PAOD: a predictive approach for optimization of design in FinFET/SRAM

The evolutions in the modern memory units are comeup with FinFET/SRAM which can be utilized over high scaled computing units and in other devices. Some of the recent systems were surveyed through which it is known that existing systems lags with improving the performance and optimization of FinFET/SRAM design. Thus, the paper introduces an optimized model based on Search Optimization mechanism that uses Predictive Approach to optimize the design structure of FinFET/SRAM (PAOD). Using this can achieve significant fault tolerance under dynamic cumpting devices and applications. The model uses mathematical methodology which helps to attain less computational time and significant output even at more simulation iteration. This POAD is cost effective as it provides better convergence of FinFET/SRAM design than recursive design

Digital and analog TFET circuits: Design and benchmark

In this work, we investigate by means of simulations the performance of basic digital, analog, and mixed-signal circuits employing tunnel-FETs (TFETs). The analysis reviews and complements our previous papers on these topics. By considering the same devices for all the analysis, we are able to draw consistent conclusions for a wide variety of circuits. A virtual complementary TFET technology consisting of III-V heterojunction nanowires is considered. Technology Computer Aided Design (TCAD) models are calibrated against the results of advanced full-quantum simulation tools and then used to generate look-up-tables suited for circuit simulations. The virtual complementary TFET technology is benchmarked against predictive technology models (PTM) of complementary silicon FinFETs for the 10 nm node over a wide range of supply voltages (VDD) in the sub-threshold voltage domain considering the same footprint between the vertical TFETs and the lateral FinFETs and the same static power. In spite of the asymmetry between p- and n-type transistors, the results show clear advantages of TFET technology over FinFET for VDDlower than 0.4 V. Moreover, we highlight how differences in the I-V characteristics of FinFETs and TFETs suggest to adapt the circuit topologies used to implement basic digital and analog blocks with respect to the most common CMOS solutions

Digital and analog TFET circuits: Design and benchmark

In this work, we investigate by means of simulations the performance of basic digital, analog, and mixed-signal circuits employing tunnel-FETs (TFETs). The analysis reviews and complements our previous papers on these topics. By considering the same devices for all the analysis, we are able to draw consistent conclusions for a wide variety of circuits. A virtual complementary TFET technology consisting of III-V heterojunction nanowires is considered. Technology Computer Aided Design (TCAD) models are calibrated against the results of advanced full-quantum simulation tools and then used to generate look-up-tables suited for circuit simulations. The virtual complementary TFET technology is benchmarked against predictive technology models (PTM) of complementary silicon FinFETs for the 10 nm node over a wide range of supply voltages (VDD) in the sub-threshold voltage domain considering the same footprint between the vertical TFETs and the lateral FinFETs and the same static power. In spite of the asymmetry between p- and n-type transistors, the results show clear advantages of TFET technology over FinFET for VDDlower than 0.4 V. Moreover, we highlight how differences in the I-V characteristics of FinFETs and TFETs suggest to adapt the circuit topologies used to implement basic digital and analog blocks with respect to the most common CMOS solutions

A 128Kb RAM Design with Capacitor-Based Offset Compensation and Double-Diode based Read Assist Circuits at Low VDD

788-793Low power static random access memory (SRAM) takes significant portion of area on chip in all modern SOCs and emerging Computing-in-memory applications for edge devices in IoT. This work proposes novel readability assist with the double-diode based word line under drive (WLUD) has been effective improving the read-static noise-margin (RSNM) by 26–46%and proposed a capacitor based current controlled sense amplifier offset compensation scheme. This scheme achieves 4X reduction in standard deviation of offset voltage over conventional sense amplifier design with 1.1% and 2.9% of area, power overheads respectively with 90 nm CMOS technology at 0.5–1.0 V supply voltages

A 128Kb RAM Design with Capacitor-Based Offset Compensation and Double-Diode based Read Assist Circuits at Low VDD

Low power static random access memory (SRAM) takes significant portion of area on chip in all modern SOCs and emerging Computing-in-memory applications for edge devices in IoT. This work proposes novel readability assist with the double-diode based word line under drive (WLUD) has been effective improving the read-static noise-margin (RSNM) by 26–46%and proposed a capacitor based current controlled sense amplifier offset compensation scheme. This scheme achieves 4X reduction in standard deviation of offset voltage over conventional sense amplifier design with 1.1% and 2.9% of area, power overheads respectively with 90 nm CMOS technology at 0.5–1.0 V supply voltages

Strain integration and performance optimization in sub-20nm FDSOI CMOS technology

