Etude de la variabilité en technologie FDSOI : du transistor aux cellules mémoires SRAM

The scaling of bulk MOSFETs transistors is facing various difficulties at the nanometer era. The variability of the electrical characteristics becomes a major challenge which increases as the device dimensions are scaled down. Fully-Depleted Silicon On Insulator (FDSOI) technology, developed as an alternative to bulk transistors, exhibits a better electrostatic immunity which enables higher performances. Moreover, the reduction of the Random Dopant Fluctuation allows excellent variability immunity for the FDSOI technology due to its undoped channel. It leads to a yield enhancement and a reduction of the minimum supply voltage of SRAM circuits. The variability has been analyzed deeply during this thesis in this technology, both on the threshold voltage (VT) and on the ON-state current (ISAT). The correlation between the electrical characteristics of MOSFETs devices (i.e., the threshold voltage and the standard deviation σVT) and SRAM cells (i.e., the SNM and σSNM) has been investigated thanks to an extensive experimental study and modeling. This purpose of this thesis is also to analyze the specific FDSOI variability source: silicon thickness fluctuations. An analytical model has been developed in order to quantify the impact of local TSi variations on the VT variability for 28 and 20nm technology nodes, as well as on a 200Mb SRAM array. This model also enables to evaluate the silicon thickness mean (µTsi) and standard deviation (σTsi) specifications for next technology nodes.La miniaturisation des transistors MOSFETs sur silicium massif présente de nombreux enjeux en raison de l'apparition de phénomènes parasites. Notamment, la réduction de la surface des dispositifs entraîne une dégradation de la variabilité de leurs caractéristiques électriques. La technologie planaire totalement désertée, appelée communément FDSOI (pour Fully Depleted Silicon on Insulator), permet d'améliorer le contrôle électrostatique de la grille sur le canal de conduction et par conséquent d'optimiser les performances. De plus, de par la présence d'un canal non dopé, il est possible de réduire efficacement la variabilité de la tension de seuil des transistors. Cela se traduit par un meilleur rendement et par une diminution de la tension minimale d'alimentation des circuits SRAM (pour Static Random Access Memory). Une étude détaillée de la variabilité intrinsèque à cette technologie a été réalisée durant ce travail de recherche, aussi bien sur la tension de seuil (VT) que sur le courant de drain à l'état passant (ISAT). De plus, le lien existant entre la fluctuation des caractéristiques électriques des transistors et des circuits SRAM a été expérimentalement analysé en détail. Une large partie de cette thèse est enfin dédiée à l'investigation de la source de variabilité spécifique à la technologie FDSOI : les fluctuations de l'épaisseur du film de silicium. Un modèle analytique a été développé durant cette thèse afin d'étudier l'influence des fluctuations locales de TSi sur la variabilité de la tension de seuil des transistors pour les nœuds technologiques 28 et 20nm, ainsi que sur un circuit SRAM de 200Mb. Ce modèle a également pour but de fournir des spécifications en termes d'uniformité σTsi et d'épaisseur moyenne µTsi du film de silicium pour les prochains nœuds technologiques

Optimisation de dispositifs FDSOI pour la gestion de la consommation et de la vitesse (application aux mémoires et fonctions logiques)

