Master of Science / Department of Electrical and Computer Engineering / William B. Kuhn / A technique for measuring and characterizing transistor noise is presented. The primary goal of the measurements is to locate the 1/f noise corner for select transistors in Silicon-on-Sapphire processes. Additionally, the magnitude of the background channel noise of each transistor is measured. With this data, integrated circuit (IC) engineers will have a qualitative and quantitative resource for selecting transistors in designs with low noise requirements. During tests, transistor noise behavioral change is investigated over varying channel lengths, device type (N-type and P-type), threshold voltage, and bias voltage levels. Noise improvements for increased channel lengths from minimal, 1.0μm, and 4.0μm are measured. Transistors with medium and high threshold voltages are tested for comparison of their noise performance. The bias voltages are chosen to represent typical design values used in practice, with approximately 400 mV overdrive and a drain-to-source voltage range of 0.5 to 3.0V. The transistors subjected to tests are custom designed in Peregrine’s 0.5μm (FC) and 0.25μm (GC) Silicon-on-Sapphire (SOS) processes. In order to allow channel current noise to dominate over other circuit noise, the transistors have extraordinarily large aspect ratios (~2500 - 5000). The transistor noise produced is amplified and measured over a frequency range of 1kHz - 100MHz. This range allows the measurement of each device’s low and high frequency noise spectrum and resulting noise corner.

La réduction des dimensions des dispositifs CMOS (Complementary Metal Oxide Semiconductor) implique de nombreux défis dans la formation de jonctions. La recroissance par épitaxie en phase solide (SPER) à des températures inférieures à 600 °C est une technique attrayante dans la mesure où elle permet de réaliser des jonctions abruptes avec une forte concentration de dopants actifs et qui sont nécessaires pour les nœuds avancés tels que le 20 nm et au-delà. Dans ce manuscrit, on présente un modèle atomistique basé sur la méthode Monte-Carlo cinétique sur réseau (LKMC) afin de simuler la cinétique de SPER dans le silicium. Le modèle s'appuie sur la description phénoménologique des mécanismes microscopiques de recristallisation proposé par Drosd et Washburn dans [J. Appl. Phys. 53, 397 (1982)] en distinguant des événements {100}, {110} et {111} selon le plan local de recroissance et a été implémenté dans le simulateur MMonCa [Appl. Phys. Lett. 98, 233109 (2011)]. Il s'agit de la même base que le modèle de Martín-Bragado et Moroz [Appl. Phys. Lett. 95, 123123 (2009)] qui a été implémenté dans le simulateur commercial Synopsys SProcess KMC. Néanmoins, dans notre travail, la formation de macles lors des évènements {111} a été introduite ce qui a nécessité des changements importants dans l'implémentation. Le modèle a été calibré sur des résultats expérimentaux et permet de prédire l'anisotropie et la dépendance en température. En particulier, il a été utilisé afin d'expliquer la formation de zones défectueuses dans les dispositifs FDSOI à l'issue de la SPER à une température réduite. Le modèle LKMC a, en outre, été étendu dans le but d'inclure l'influence d'une contrainte non-hydrostatique et la recroissance accélérée du fait de la présence de dopants actifs. Les effets d'une contrainte non-hydrostatique ont été introduits en utilisant le concept de tenseur d'activation proposé par Aziz, Sabin et Lu dans [Phys. Rev. B 44, 9812 (1991)] et seulement quatre paramètres indépendants sont nécessaires. La présence de dopants ionisés cause une accélération de la vitesse de recroissance qui est attribué à un effet lié à la position du niveau de Fermi à l'interface amorphe/cristal. Un solveur 3D auto-cohérent de l'équation de Poisson avec le modèle de Thomas-Fermi a été implémenté et couplé avec le modèle LKMC afin de prendre en compte la courbure des bandes à