La technologie CMOS à base de Silicium complètement déserté sur isolant (FDSOI) est considérée comme une option privilégiée pour les applications à faible consommation telles que les applications mobiles ou les objets connectés. Elle doit cela à son architecture garantissant un excellent comportement électrostatique des transistors ainsi qu'à l'intégration de canaux contraints améliorant la mobilité des porteurs. Ce travail de thèse explore des solutions innovantes en FDSOI pour nœuds 20nm et en deçà, comprenant l'ingénierie de la contrainte mécanique à travers des études sur les matériaux, les dispositifs, les procédés d'intégration et les dessins des circuits. Des simulations mécaniques, caractérisations physiques (µRaman), et intégrations expérimentales de canaux contraints (sSOI, SiGe) ou de procédés générant de la contrainte (nitrure, fluage de l'oxyde enterré) nous permettent d'apporter des recommandations pour la technologie et le dessin physique des transistors en FDSOI. Dans ce travail de thèse, nous avons étudié le transport dans les dispositifs à canal court, ce qui nous a amené à proposer une méthode originale pour extraire simultanément la mobilité des porteurs et la résistance d'accès. Nous mettons ainsi en évidence la sensibilité de la résistance d'accès à la contrainte que ce soit pour des transistors FDSOI ou nanofils. Nous mettons en évidence et modélisons la relaxation de la contrainte dans le SiGe apparaissant lors de la gravure des motifs et causant des effets géométriques (LLE) dans les technologies FDSOI avancées. Nous proposons des solutions de type dessin ainsi que des solutions technologiques afin d'améliorer la performance des cellules standard digitales et de mémoire vive statique (SRAM). En particulier, nous démontrons l'efficacité d'une isolation duale pour la gestion de la contrainte et l'extension de la capacité de polarisation arrière, qui un atout majeur de la technologie FDSOI. Enfin, la technologie 3D séquentielle rend possible la polarisation arrière en régime dynamique, à travers une co-optimisation dessin/technologie (DTCO).The Ultra-Thin Body and Buried oxide Fully Depleted Silicon On Insulator (UTBB FDSOI) CMOS technology has been demonstrated to be highly efficient for low power and low leakage applications such as mobile, internet of things or wearable. This is mainly due to the excellent electrostatics in the transistor and the successful integration of strained channel as a carrier mobility booster. This work explores scaling solutions of FDSOI for sub-20nm nodes, including innovative strain engineering, relying on material, device, process integration and circuit design layout studies. Thanks to mechanical simulations, physical characterizations and experimental integration of strained channels (sSOI, SiGe) and local stressors (nitride, oxide creeping, SiGe source/drain) into FDSOI CMOS transistors, we provide guidelines for technology and physical circuit design. In this PhD, we have in-depth studied the carrier transport in short devices, leading us to propose an original method to extract simultaneously the carrier mobility and the access resistance and to clearly evidence and extract the strain sensitivity of the access resistance, not only in FDSOI but also in strained nanowire transistors. Most of all, we evidence and model the patterning-induced SiGe strain relaxation, which is responsible for electrical Local Layout Effects (LLE) in advanced FDSOI transistors. Taking into account these geometrical effects observed at the nano-scale, we propose design and technology solutions to enhance Static Random Access Memory (SRAM) and digital standard cells performance and especially an original dual active isolation integration. Such a solution is not only stress-friendly but can also extend the powerful back-bias capability, which is a key differentiating feature of FDSOI. Eventually the 3D monolithic integration can also leverage planar Fully-Depleted devices by enabling dynamic back-bias owing to a Design/Technology Co-Optimization

Miniaturized Transistors

What is the future of CMOS? Sustaining increased transistor densities along the path of Moore's Law has become increasingly challenging with limited power budgets, interconnect bandwidths, and fabrication capabilities. In the last decade alone, transistors have undergone significant design makeovers; from planar transistors of ten years ago, technological advancements have accelerated to today's FinFETs, which hardly resemble their bulky ancestors. FinFETs could potentially take us to the 5-nm node, but what comes after it? From gate-all-around devices to single electron transistors and two-dimensional semiconductors, a torrent of research is being carried out in order to design the next transistor generation, engineer the optimal materials, improve the fabrication technology, and properly model future devices. We invite insight from investigators and scientists in the field to showcase their work in this Special Issue with research papers, short communications, and review articles that focus on trends in micro- and nanotechnology from fundamental research to applications

Caractérisation électrique et modélisation du transport dans matériaux et dispositifs SOI avancés

This thesis is dedicated to the electrical characterization and transport modeling in advanced SOImaterials and devices for ultimate micro-nano-electronics. SOI technology is an efficient solution tothe technical challenges facing further downscaling and integration. Our goal was to developappropriate characterization methods and determine the key parameters. Firstly, the conventionalpseudo-MOSFET characterization was extended to heavily-doped SOI wafers and an adapted modelfor parameters extraction was proposed. We developed a nondestructive electrical method to estimatethe quality of bonding interface in metal-bonded wafers for 3D integration. In ultra-thin fully-depletedSOI MOSFETs, we evidenced the parasitic bipolar effect induced by band-to-band tunneling, andproposed new methods to extract the bipolar gain. We investigated multiple-gate transistors byfocusing on the coupling effect in inversion-mode vertical double-gate SOI FinFETs. An analyticalmodel was proposed and subsequently adapted to the full depletion region of junctionless SOI FinFETs.We also proposed a compact model of carrier profile and adequate parameter extraction techniques forjunctionless nanowires.Cette thèse est consacrée à la caractérisation et la modélisation du transport électronique dans des matériaux et dispositifs SOI avancés pour la microélectronique. Tous les matériaux innovants étudiés(ex: SOI fortement dopé, plaques obtenues par collage etc.) et les dispositifs SOI sont des solutions possibles aux défis technologiques liés à la réduction de taille et à l'intégration. Dans ce contexte,l'extraction des paramètres électriques clés, comme la mobilité, la tension de seuil et les courants de fuite est importante. Tout d'abord, la caractérisation classique pseudo-MOSFET a été étendue aux plaques SOI fortement dopées et un modèle adapté pour l'extraction de paramètres a été proposé. Nous avons également développé une méthode électrique pour estimer la qualité de l'interface de collage pour des plaquettes métalliques. Nous avons montré l'effet bipolaire parasite dans des MOSFET SOI totalement désertés. Il est induit par l’effet tunnel bande-à-bande et peut être entièrement supprimé par une polarisation arrière. Sur cette base, une nouvelle méthode a été développée pour extraire le gain bipolaire. Enfin, nous avons étudié l'effet de couplage dans le FinFET SOI double grille, en mode d’inversion. Un modèle analytique a été proposé et a été ensuite adapté aux FinFETs sans jonction(junctionless). Nous avons mis au point un modèle compact pour le profil des porteurs et des techniques d’extraction de paramètres