3-D statistical simulation comparison of oxide reliability of planar MOSFETs and FinFET

New transistor architectures such as fully depleted silicon on insulator (FDSoI) MOSFETs and FinFETs have been introduced in advanced CMOS technology generations to boost performance and to reduce statistical variability (SV). In this paper, the robustness of these architectures to random telegraph noise and bias temperature instability issues is investigated using comprehensive 3-D numerical simulations, and results are compared with those obtained from conventional bulk MOSFETs. Not only the impact of static trapped charges is investigated, but also the charge trapping dynamics are studied to allow device lifetime and failure rate predictions. Our results show that device-to-device variability is barely increased by progressive oxide charge trapping in bulk devices. On the contrary, oxide degradation determines the SV of SoI and FinFET devices. However, the SoI and multigate transistor architectures are shown to be significantly more robust in terms of immunity to time-dependent SV when compared with the conventional bulk device. The comparative study here presented could be of significant importance for reliability resistant CMOS circuits and systems design. © 2013 IEEE.published_or_final_versio

A statistical study of time dependent reliability degradation of nanoscale MOSFET devices

Charge trapping at the channel interface is a fundamental issue that adversely affects the reliability of metal-oxide semiconductor field effect transistor (MOSFET) devices. This effect represents a new source of statistical variability as these devices enter the nano-scale era. Recently, charge trapping has been identified as the dominant phenomenon leading to both random telegraph noise (RTN) and bias temperature instabilities (BTI). Thus, understanding the interplay between reliability and statistical variability in scaled transistors is essential to the implementation of a ‘reliability-aware’ complementary metal oxide semiconductor (CMOS) circuit design. In order to investigate statistical reliability issues, a methodology based on a simulation flow has been developed in this thesis that allows a comprehensive and multi-scale study of charge-trapping phenomena and their impact on transistor and circuit performance. The proposed methodology is accomplished by using the Gold Standard Simulations (GSS) technology computer-aided design (TCAD)-based design tool chain co-optimization (DTCO) tool chain. The 70 nm bulk IMEC MOSFET and the 22 nm Intel fin-shape field effect transistor (FinFET) have been selected as targeted devices. The simulation flow starts by calibrating the device TCAD simulation decks against experimental measurements. This initial phase allows the identification of the physical structure and the doping distributions in the vertical and lateral directions based on the modulation in the inversion layer’s depth as well as the modulation of short channel effects. The calibration is further refined by taking into account statistical variability to match the statistical distributions of the transistors’ figures of merit obtained by measurements. The TCAD simulation investigation of RTN and BTI phenomena is then carried out in the presence of several sources of statistical variability. The study extends further to circuit simulation level by extracting compact models from the statistical TCAD simulation results. These compact models are collected in libraries, which are then utilised to investigate the impact of the BTI phenomenon, and its interaction with statistical variability, in a six transistor-static random access memory (6T-SRAM) cell. At the circuit level figures of merit, such as the static noise margin (SNM), and their statistical distributions are evaluated. The focus of this thesis is to highlight the importance of accounting for the interaction between statistical variability and statistical reliability in the simulation of advanced CMOS devices and circuits, in order to maintain predictivity and obtain a quantitative agreement with a measured data. The main findings of this thesis can be summarised by the following points: Based on the analysis of the results, the dispersions of VT and ΔVT indicate that a change in device technology must be considered, from the planar MOSFET platform to a new device architecture such as FinFET or SOI. This result is due to the interplay between a single trap charge and statistical variability, which has a significant impact on device operation and intrinsic parameters as transistor dimensions shrink further. The ageing process of transistors can be captured by using the trapped charge density at the interface and observing the VT shift. Moreover, using statistical analysis one can highlight the extreme transistors and their probable effect on the circuit or system operation. The influence of the passgate (PG) transistor in a 6T-SRAM cell gives a different trend of the mean static noise margin

