Strain-Engineered MOSFETs

This book brings together new developments in the area of strain-engineered MOSFETs using high-mibility substrates such as SIGe, strained-Si, germanium-on-insulator and III-V semiconductors into a single text which will cover the materials aspects, principles, and design of advanced devices, their fabrication and applications. The book presents a full TCAD methodology for strain-engineering in Si CMOS technology involving data flow from process simulation to systematic process variability simulation and generation of SPICE process compact models for manufacturing for yield optimization

Modelling and simulation study of NMOS Si nanowire transistors

Nanowire transistors (NWTs) represent a potential alternative to Silicon FinFET technology in the 5nm CMOS technology generation and beyond. Their gate length can be scaled beyond the limitations of FinFET gate length scaling to maintain superior off-state leakage current and performance thanks to better electrostatic control through the semiconductor nanowire channels by gate-all-around (GAA) architecture. Furthermore, it is possible to stack nanowires to enhance the drive current per footprint. Based on these considerations, vertically-stacked lateral NWTs have been included in the latest edition of the International Technology Roadmap for Semiconductors (ITRS) to allow for further performance enhancement and gate pitch scaling, which are key criteria of merit for the new CMOS technology generation. However, electrostatic confinement and the transport behaviour in these devices are more complex, especially in or beyond the 5nm CMOS technology generation. At the heart of this thesis is the model-based research of aggressively-scaled NWTs suitable for implementation in or beyond the 5nm CMOS technology generation, including their physical and operational limitations and intrinsic parameter fluctuations. The Ensemble Monte Carlo approach with Poisson-Schrödinger (PS) quantum corrections was adopted for the purpose of predictive performance evaluation of NWTs. The ratio of the major to the minor ellipsoidal cross-section axis (cross-sectional aspect ratio - AR) has been identified as a significant contributing factor in device performance. Until now, semiconductor industry players have carried out experimental research on NWTs with two different cross-sections: circular cylinder (or elliptical) NWTs and nanosheet (or nanoslab) NWTs. Each version has its own benefits and drawbacks; however, the key difference between these two versions is the cross-sectional AR. Several critical design questions, including the optimal NWT cross-sectional aspect ratio, remain unanswered. To answer these questions, the AR of a GAA NWT has been investigated in detail in this research maintaining the cross-sectional area constant. Signatures of isotropic charge distributions within Si NWTs were observed, exhibiting the same attributes as the golden ratio (Phi), the significance of which is well-known in the fields of art and architecture. To address the gap in the existing literature, which largely explores NWT scaling using single-channel simulation, thorough simulations of multiple channels vertically-stacked NWTs have been carried out with different cross-sectional shapes and channel lengths. Contact resistance, non-equilibrium transport and quantum confinement effects have been taken into account during the simulations in order to realistically access performance and scalability. Finally, the individual and combined effects of key statistical variability (SV) sources on threshold voltage (VT), subthreshold slope (SS), ON-current (Ion) and drain-induced barrier lowering (DIBL) have been simulated and discussed. The results indicate that the variability of NWTs is impacted by device architecture and dimensions, with a significant reduction in SV found in NWTs with optimal aspect ratios. Furthermore, a reduction in the variability of the threshold voltage has been observed in vertically-stacked NWTs due to the cancelling-out of variability in double and triple lateral channel NWTs

Multigate MOSFETs for digital performance and high linearity, and their fabrication techniques

