Characterisation of thermal and coupling effects in advanced silicon MOSFETs

PhD ThesisNew approaches to metal-oxide-semiconductor field effect transistor (MOSFET) engineering emerge in order to keep up with the electronics market demands. Two main candidates for the next few generations of Moore’s law are planar ultra-thin body and buried oxide (UTBB) devices and three-dimensional FinFETs. Due to miniature dimensions and new materials with low thermal conductivity, performance of advanced MOSFETs is affected by self-heating and substrate effects. Self-heating results in an increase of the device temperature which causes mobility reduction, compromised reliability and signal delays. The substrate effect is a parasitic source and drain coupling which leads to frequency-dependent analogue behaviour. Both effects manifest themselves in the output conductance variation with frequency and impact analogue as well as digital performance. In this thesis self-heating and substrate effects in FinFETs and UTBB devices are characterised, discussed and compared. The results are used to identify trade-offs in device performance, geometry and thermal properties. Methods how to optimise the device geometry or biasing conditions in order to minimise the parasitic effects are suggested. To identify the most suitable technique for self-heating characterisation in advanced semiconductor devices, different methods of thermal characterisation (time and frequency domain) were experimentally compared and evaluated alongside an analytical model. RF and two different pulsed I-V techniques were initially applied to partially depleted silicon-on-insulator (PDSOI) devices. The pulsed I-V hot chuck method showed good agreement with the RF technique in the PDSOI devices. However, subsequent analysis demonstrated that for more advanced technologies the time domain methods can underestimate self-heating. This is due to the reduction of the thermal time constants into the nanosecond range and limitations of the pulsed I-V set-up. The reduction is related to the major increase of the surface to volume ratio in advanced MOSFETs. Consequently the work showed that the thermal properties of advanced semiconductor devices must be characterised within the frequency domain. For UTBB devices with 7-8 nm Si body and 10 nm ultra-thin buried oxide (BOX) the analogue performance degradation caused by the substrate effects can be stronger than the analogue performance degradation caused by self-heating. However, the substrate effects can be effectively reduced if the substrate doping beneath the buried ii oxide is adjusted using a ground plane. In the MHz – GHz frequency range the intrinsic voltage gain variation is reduced ~6 times when a device is biased in saturation if a ground plane is implemented compared with a device without a ground plane. UTBB devices with 25 nm BOX were compared with UTBB devices with 10 nm BOX. It was found that the buried oxide thinning from 25 nm to 10 nm is not critical from the thermal point of view as other heat evacuation paths (e.g. source and drain) start to play a role. Thermal and substrate effects in FinFETs were also analysed. It was experimentally shown that FinFET thermal properties depend on the device geometry. The thermal resistance of FinFETs strongly varies with the fin width and number of parallel fins, whereas the fin spacing is less critical. The results suggest that there are trade-offs between thermal properties and integration density, electrostatic control and design complexity, since these aspects depend on device geometry. The high frequency substrate effects were found to be effectively reduced in devices with sub-100 nm wide fins.Engineering and Physical Sciences Research Council (EPSRC) and EU fundin