III-V and 2D Devices: from MOSFETs to Steep-Slope Transistors

With silicon CMOS technology approaching the scaling limit, alternating channel materials and novel device structures have been extensively studied and attracted a lot of attention in solid-state device research. In this dissertation, solid-state electron devices for post-Si CMOS applications are explored including both new materials such as III-V and 2D materials and new device structures such as tunneling field-effect transistors and negative capacitance field-effect transistors. Multiple critical challenges in applying such new materials and new device structures are addressed and the key achievements in this dissertation are summarized as follows: 1) Development of fabrication process technology for ultra-scaled planar and 3D InGaAs MOSFETs. 2) Interface passivation by forming gas anneal on InGaAs gate-all-around MOSFETs. 3) Characterization methods for ultra-scaled MOSFETs, including a correction to subthreshold method and low frequency noise characterization in short channel devices. 4) Development of short channel InGaAs planar and 3D gate-allaround tunneling field-effect transistors. 5) Negative capacitance field-effect transistors with hysteresis-free and bi-directional sub-thermionic subthreshold slope and the integration with various channel materials such as InGaAs and MoS2

Characterizationof FD-SOI transistor

In this project, measurements have been made on FD-SOI transistors, fabricated by CEA-LETI, to carry out a characterization of these devices, since they are very new and need to be studied. This work has focused on characterizing the aging mechanism of the devices and the observed RTN. To characterize the aging mechanism and variability of the samples based on the applied cycles, the measurements have been made by applying constant stress voltages (CVS) directly to the device with a wafer prove station and a semiconductor parameter analyzer (SPA). To observe TN, different electrical procedures have been studied, controlling the different parameters during the measurements.En aquest projecte s'han realitzat mesures en transistors FD-SOI, fabricats per CEA-LETI, per tal de dur a terme una caracterització d'aquests dispositius, ja que són molt nous i necessiten de ser estudiats. Aquest treball s'ha centrat en caracteritzar l'envelliment dels dispositius i el RTN observat. Per a caracteritzar l'envelliment i la variabilitat de les mostres en funció dels cicles aplicats, les mesures s'han realitzat aplicant tensions d'estrés constant (CVS) directament al dispositiu amb una taula de puntes i un analitzador de paràmetres de semiconductors (SPA). Per tal d'observar RTN s'han estudiat diferents procediments elèctrics, controlant els diferents paràmetres durant les mesures.En este proyecto se han realizado medidas en transistores FD-SOI, fabricados por CEA-LETI, para llevar a cabo una caracterización de estos dispositivos, puesto que son muy nuevos y necesitan de ser estudiados. Este trabajo se ha centrado en caracterizar los mecanismos de envejecimiento de los dispositivos y el RTN observado. Para caracterizar el envejecimiento y la variabilidad de las muestras en función de los ciclos aplicados, las medidas se han realizado aplicando tensiones de estrés constante (CVS) directamente al dispositivo con una tabla de puntas y un analizador de parámetros de semiconductores (SPA). Para observar RTN se han estudiado diferentes procedimientos eléctricos, controlando los diferentes parámetros durante las medidas

Characterization of RTN in FD-SOI transistor

The project focuses on the study of transistors with FD-SOI technology to provide and corroborate information on their degradation when applying Bia Temperature Instability (BTI) and Channel Hot Carriers (HCC). Applying the constant voltage stress technique to the devices, observing how their behaviour evolves during their useful life, in addition to focusing the study on random telegraph noise (RTN). The results of the fresh and stressed characterization of the devices are compared to know how the transistors vary after different stress tensions from the characteristic IG-VG, ID-VG and ID-VD. From the method of time lag plot (W-TLP) it is possible to identify the relevant levels of RTN in which the devices work in fresh and stressed state. The conclusion is that the effects of degradation in this technology affect their operation and provide an increase in the RTN in the devices

Contribution to the Physical Modelling of Single Charged Defects Causing the Random Telegraph Noise in Junctionless FinFET

In this paper, different physical models of single trap defects are considered, which are localized in the oxide layer or at the oxide–semiconductor interface of field effect transistors. The influence of these defects with different sizes and shapes on the amplitude of the random telegraph noise (RTN) in Junctionless Fin Field Effect Transistor (FinFET) is modelled and simulated. The RTN amplitude dependence on the number of single charges trapped in a single defect is modelled and simulated too. It is found out that the RTN amplitude in the Junctionless FinFET does not depend on the shape, nor on the size of the single defect area. However, the RTN amplitude in the subthreshold region does considerably depend on the number of single charges trapped in the defectThis research was funded by Ministry of Innovation Development of the Republic of Uzbekistan, grant number OT-F2-67S