Avec la percée des téléphones portables et des tablettes numériques intégrant des fonctions avancées de traitement de l'information, une croissance exponentielle du marché des systèmes sur puce (SoC pour System On Chip en anglais) est attendue jusqu'en 2016. Ces systèmes, conçus dans les dernières technologies nanométriques, nécessitent des vitesses de fonctionnement très élevées pour offrir des performances incroyables, tout en consommant remarquablement peu. Cependant, concevoir de tels systèmes à l'échelle nanométrique présente de nombreux enjeux en raison de l'accentuation d'effets parasites avec la miniaturisation des transistors MOS sur silicium massif, rendant les circuits plus sensibles aux phénomènes de fluctuations des procédés de fabrication et moins efficaces énergétiquement. La technologie planaire complètement désertée (FD pour Fully depleted en anglais) SOI, offrant un meilleur contrôle du canal du transistor et une faible variabilité de sa tension de seuil grâce à un film de silicium mince et non dopé, apparaît comme une solution technologique très bien adaptée pour répondre aux besoins de ces dispositifs nomades alliant hautes performances et basse consommation. Cependant pour que cette technologie soit viable, il est impératif qu'elle réponde aux besoins des plateformes de conception basse consommation. Un des défis majeurs de l'état de l'art de la technologie planaire FDSOI est de fournir les différentes tensions de seuils (VT) requises pour la gestion de la consommation et de la vitesse. Le travail de recherche de thèse présenté dans ce mémoire a contribué à la mise en place d'une plateforme de conception multi-VT en technologie planaire FDSOI sur oxyde enterré mince (UTB pour Ultra Thin Buried oxide en anglais) pour les nœuds technologiques sub-32 nm. Pour cela, les éléments clefs des plateformes de conception basse consommation en technologie planaire sur silicium massif ont été identifiés. A la suite de cette analyse, différentes architectures de transistors MOS multi-VT FDSOI ont été développées. L'analyse au niveau des circuits numériques et mémoires élémentaires a permis de mettre en avant deux solutions fiables, efficaces et de faible complexité technologique. Les performances des solutions apportées ont été évaluées sur un chemin critique extrait du cœur de processeur ARM Cortex A9 et sur une cellule SRAM 6T haute densité (0,120 m ). Egalement, une cellule SRAM à quatre transistors est proposée, démontrant la flexibilité au niveau conception des solutions proposées. Ce travail de recherche a donné lieu à de nombreuses publications, communications et brevets. Aujourd'hui, la majorité des résultats obtenus ont été transférés chez STMicroelectronics, où l'étude de leur industrialisation est en cours.Driven by the strong growth of smartphone and tablet devices, an exponential growth for the mobile SoC market is forecasted up to 2016. These systems, designed in the latest nanometre technology, require very high speeds to deliver tremendous performances, while consuming remarkably little. However, designing such systems at the nanometre scale introduces many challenges due to the emphasis of parasitic phenomenon effects driven by the scaling of bulk MOSFETs, making circuits more sensitive to the manufacturing process fluctuations and less energy efficient. Undoped thin-film planar fully depleted silicon-on-insulator (FDSOI) devices are being investigated as an alternative to bulk devices in 28nm node and beyond, thanks to its excellent short-channel electrostatic control, low leakage currents and immunity to random dopant fluctuation. This compelling technology appears to meet the needs of nomadic devices, combining high performance and low power consumption. However, to be useful, it is essential that this technology is compatible with low operating power design platforms. A major challenge for this technology is to provide various device threshold voltages (VT), trading off power consumption and speed. The research work presented in this thesis has contributed to the development of a multi-VT design platform in FDSOI planar technology on thin buried oxide (UTB) for the 28nm and below technology nodes. In this framework, the key elements of the low power design platform in bulk planar technology have been studied. Based on this analysis, different architectures of FDSOI multi-VT MOSFETs have been developed. The analysis on the layout of elementary circuits, such as standard cells and SRAM cells, has put forward two reliable, efficient and low technological complexity multi- strategies. Finally, the performances of these solutions have been evaluated on a critical path extracted from the ARM Cortex A9 processor and a high-density 6T SRAM cell (0.120 m ). Also, an SRAM cell with four transistors has been proposed, highlighting the design flexibility brought by these solutions. This thesis has resulted in many publications, communications and patents. Today, the majority of the results obtained have been transferred to STMicroelectronics, where the industrialization is in progress.SAVOIE-SCD - Bib.électronique (730659901) / SudocGRENOBLE1/INP-Bib.électronique (384210012) / SudocGRENOBLE2/3-Bib.électronique (384219901) / SudocSudocFranceF

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

Novel High Performance Ultra Low Power Static Random Access Memories (SRAMs) Based on Next Generation Technologies