Oxygen-insertion Technology for CMOS Performance Enhancement

Until 2003, the semiconductor industry followed Dennard scaling rules to improve complementary metal-oxide-semiconductor (CMOS) transistor performance. However, performance gains with further reductions in transistor gate length are limited by physical effects that do not scale commensurately with device dimensions: short-channel effects (SCE) due to gate-leakage-limited gate-oxide thickness scaling, channel mobility degradation due to enhanced vertical electric fields, increased parasitic resistances due to reductions in source/drain (S/D) contact area, and increased variability in transistor performance due to random dopant fluctuation (RDF) effects and gate work function variations (WFV). These emerging scaling issues, together with increased process complexity and cost, pose severe challenges to maintaining the exponential scaling of transistor dimensions. This dissertation discusses the benefits of oxygen-insertion (OI) technology, a CMOS performance booster, for overcoming these challenges. The benefit of OI technology to mitigate the increase in sheet resistance ($R_{sh}$) with decreasing junction depth ($X_J$) for ultra-shallow-junctions (USJs) relevant for deep-sub-micron planar CMOS transistors is assessed through the fabrication of $R_{sh}$ test structures, electrical characterization, and technology computer-aided design (TCAD) simulations. Experimental and secondary ion mass spectroscopy (SIMS) analyses indicate that OI technology can facilitate low-resistivity USJ formation by reducing $R_{sh}$ and $X_J$ due to retarded transient-enhanced-diffusion (TED) effects and enhanced dopant retention during post-implantation thermal annealing. It is also shown that a low-temperature-oxide (LTO) capping can increase $R_{sh}$ unfavorably due to lower dopant activation levels, which can be alleviated by OI technology. This dissertation extends the evaluation of OI technology to advanced FinFET technology, targeting 7/8-nm low power technology node. A bulk-Si FinFET design comprising a super-steep retrograde (SSR) fin channel doping profile achievable with OI technology is studied by three-dimensional (3-D) TCAD simulations. As compared with the conventional bulk-Si (control) FinFET design with a heavily-doped fin channel doping profile, SSR FinFETs can achieve higher $I_{on}/I_{off}$ ratios and reduce the sensitivity of device performance to variations due to the lightly doped fin channel. As compared with the SOI FinFET design, SSR FinFETs can achieve similarly low $V_{DD,min}$ for 6T-SRAM cell yield estimation. Both SSR and SOI design can provide for as much as 100 mV reduction in $V_{DD,min}$ compared with the control FinFET design. Overall, the SSR FinFET design that can be achieved with OI technology is demonstrated to be a cheaper alternative to the SOI FinFET technology for extending CMOS scaling beyond the 10-nm node. Finally, this dissertation investigates the benefits of OI technology for reducing the Schottky barrier height ($\Phi_{Bp}$) of a Pt/Ti/p-type Si metal-semiconductor (M/S) contact, which can be expected to help reduce the specific contact resistivity for a p-type silicon contact. Electrical measurements of back-to-back Schottky diodes, SIMS, and X-ray photoelectron spectroscopy (XPS) show that the reduction in $\Phi_{Bp}$ is associated with enhanced Ti 2p and Si 2p core energy level shifts. OI technology is shown to favor low-$\Phi_{Bp}$ Pt monosilicide formation during forming gas anneal (FGA) by suppressing the grain boundary diffusion of Pt atoms into the crystalline Si substrate

Investigation on Performance Metrics of Nanoscale Multigate MOSFETs towards RF and IC Applications

Silicon-on-Insulator (SOI) MOSFETs have been the primary precursor for the CMOS technology since last few decades offering superior device performance in terms of package density, speed, and reduced second order harmonics. Recent trends of investigation have stimulated the interest in Fully Depleted (FD) SOI MOSFET because of their remarkable scalability efficiency. However, some serious issues like short channel effects (SCEs) viz drain induced barrier lowering (DIBL), Vth roll-off, subthreshold slope (SS), and hot carrier effects (HCEs) are observed in nanoscale regime. Numerous advanced structures with various engineering concepts have been addressed to reduce the above mentioned SCEs in SOI platform. Among them strain engineering, high-k gate dielectric with metal gate technology (HKMG), and non-classical multigate technologies are most popular models for enhancement in carrier mobility, suppression of gate leakage current, and better immunization to SCEs. In this thesis, the performance of various emerging device designs are analyzed in nanoscale with 2-D modeling as well as through calibrated TCAD simulation. These attempts are made to reduce certain limitations of nanoscale design and to provide a significant contribution in terms of improved performances of the miniaturized devices. Various MOS parameters like gate work function (_m), channel length (L), channel thickness (tSi), and gate oxide thickness (tox) are optimized for both FD-SOI and Multiple gate technology. As the semiconductor industries migrate towards multigate technology for system-on-chip (SoC), system-in-package (SiP), and internet-of-things (IoT) applications, an appropriate examination of the advanced multiple gate MOFETs is required for the analog/RF application keeping reliability issue in mind. Various non-classical device structures like gate stack engineering and halo doping in the channel are extensively studied for analog/RF applications in double gate (DG) platform. A unique attempt has been made for detailed analysis of the state-of-the-art 3-D FinFET on dependency of process variability. The 3-D architecture is branched as Planar or Trigate or FinFET according to the aspect ratio (WFin=HFin). The evaluation of zero temperature coefficient (ZTC) or temperature inflection point (TCP) is one of the key investigation of the thesis for optimal device operation and reliability. The sensitivity of DG-MOSFET and FinFET performances have been addressed towards a wide range of temperature variations, and the ZTC points are identified for both the architectures. From the presented outcomes of this work, some ideas have also been left for the researchers for design of optimum and reliable device architectures to meet the requirements of high performance (HP) and/or low standby power (LSTP) applications