Miniaturized Transistors, Volume II

In this book, we aim to address the ever-advancing progress in microelectronic device scaling. Complementary Metal-Oxide-Semiconductor (CMOS) devices continue to endure miniaturization, irrespective of the seeming physical limitations, helped by advancing fabrication techniques. We observe that miniaturization does not always refer to the latest technology node for digital transistors. Rather, by applying novel materials and device geometries, a significant reduction in the size of microelectronic devices for a broad set of applications can be achieved. The achievements made in the scaling of devices for applications beyond digital logic (e.g., high power, optoelectronics, and sensors) are taking the forefront in microelectronic miniaturization. Furthermore, all these achievements are assisted by improvements in the simulation and modeling of the involved materials and device structures. In particular, process and device technology computer-aided design (TCAD) has become indispensable in the design cycle of novel devices and technologies. It is our sincere hope that the results provided in this Special Issue prove useful to scientists and engineers who find themselves at the forefront of this rapidly evolving and broadening field. Now, more than ever, it is essential to look for solutions to find the next disrupting technologies which will allow for transistor miniaturization well beyond silicon’s physical limits and the current state-of-the-art. This requires a broad attack, including studies of novel and innovative designs as well as emerging materials which are becoming more application-specific than ever before

Caractérisation électrique et modélisation des transistors FDSOI sub-22nm

Silicon on insulator (SOI) transistors are among the best candidates for sub-22nm technology nodes. At this scale, the devices integrate extremely thin buried oxide layers (BOX) and body. They also integrate advanced high-k dielectric / metal gate stacks and strain engineering is used to improve transport properties with, for instance, the use of SiGe alloys in the channel of p-type MOS transistors. The optimization of such a technology requires precise and non-destructive experimental techniques able to provide information about the quality of electron transport and interface quality, as well as about the real values of physical parameters (dimensions and doping level) at the end of the process. Techniques for parameter extraction from electrical characteristics have been developed over time. The aim of this thesis work is to reconsider these methods and to further develop them to account for the extremely small dimensions used for sub-22nm SOI generations. The work is based on extended characterization and modelling in support. Among the original results obtained during this thesis, special notice should be put on the adaptation of the complete split CV method which is now able to extract the characteristic parameters for the entire stack, from the substrate and its doping level to the gate stack, as well as an extremely detailed analysis of electron transport based on low temperature characterization in back-gate electrostatic coupling conditions or the exploitation of channel magnetoresistance from the linear regime of operation to saturation. Finally, a detailed analysis of low-frequency noise closes this study.Parmi les architectures candidates pour les générations sub-22nm figurent les transistors sur silicium sur isolant (SOI). A cette échelle, les composants doivent intégrer des films isolants enterrés (BOX) et des canaux de conduction (Body) ultra-minces. A ceci s'ajoute l'utilisation d'empilements de grille avancés (diélectriques à haute permittivité / métal de grille) et une ingénierie de la contrainte mécanique avec l'utilisation d'alliages SiGe pour le canal des transistors de type P. La mise au point d'une telle technologie demande qu'on soit capable d'extraire de façon non destructive et avec précision la qualité du transport électronique et des interfaces, ainsi que les valeurs des paramètres physiques (dimensions et dopages), qui sont obtenues effectivement en fin de fabrication. Des techniques d'extraction de paramètres ont été développées au cours du temps. L'objectif de cette thèse est de reconsidérer et de faire évoluer ces techniques pour les adapter aux épaisseurs extrêmement réduites des composants étudiés. Elle combine mesures approfondies et modélisation en support. Parmi les résultats originaux obtenus au cours de cette thèse, citons notamment l'adaptation de la méthode split CV complète qui permet désormais d'extraire les paramètres caractérisant l'ensemble de l'empilement SOI, depuis le substrat et son dopage jusqu'à la grille, ainsi qu'une analyse extrêmement détaillée du transport grâce à des mesures en régime de couplage grille arrière à température variable ou l'exploitation de la magnétorésistance de canal depuis le régime linéaire jusqu'en saturation. Le mémoire se termine par une analyse détaillée du bruit basse fréquence

Caractérisation et modélisation de la fiabilité relative au piégeage dans des transistors décananométriques et des mémoires SRAM en technologie FDSOI