Title from PDF of title page viewed January 27, 2021Dissertation advisor: Masud H. ChowdhuryVitaIncludes bibliographical references (page 107-120)Thesis (Ph.D.)--School of Computing and Engineering. University of Missouri--Kansas City, 2019Next Big Thing Is Surely Small: Nanotechnology Can Bring Revolution. Nanotechnology leads the world towards many new applications in various fields of computing, communication, defense, entertainment, medical, renewable energy and environment. These nanotechnology applications require an energy-efficient memory system to compute and process. Among all the memories, Static Random Access Memories (SRAMs) are high performance memories and occupies more than 50% of any design area. Therefore, it is critical to design high performance and energy-efficient SRAM design. Ultra low power and high speed applications require a new generation memory capable of operating at low power as well as low execution time. In this thesis, a novel 8T SRAM design is proposed that offers significantly faster access time and lowers energy consumption along with better read stability and write ability. The proposed design can be used in the conventional SRAM as well as in computationally intensive applications like neural networks and machine learning classifiers [1]-[4]. Novel 8T SRAM design offers higher energy efficiency, reliability, robustness and performance compared to the standard 6T and other existing 8T and 9T designs. It offers the advantages of a 10T SRAM without the additional area, delay and power overheads of the 10T SRAM. The proposed 8T SRAM would be able to overcome many other limitations of the conventional 6T and other 7T, 8T and 9T designs. The design employs single bitline for the write operation, therefore the number of write drivers are reduced. The defining feature of the proposed 8T SRAM is its hybrid design, which is the combination of two techniques: (i) the utilization of single-ended bitline and (ii) the utilization of virtual ground. The single-ended bitline technique ensures separate read and write operations, which eventually reduces the delay and power consumption during the read and write operations. It's independent read and write paths allow the use of the minimum sized access transistors and aid in a disturb-free read operation. The virtual ground weakens the positive feedback in the SRAM cell and improves its write ability. The virtual ground technique is also used to reduce leakages. The proposed design does not require precharging the bitlines for the read operation, which reduces the area and power overheads of the memory system by eliminating the precharging circuit. The design isolates the storage node from the read path, which improves the read stability. For reliability study, we have investigated the static noise margin (SNM) of the proposed 8T SRAM, for which, we have used two methods – (i) the traditional SNM method with the butterfly curve, (ii) the N-curve method A comparative analysis is performed between the proposed and the existing SRAM designs in terms of area, total power consumption during the read and write operations, and stability and reliability. All these advantages make the proposed 8T SRAM design an ideal candidate for the conventional and computationally intensive applications like machine learning classifier and deep learning neural network. In addition to this, there is need for next generation technologies to design SRAM memory because the conventional CMOS technology is approaching its physical and performance boundaries and as a consequence, becoming incompatible with ultra-low-power applications. Emerging devices such as Tunnel Field Effect Transistor (TFET)) and Graphene Nanoribbon Field Effect Transistor (GNRFET) devices are highly potential candidates to overcome the limitations of MOSFET because of their ability to achieve subthreshold slopes below 60 mV/decade and very low leakage currents [6]-[9]. This research also explores novel TFET and GNRFET based 6T SRAM. The thesis evaluates the standby leakage power in the Tunnel FET (TFET) based 6T SRAM cell for different pull-up, pull-down, and pass-gate transistors ratios (PU: PD: PG) and compared to 10nm FinFET based 6T SRAM designs. It is observed that the 10nm TFET based SRAMs have 107.57%, 163.64%, and 140.44% less standby leakage power compared to the 10nm FinFET based SRAMs when the PU: PD: PG ratios are 1:1:1, 1:5:2 and 2:5:2, respectively. The thesis also presents an analysis of the stability and reliability of sub-10nm TFET based 6T SRAM circuit with a reduced supply voltage of 500mV. The static noise margin (SNM), which is a critical measure of SRAM stability and reliability, is determined for hold, read and write operations of the 6T TFET SRAM cell. The robustness of the optimized TFET based 6T SRAM circuit is also evaluated at different supply voltages. Simulations were done in HSPICE and Cadence tools. From the analysis, it is clear that the main advantage of the TFET based SRAM would be the significant improvement in terms of leakage or standby power consumption. Compared to the FinFET based SRAM the standby leakage power of the T-SRAMs are 107.57%, 163.64%, and 140.44% less for 1:1:1, 1:5:2 and 2:5:2 configurations, respectively. Since leakage/standby power is the primary source of power consumption in the SRAM, and the overall system energy efficiency depends on SRAM power consumption, TFET based SRAM would lead to massive improvement of the energy efficiency of the system. Therefore, T-SRAMs are more suitable for ultra-low power applications. In addition to this, the thesis evaluates the standby leakage power of types of Graphene Nanoribbon FETs based 6T SRAM bitcell and compared to 10nm FinFET based 6T SRAM bitcell. It is observed that the 10nm MOS type GNRFET based SRAMs have 16.43 times less standby leakage power compared to the 10nm FinFET based SRAMs. The double gate SB-GNRFET based SRAM consumes 1.35E+03 times less energy compared to the 10nm FinFET based SRAM during write. However, during read double gate SB-GNRFET based SRAM consume 15 times more energy than FinFET based SRAM. It is also observed that GNRFET based SRAMs are more stable and reliable than FinFET based SRAM.Introduction -- Background -- Novel High Performance Ultra Low Power SRAM Design -- Tunnel FET Based SRAM Design -- Graphene Nanoribbon FET Based SRAM Design -- Double-gate FDSOI Based SRAM Designs -- Novel CNTFET and MEMRISTOR Based Digital Designs -- Conclusio

Characterization of 28 nm FDSOI MOS and application to the design of a low-power 2.4 GHz LNA