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

A Process Variation Tolerant Self-Compensation Sense Amplifier Design

As we move under the aegis of the Moore\u27s law, we have to deal with its darker side with problems like leakage and short channel effects. Once we go beyond 45nm regime process variations also have emerged as a significant design concern.Embedded memories uses sense amplifier for fast sensing and typically, sense amplifiers uses pair of matched transistors in a positive feedback environment. A small difference in voltage level of applied input signals to these matched transistors is amplified and the resulting logic signals are latched. Intra die variation causes mismatch between the sense transistors that should ideally be identical structures. Yield loss due to device and process variations has never been so critical to cause failure in circuits. Due to growth in size of embedded SRAMs as well as usage of sense amplifier based signaling techniques, process variations in sense amplifiers leads to significant loss of yield for that we need to come up with process variation tolerant circuit styles and new devices. In this work impact of transistor mismatch due to process variations on sense amplifier is evaluated and this problem is stated. For the solution of the problem a novel self compensation scheme on sense amplifiers is presented on different technology nodes up to 32nm on conventional bulk MOSFET technology. Our results show that the self compensation technique in the conventional bulk MOSFET latch type sense amplifier not just gives improvement in the yield but also leads to improvement in performance for latch type sense amplifiers. Lithography related CD variations, fluctuations in dopant density, oxide thickness and parametric variations of devices are identified as a major challenge to the classical bulk type MOSFET. With the emerging nanoscale devices, SIA roadmap identifies FinFETs as a candidate for post-planar end-of-roadmap CMOS device. With current technology scaling issues and with conventional bulk type MOSFET on 32nm node our technique can easily be applied to Double Gate devices. In this work, we also develop the model of Double Gate MOSFET through 3D Device Simulator Damocles and TCAD simulator. We propose a FinFET based process variation tolerant sense amplifier design that exploits the back gate of FinFET devices for dynamic compensation against process variations. Results from statistical simulation show that the proposed dynamic compensation is highly effective in restoring yield at a level comparable to that of sense amplifiers without process variations. We created the 32nm double gate models generated from Damocles 3-D device simulations [25] and Taurus Device Simulator available commercially from Synopsys [47] and use them in the nominal latch type sense amplifier design and on the Independent Gate Self Compensation Sense Amplifier Design (IGSSA) to compare the yield and performance benefits of sense amplifier design on FinFET technology over the conventional bulk type CMOS based sense amplifier on 32nm technology node effective in restoring yield at a level comparable to that of sense amplifiers without process variations. We created the 32nm double gate models generated from Damocles 3-D device simulations [25] and Taurus Device Simulator available commercially from Synopsys [47] and use them in the nominal latch type sense amplifier design and on the Independent Gate Self Compensation Sense Amplifier Design (IGSSA) to compare the yield and performance benefits of sense amplifier design on FinFET technology over the conventional bulk type CMOS based sense amplifier on 32nm technology node

Design Strategies for Ultralow Power 10nm FinFETs

Integrated circuits and microprocessor chips have become integral part of our everyday life to such an extent that it is difficult to imagine a system related to consumer electronics, health care, public transportation, household application without these small components. The heart of these circuits is, the metal oxide field-effect transistor (MOSFET) which is used as a switch. The dimensions of these transistors have been scaled from a few micrometers to few tens of nanometer to achieve higher performance, lower power consumption and low cost of production. According to the International Technology Roadmap for Semiconductors (ITRS), beyond 32 nm technology node, planer devices will not be able to fulfill the strict leakage requirement anymore due to overpowering short channel effects and need of multi-gate transistor is inevitable. The motivation of the thesis therefore is to investigate techniques to engineer threshold voltage of a tri-gate FinFET for low power and ultra-low power applications. The complexity of physics involved in 3D nano- devices encourages use of advanced simulation tools. Thus, Technology Computer Aided Design Tools (TCAD) are needed to perform device optimization and support device and process integration engineers. Below 20nm technology node, the Fin-shaped Field Effect Transistor or Tri-gate transistor requires extensive use of 3D TCAD simulations. The multi-gate devices such as FinFETs are considered to be one of the most promising devices for Ultra Large Scale Integration (ULSI). This device structural design with additional gate electrodes and channel surfaces offers dynamic threshold voltage control. In addition, it can provide better short channel performance and reduced leakage. In this study, new design strategies for 10nm node NMOS bulk FinFET transistors are investigated to meet low power (LP) (50pA/μ