l'interface amorphe/cristal. La correction phénoménologique de décalage du niveau de Fermi généralisé (GFLS) proposée par Williams et Elliman dans [Phys. Rev. Lett. 51, 1069 (1983)] a été utilisée pour modifier les fréquences de recristallisation des évènements microscopiques. Des simulations de la vitesse de recroissance en fonction de la température pour différentes concentrations de dopants ont montré un bon accord avec les données expérimentales. En résumé, dans ce manuscrit, un modèle unifié de SPER basé sur une approche LKMC est présentée. Il prend en compte l'influence de différents paramètres sur la cinétique de recroissance et ayant un intérêt technologique tels que la température, l'orientation cristalline, la contrainte et la présence de dopants. Le modèle est, en soi, tridimensionnel et permet donc d'explorer les phénomènes de recroissance impliquant plusieurs fronts de recristallisation et qui ont lieu lors du procédé de fabrication de dispositifs électroniques réels. / Complementary metal oxide semiconductor (CMOS) device scaling involves many technologicalchallenges in terms of junction formation. Solid phase epitaxial regrowth (SPER) at temperaturesbelow 600 ˝C is an attractive technique since it enables to form highly–activated andabrupt junctions that are required for advanced technology nodes such as 20 nm and beyond.In this manuscript, we present a comprehensive atomistic model relying on the lattice KineticMonte Carlo (LKMC) method to simulate SPER kinetics in silicon. The model is based onthe phenomenological description of the microscopic recrystallization mechanisms proposedby Drosd and Washburn in [J. Appl. Phys. 53, 397 (1982)] by distinguishing among {100},{110} and {111} events depending on the local regrowth plane and has been implemented inthe MMonCa simulator [Appl. Phys. Lett. 98, 233109 (2011)]. This is the same basis than theatomistic model of Martín–Bragado and Moroz proposed in [Appl. Phys. Lett. 95, 123123(2009)] and available in the Synopsys SProcess KMC commercial tool. Nevertheless, in ourwork the formation of twin configurations during {111} events has been incorporated givingrise to significant changes in the implementation. The model has been calibrated on single–directional SPER experiments and allows predicting the regrowth anisotropy and temperaturedependence. In particular, it has been used to explain the formation of defective regions inFDSOI devices annealed with a low processing temperature. In this work, the LKMC modelhas also been extended in order to include the influence of non–hystrostatic stress and dopant–enhanced regrowth that are technologically relevant. Non–hydrostatic stress effects have beenincorporated using the concept of activation strain tensor introduced by Aziz, Sabin and Luin [Phys. Rev. B 44, 9812 (1991)] and only four independent parameters are required. Thepresence of ionized dopants has been shown to cause an enhancement of the regrowth velocitywhich has been attributed to a Fermi level effect. A three–dimensional Thomas–Fermi–Poisson solver has been implemented and coupled with the LKMC model allowing to takeinto account the band bending at amorphous/crystalline interface. The phenomenological generalizedFermi level shifting (GFLS) correction proposed by Williams and Elliman in [Phys.Rev. Lett. 51, 1069 (1983)] has been used to modify the microscopic recrystallization rates.Simulations of the regrowth velocity as a function of temperature for different dopant concentrationshave shown a reasonable agreement with experimental data. In summary, in thismanuscript a unified SPER model relying on the LKMC approach is presented. It takes intoaccount various technologically relevant parameters influencing the regrowth kinetics such astemperature, crystalline orientation, stress and dopants. The model is per se three-dimensionaland can therefore be used to explore multi–directional regrowth phenomena that take place inreal electronic devices.