IoT is expected to connect billions of devices all over world in the next years, and in a near future, it is expected to use LR-WPAN in a wide variety of applications. Not all the devices will require of high performance but will require of low power hungry systems since most of them will be powered with a battery. Conventional CMOS technologies cannot cover these needs even scaling it to very small regimes, which appear other problems. Hence, new technologies are emerging to cover the needs of this devices. One promising technology is the UTBB FDSOI, which achieves good performance with very good energy efficiency. This project characterizes this technology to obtain a set of parameters of interest for analog/RF design. Finally, with the help of a low-power design methodology (gm/Id approach), a design of an ULP ULV LNA is performed to check the suitability of this technology for IoT

Développement de modèles pour l'évaluation des performances circuit des technologies CMOS avancées sub-20nm

Depuis la commercialisation du premier circuit intégré en 1971, l'industrie de la microélectronique s'est fixée comme leitmotiv de réduire les dimensions des transistors MOSFETs, en suivant la loi de Moore. Comme indiqué par Dennard, cette miniaturisation améliore automatiquement les performances des transistors. A partir des nœuds 28-22nm, les effets canaux courts sont trop difficiles à contrôler et de nouvelles architectures de transistors sont introduites: FDSOI pour STMicroelectronics, Trigate pour Intel. Dans ce contexte, l'évaluation des performances des technologies CMOS est clé et les travaux de cette thèse proposent de les évaluer au niveau circuit. Des modèles spécifiques d'estimation des paramètres électrostatiques et des capacités parasites sont développés. Ceux-ci sont d'abord utilisés sur des technologies amonts (co-intégration III-V/Ge et intégration 3D) puis sont implémentés en VerilogA pour être utilisés avec les outils conventionnel de CAO. Ceci fournit un modèle compact prédictif et utilisable pour toutes les architectures CMOS, qui est utilisé pour évaluer les performances logiques et SRAM des architectures BULK, FDSOI et Trigate aux nœuds 20nm et 16nm.Since the commercialization of the first integrated circuit in 1971, the microelectronic industry has fixed as an objective to reduce MOSFET transistor dimensions, following Moore's law. As indicated by Dennard, this miniaturization automatically improves device performances. Starting from the 28-22nm technological nodes, short channel effects are to strong and industrial companies choose to introduce new device structure: FDSOI for STMicroelectronics and Trigate for Intel. In such a context, CMOS technology performance evaluation is key and this thesis proposes to evaluate them at circuit level. Specific models for electrostatic parameters and parasitic capacitances for each device structure are developed for each device structure. Those models have first been used to evaluate performances of advanced technologies, such as III-V/Ge co-integration and 3D monolithic integration and have then been implemented in VerilogA to ensure compatibility with conventional CAD tools such as ELDO. This provides a compact model, predictive and usable for each device structure, which has been used to evaluated logic and SRAM performances of BULK, FDSOI and Trigate devices for the 20nm and 16nm technology node.SAVOIE-SCD - Bib.électronique (730659901) / SudocGRENOBLE1/INP-Bib.électronique (384210012) / SudocGRENOBLE2/3-Bib.électronique (384219901) / SudocSudocFranceF

Double-gate single electron transistor : modeling, design & evaluation of logic architectures

Dans les années à venir, l'industrie de la microélectronique doit développer de nouvelles filières technologiques qui pourront devenir des successeurs ou des compléments de la technologie CMOS ultime. Parmi ces technologies émergentes relevant du domaine « Beyond CMOS », ce travail de recherche porte sur les transistors mono-électroniques (SET) dont le fonctionnement est basé sur la quantification de la charge électrique, le transport quantique et la répulsion Coulombienne. Les SETs doivent être étudiés à trois niveaux : composants, circuits et système. Ces nouveaux composants, utilisent à leur profit le phénomène dit de blocage de Coulomb permettant le transit des électrons de manière séquentielle, afin de contrôler très précisément le courant véhiculé. En effet, l'émergence du caractère granulaire de la charge électrique dans le transport des électrons par effet tunnel, permet d'envisager la réalisation de remplaçants potentiels des transistors ou de cellules mémoire à haute densité d'intégration, basse consommation. L'objectif principal de ce travail de thèse est d'explorer et d'évaluer le potentiel des transistors mono-électroniques double-grille métalliques (DG-SETs) pour les circuits logiques numériques. De ce fait, les travaux de recherches proposés sont divisés en trois parties : i) le développement des outils de simulation et tout particulièrement un modèle analytique de DG-SET ; ii) la conception de circuits numériques à base de DG-SETs dans une approche « cellules standards » ; et iii) l'exploration d'architectures logiques versatiles à base de DG-SETs en exploitant la double-grille du dispositif. Un modèle analytique pour les DG-SETs métalliques fonctionnant à température ambiante et au-delà est présenté. Ce modèle est basé sur des paramètres physiques et géométriques et implémenté en langage Verilog-A. Il est utilisable pour la conception de circuits analogiques ou numériques hybrides SET-CMOS. A l'aide de cet outil, nous avons conçu, simulé et évalué les performances de circuits logiques à base de DG-SETs afin de mettre en avant leur utilisation dans les futurs circuits ULSI. Une bibliothèque de cellules logiques, à base de DG-SETs, fonctionnant à haute température est présentée. Des résultats remarquables ont été atteints notamment en termes de consommation d'énergie. De plus, des architectures logiques telles que les blocs élémentaires pour le calcul (ALU, SRAM, etc.) ont été conçues entièrement à base de DG-SETs. La flexibilité offerte par la seconde grille du DG-SET a permis de concevoir une nouvelle famille de circuits logiques flexibles à base de portes de transmission. Une réduction du nombre de transistors par fonction et de consommation a été atteinte. Enfin, des analyses Monte-Carlo sont abordées afin de déterminer la robustesse des circuits logiques conçus à l'égard des dispersions technologiques