The aggressive downscaling of complementary metal–oxide–semiconductor (CMOS) technology is facing great challenges to overcome severe short-channel effects. Multigate MOSFETs are one of the most promising candidates for scaling beyond Si CMOS, due to better electrostatic control as compared to conventional planar MOSFETs. Conventional dry etching-induced surface damage is one of the main sources of performance degradation for multigate transistors, especially for III-V high mobility materials. It is also challenging to increase the fin aspect ratio by dry etching because of the non-ideal anisotropic etching profile. Here, we report a novel method, inverse metal-assisted chemical etching (i-MacEtch), in lieu of conventional RIE etching, for 3D fin channel formation. InP junctionless FinFETs with record high-aspect-ratio (~ 50:1) fins are demonstrated by this method for the first time. The i-MacEtch process flow eliminates dry-etching-induced plasma damage, high energy ion implantation damage, and high temperature annealing, allowing for the fabrication of InP fin channels with atomically smooth sidewalls. The sidewall features resulting from this unique and simplified process ensure high interface quality between high-k dielectric layer and InP fin channel. Experimental and theoretical analyses show that high-aspect-ratio FinFETs, which could deliver more current per area under much relaxed horizontal geometry requirements, are promising in pushing the technology node ahead where conventional scaling has met its physical limits. The performance of the FinFET was further investigated through numerical simulation. A new kind of FinFET with asymmetric gate and source/drain contacts has been proposed and simulated. By benchmarking with conventional symmetric FinFET, better short-channel behavior with much higher current density is confirmed. The design guidelines are provided. The overall circuit delay can be minimized by optimizing gate lengths according to different local parasites among circuits in interconnection-delay-dominated SoC applications. Continued transistor scaling requires even stronger gate electrostatic control over the channel. The ultimate scaling structure would be gate-all-around nanowire MOSFETs. We demonstrate III-V junctionless gate-all-around (GAA) nanowire (NW) MOSFETs for the first time. For the first time, source/drain (S/D) resistance and thermal budget are minimized by regrowth using metalorganic chemical vapor deposition (MOCVD) in III-V MOSFETs. The fabricated short-channel (Lg=80 nm) GaAs GAA NWFETs with extremely narrow nanowire width (WNW= 9 nm) show excellent transconductance (gm) linearity at biases (300 mV), characterized by the high third intercept point (2.6 dBm). The high linearity is especially important for low power applications because it is insensitive to bias conditions

Atom-Scale Insights into III-V Semiconductor Nanowires

As the feature size of MOSFET is scaling down to nano-size, series of problems need to be overcome to continue Moore’ Law, which seems an impossible task with traditional bulk Si technology due to the physical limitation and various negative effects being subject to small feature size. The critical issues for both further improving the devices’ performance and lowering their cost lie in the exploration of substitutions for Si and the control of morphological and compositional properties of materials. group III-V nanowires due to its unique properties are considered as the building block for next-generation electronic devices. To fulfill these commercial applications with group III-V nanowires, a fundamental and quantitative understanding of growth-structure-property relationships is central to applications where nanowires exhibit clear advantages. Therefore, this doctoral research systematically investigates three different semiconductor nanowires: Au-seeded, self-seed and planar nanowires, in terms of elemental, morphological and structural aspects by taking advantage of cutting-edge technique atom probe tomography, and endeavor to unveil the correlation between nanowires’ intrinsic properties and performance. Based on the atom probe findings, the growth mechanism of Au-seeded and self-seeded nanowire have been systematically discussed, and new model has been proposed to explain the phenomena on the basis of density functional calculation. Moreover, the doping distribution in planar nanowires has also been carefully investigated, and the results demonstrate that the dopants can diffuse into the substrate which subsequently degrade the device performance due to parasitic channel effect, and accordingly, suggestions have been given to optimize the planar nanowire growth for improved dopant distribution. The outcomes of this project are expected to theoretically support high-quality nanowire synthesis for specific applications

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

Advances in Solid State Circuit Technologies

This book brings together contributions from experts in the fields to describe the current status of important topics in solid-state circuit technologies. It consists of 20 chapters which are grouped under the following categories: general information, circuits and devices, materials, and characterization techniques. These chapters have been written by renowned experts in the respective fields making this book valuable to the integrated circuits and materials science communities. It is intended for a diverse readership including electrical engineers and material scientists in the industry and academic institutions. Readers will be able to familiarize themselves with the latest technologies in the various fields

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