on NBTI. NBTI measurements were complemented by charge pumping and noise measurements to obtain a comprehensive understanding of defects present and of their generation under stress. In addition, nanobeam diffraction strain measurements, as well as curvature mass simulations, were performed in order to investigate the impact of strain on carrier mobility in the vertical direction. Our studies showed consistently that there is no significant degradation of intrinsic NBTI behavior due to process-induced strain. [ABSTRACT FROM AUTHOR]

A theory of the current-ratio (CR) technique in uniform semiconductors, which is widely used to locate gate oxide breakdown (BD) spots in one dimension (i.e., distance from source or drain), is proposed and verified. The theory shows that the CR method is a special case of generalized van der Pauw technique and, as such, can easily be generalized to locate oxide BD spots in two dimensions. We develop the theoretical framework of this new class of BD-spot characterization techniques and then validate the theory by experiments. We conclude by discussing the implications of locating BD spots in two dimensions for reliability projections of ultrathin gate oxides. [ABSTRACT FROM AUTHOR]

A comparative study of the reliability issues of triple-gate and planar FETs processed on the same silicon-on-insulator wafer is presented. It is shown that the triple-gate architecture does not alter the behavior of the time-dependent dielectric breakdown (BD) for different gate voltages and temperatures. The apparent higher Weibull slope observed in planar devices with respect to the triple-gate devices is ascribed to the area dependence of the time-to-BD detection. In spite of the different surface orientations, low-frequency noise measurements indicate similar values of the interface trap density for triple-gate and planar FETs. [ABSTRACT FROM AUTHOR]

Data retention in flash memories is limited by anomalous charge loss. In this work, this phenomenon is modeled with a percolation concept. An analytical model is constructed that relates the charge-loss distribution of moving bits in flash memories with the geometric distribution of oxide traps. The oxide is characterized by a single parameter, the trap density. Combined with a trap-to-trap direct tunneling model, the physical parameters of the electron traps involved in the leakage mechanism are determined. Flash memory failure rate predictions for different oxide qualities, thicknesses and tunnel-oxide voltages are calculated. [ABSTRACT FROM AUTHOR]

Relates the impact of hard gate-oxide breakdown on field effect transistor behavior to the position of the breakdown along the gate length. Detection of the breakdown; Device simulations; Number of postbreakdown characteristics corresponding to gate-to-extension and gate-to-substrate.

Describes a particular digital circuit that continues to operate even after the gate oxide in several of its field-effect transistors have undergone hard gate oxide breakdown. Basic parameters of the ring oscillator circuit; Cause of abrupt increases in supply current; Analysis of breakdown sequence.

Presents a study which demonstrated the influence of elevated temperature on degradation and lifetime prediction of thin silicon-dioxide films. Experimental details; Results and discussion; Conclusion.