Sub-10nm Transistors for Low Power Computing: Tunnel FETs and Negative Capacitance FETs

One of the major roadblocks in the continued scaling of standard CMOS technology is its alarmingly high leakage power consumption. Although circuit and system level methods can be employed to reduce power, the fundamental limit in the overall energy efficiency of a system is still rooted in the MOSFET operating principle: an injection of thermally distributed carriers, which does not allow subthreshold swing (SS) lower than 60mV/dec at room temperature. Recently, a new class of steep-slope devices like Tunnel FETs (TFETs) and Negative-Capacitance FETs (NCFETs) have garnered intense interest due to their ability to surpass the 60mV/dec limit on SS at room temperature. The focus of this research is on the simulation and design of TFETs and NCFETs for ultra-low power logic and memory applications. Using full band quantum mechanical model within the Non-Equilibrium Greens Function (NEGF) formalism, source-underlapping has been proposed as an effective technique to lower the SS in GaSb-InAs TFETs. Band-tail states, associated with heavy source doping, are shown to significantly degrade the SS in TFETs from their ideal value. To solve this problem, undoped source GaSb-InAs TFET in an i-i-n configuration is proposed. A detailed circuit-to-system level evaluation is performed to investigate the circuit level metrics of the proposed devices. To demonstrate their potential in a memory application, a 4T gain cell (GC) is proposed, which utilizes the low-leakage and enhanced drain capacitance of TFETs to realize a robust and long retention time GC embedded-DRAMs. The device/circuit/system level evaluation of proposed TFETs demonstrates their potential for low power digital applications. The second part of the thesis focuses on the design space exploration of hysteresis-free Negative Capacitance FETs (NCFETs). A cross-architecture analysis using HfZrOx ferroelectric (FE-HZO) integrated on bulk MOSFET, fully-depleted SOI-FETs, and sub-10nm FinFETs shows that FDSOI and FinFET configurations greatly benefit the NCFET performance due to their undoped body and improved gate-control which enables better capacitance matching with the ferroelectric. A low voltage NC-FinFET operating down to 0.25V is predicted using ultra-thin 3nm FE-HZO. Next, we propose one-transistor ferroelectric NOR type (Fe-NOR) non-volatile memory based on HfZrOx ferroelectric FETs (FeFETs). The enhanced drain-channel coupling in ultrashort channel FeFETs is utilized to dynamically modulate memory window of storage cells thereby resulting in simple erase-, program-and read-operations. The simulation analysis predicts sub-1V program/erase voltages in the proposed Fe-NOR memory array and therefore presents a significantly lower power alternative to conventional FeRAM and NOR flash memories

An Ultra Low-Power Programmable Voltage Reference for Power-Constrained Electronic Systems

This paper proposes a novel architecture for the generation of a programmable voltage reference: the background- calibrated (BC)-PVR. Our mixed-signal architecture periodically calibrates a static ultra low-power voltage reference generator, from an accurate bandgap reference. The portion of the chip used for the calibration can be powered down with a programmable duty-cycle. The system aims to fully exploit the small temperature derivative vs time DT of several application domains to minimize the average current consumption. The BC-PVR has been designed and implemented in TSMC 55-nm CMOS technology, and it achieves the largest reported programming reference output ◦range [0.42 - 2.52] V, over the temperature range [-20 , 85] C. The duty-cycle mode allows nanoampere current consumption, and the large design flexibility permits to optimize the system performance for the specific application. These features make the BC-PVR very well-suited for power-constrained electronic systems