Schottky Field Effect Transistors and Schottky CMOS Circuitry

It was the primary goal (and result) of the presented work to empirically demonstrate CMOS operation (i.e., inverter transfer characteristics) using metallic/Schottky source/drain MOSFETs (SFETs - Schottky Field Effect Transistors) fabricated on silicon-on-insulator (SOI) substrates - a first-ever in the history of SFET research. Due to its candidacy for present and future CMOS technology, many different research groups have explored different SFET architectures in an effort to maximize performance. In the presented work, an architecture known as a bulk switching SFET was fabricated using an implant-to-silicide (ITS) technique, which facilitates a high degree of Schottky barrier lowering and therefore an increase in current injection with minimal process complexity. The different switching mechanism realized with this technique also reduces the ambipolar leakage current that has so often plagued SFETs of more conventional design. In addition, these devices have been utilized in a patent pending approach that may facilitate an increase in circuit density for devices of a given size. In other words, for example, it may be possible to achieve circuit density equivalent to 65 nm technology using a 90 nm process, while at the same time preserving or reducing local interconnect density for enhanced overall system speed. Fabrication details and electrical results will be discussed, as well as some initial modeling efforts toward gaining insight into the details of current injection at the metal-semiconductor (M-S) interface. The challenges faced using the ITS approach at aggressive scales will be discussed, as will the potential advantages and disadvantages of other approaches to SFET technology

Study of subthreshold behavior of FinFet

The study of subthreshold behavior of Metal Oxide Semiconductor Field Effect Transistor (MOSFET) is critically important in the case of submicron devices for the successful design and implementation of digital circuits. Fin Field Effect Transistor (FinFET) is considered to be an alternate MOSFET structure in the deep sub-micron regime. A 3D Poisson equation solver is employed to study the subthreshold behavior of FinFET. Based on potential distribution inside the fin, the appropriate band bending and the subthreshold value called the S-factor is calculated. It is observed that the S-factor of the device increases as the channel width, Tfin increases. This is attributed to the fact that the change in the band bending is less than the change in the applied gate voltage. This is only a first order analysis; hence the device is simulated in a device simulator Taurus. It is observed that the S-factor increases exponentially for channel lengths Lg \u3c 1.5Tfin. Further, for a constant Lg, the S factor is observed to increase as Tfin increases. An empirical relationship between S, Lg and Tfin is developed based on the simulation results, which can be used as a rule of thumb for determining the S-factor of devices

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

Two dimensional analytical threshold voltage modeling of dual material gate S-SOI mosfet

MOSFET (Metal Oxide Semiconductor Field Effect Transistor) is the one of the most important and widely used semiconductor devices used in industry for various proposes. Two most important advantages of MOSFETs are their extremely low power dissipation and small area required for fabrication, i.e high packing density .With the advance of technology the feature sizes of MOSFETs are reduced continuously to increase the packing density of very large scale integration (VLSI) circuits. With continuous shrinkage of device geometrics on threshold voltage causes strong deviations from long channel behavior. The effect of such decrease in channel length is called SCE (Short channel Effect). A two dimensional Poisson equation needs to be solved in order to understand the effect of SCE.SCE (Short Channel Effect) is the effect of reduction in the channel length of MOSFET which results in significant differences from ideal characteristic like channel length modulation, carrier velocity saturation, two dimensional charge sharing, drain induced barrier lowering (DIBL), drain source series resistance and punch through. In order to minimize the effect of short channel effect various different modeling has been introduced. Among them DG MOSFET (Double Gate MOSFET), SOI MOSFET (Silicon-On Insulator MOSFET) are particularly important. In this thesis, a two dimensional threshold voltage model is developed for a Dual Material Gate Fully Depleted Strained Silicon on Insulator (DMG-FD-S-SOI) MOSFET considering the interface trap charges. The interface trap charges during the pre and post fabrication process are a common phenomenon, and these charges can’t be neglected in nano scale devices. For finding out the surface potential, parabolic approximation is utilized to solve 2D Poisson’s equation in the channel region. Further, the virtual cathode potential method is used to formulate the threshold voltage