Nowadays, microelectronic industry is able to manufacture transistors with gate length down to 30nm.At such scales, the variability and reliability issues are a growing concern. Hence, understanding the interplaybetween these two concerns is essential to guarantee good lifetime estimation of the devices. Currently, theBias Temperature Instability (BTI), which is mostly due to the carrier trapping occurring in the gate oxide,appears to be the principal source of degradation responsible for the ageing of transistor device. Thismanuscript presents a complete study of the BTI degradation occurring on small and big transistors and onStatic Random Access Memory (SRAM) cells. Thus, as a first step, several electrical characterization techniquesto evaluate the BTI degradation are presented. The necessity of fast measurement in order to avoid most of therelaxation effect occurring after the BTI stress is emphasized. Then, using these fast measurement techniques,a complete study of the Negative BTI (NBTI) on large devices is presented. Then, the manuscript focuses on thesmall devices: transistors and memory cells. First, a modeling of the trapping mechanism in the gate oxide ofsmall transistor is presented. In particular, 3D electrostatic simulations allowed us to understand the particularinfluence of the traps over the threshold voltage (VT) of the small transistors. Finally, the case of the SRAM isstudied. Finally, the impact of the degradation occurring at transistor level and impacting the functioning of theSRAM bitcells is investigated.L’industrie microélectronique arrive aujourd’hui à concevoir des transistors atteignant quelquesdizaines de nanomètres. A de telles dimensions, les problématiques de fiabilité et de variabilité des dispositifsprennent une ampleur toujours plus importante. Notamment, le couplage de ces deux difficultés nécessite uneétude approfondie pour garantir des estimations correctes de la durée de vie des dispositifs. Aujourd’hui, ladégradation BTI (pour Bias Temperature Instability), due principalement aux mécanismes de piégeage dansl’oxyde de grille, apparait comme étant la principale source de dégradation responsable du vieillissement destransistors. Ce manuscrit présente une étude complète de la dégradation BTI intervenant sur des transistors depetites et grandes dimensions et sur des cellules mémoires SRAM (pour Static Random Access Memory). Dansun premier temps, une présentation des différentes méthodes de caractérisations rapides permettant demesurer correctement cette dégradation est faite. L’importance de l’utilisation de techniques de mesuresrapides afin de limiter les effets de relaxation qui succèdent à la dégradation BTI est clairement exposée. Puis, àl’aide de ces techniques de mesures, une étude exclusivement consacrée à la caractérisation et la modélisationde la dégradation NBTI (pour Negative BTI) sur des dispositifs de grandes dimensions est réalisée. Ensuite, lemanuscrit se focalise sur la dégradation intervenant dans des dispositifs de petites dimensions : transistors etcellules mémoires. Tout d’abord, une modélisation des phénomènes de piégeages dans l’oxyde de grille depetits transistors est effectuée. En particulier, des simulations 3D électrostatiques ont permis d’expliquerl’influence des pièges d’oxyde sur la tension de seuil (VT) dans des transistors décananométriques. Enfin, uneétude de la fiabilité de cellules SRAM est présentée. Notamment, nous montrons comment évoluent lesperformances et le fonctionnement des cellules lorsque les transistors qui les constituent sont affectés par unedégradation BTI

On the accuracy in modelling the statistical distribution of Random Telegraph Noise Amplitude

The power consumption of digital circuits is proportional to the square of operation voltage and the demand for low power circuits reduces the operation voltage towards the threshold of MOSFETs. A weak voltage signal makes circuits vulnerable to noise and the optimization of circuit design requires modelling noise. Random Telegraph Noise (RTN) is the dominant noise for modern CMOS technologies and Monte Carlo modelling has been used to assess its impact on circuits. This requires statistical distributions of RTN amplitude and three different distributions were proposed by early works: Lognormal, Exponential, and Gumbel distributions. They give substantially different RTN predictions and agreement has not been reached on which distribution should be used, calling the modelling accuracy into questions. The objective of this work is to assess the accuracy of these three distributions and to explore other distributions for better accuracy. A novel criterion has been proposed for selecting distributions, which requires a monotonic reduction of modelling errors with increasing number of traps. The three existing distributions do not meet this criterion and thirteen other distributions are explored. It is found that the Generalized Extreme Value (GEV) distribution has the lowest error and meet the new criterion. Moreover, to reduce modelling errors, early works used bimodal Lognormal and Exponential distributions, which have more fitting parameters. Their errors, however, are still higher than those of the monomodal GEV distribution. GEV has a long distribution tail and predicts substantially worse RTN impact. The work highlights the uncertainty in predicting the RTN distribution tail by different statistical models