Este trabalho mostra a comparação dos efeitos das falhas provocadas pelos Single-Event Effects em dispositivos 28nm FDSOI, 28nm FDSOI High-K e 32nm Bulk CMOS e células de memória 6T SRAM feitas com estes dispositivos. Para conseguir isso, foram usadas ferramentas TCAD para simular falhas transientes devido a impacto de íons pesados a nível dispositivo e nível circuito. As simulações neste ambiente tem como vantagem a simulação dos fatos e mecanismos que produz as falhas transientes e seus efeitos nos dispositivos, além de também servir para projetar virtualmente estes dispositivos e caraterizar eles para estas simulações. Neste caso, foram projetados três dispositivos para simulação: um transistor NMOS de 32nm Bulk, um transistor NMOS de 28nm FDSOI e um transistor NMOS de 28nm FDSOI High-K para fazer comparações entre eles. Estes dispositivos foram projetados, caraterizados e testados contra o impacto de íons pesados a níveis dispositivo e circuito. Como resultado obtido, transistor Bulk de 32nm teve, no pior caso, uma carga coletada de 7.57 e 7.19 vezes maior que a carga coletada pelo dispositivo FDSOI de 28nm e FDSOI High-K de 28nm respectivamente atingido pelo mesmo íon pesado de 100MeV-cm2/mg. Com estes dados foi possível modelar o comportamento da carga coletada de ambos dispositivos usando este íon pesado, atingindo os terminais de Fonte e Dreno em distintos lugares e ângulos. Usando a mesma ferramenta e os dados obtidos de carga coletada pelos testes anteriores, foram projetadas células de memória SRAM de 6 transistores. Isso foi para testar elas contra os efeitos do impacto de íons pesados nos transistores NMOS de armazenagem da dados. Neste caso, a Transferência Linear de Energia (LET) do íon necessária para fazer que o dado armazenado na SRAM Bulk mude é 12.8 vezes maior que no caso da SRAM FDSOI e 10 maior no caso da SRAM FDSOI High-K, embora a quantidade de carga coletada necessária para que o dado mude em ambas células seja quase a mesma. Com estes dados foi possível modelar os efeitos dos íons pesados em ambos circuitos, descobrir a Carga Crítica destes e qual é o mínimo LET necessário para que o dado armazenado nestas SRAMs mude. / This work shows a comparison of faults due to Single-Event Effects in 28nm Fully Depleted SOI (FDSOI), 28nm FDSOI High-K and 32nm Bulk CMOS devices, and in 6T SRAM memory cells made with these devices. To provide this, was used TCAD tools to simulate transient faults due to heavy ion impacts on device and circuit levels. The simulations in that environment have the advantage to simulate the facts and mechanisms which produce the transient faults and this effects on the electronic devices, it also allow to simulate the virtual device fabrication and to characterize them. In this case, two devices were created for the simulations: a 32nm Bulk NMOS transistor and a 28nm FDSOI NMOS transistor for compare them. These devices were created, characterized and tested against heavy ion impacts at device and circuit levels. The results show that 32nm Bulk transistor has, in the worst case, a collected charge 7.57 and 7.19 times greater than the 28nm FDSOI and 28nm FDSOI High-K respectively collected charge with the same 100MeV-cm2/mg heavy ion. With these data it was possible to model the behavior of the collected charge in both devices with the same heavy-ion, reach the Source and Drain Terminal in different places and angles. Using the same tools and the obtained collected charge data of previous simulations, it was designed 6 transistors SRAM Memory Cells. That is done to test these circuits against the heavy ion effects on the data-storage NMOS transistor. In this case, the necessary Ion Linear Energy Transfer (LET) to flip the Bulk SRAM is 12.8 greater than the FDSOI SRAM and 10 times greater than the FDSOI High- K SRAM case, although the amount of charge to flip the cells is almost the same in both cases. With these data it was possible to model the heavy-ion effects in both circuits, discover the Critical Charge of them and the minimum LET to flips these SRAMs.

Durant les 5 dernières décennies, les technologies CMOS se sont imposées comme méthode de fabrication principale pour les circuits semi-conducteurs intégrés avec notamment le transistor MOSFET. Néanmoins, la miniaturisation de ces transistors en technologie CMOS sur substrat massif atteint ses limites et a donc été arrêtée. Les filières FDSOI apparaissent comme une excellente alternative permettant une faible consommation et une excellente maîtrise des effets électrostatiques dans les transistors MOS, même pour les nœuds technologiques 14 et 28 nm. Cependant, la pente sous le seuil (60 mV/décade) du MOSFET ne peut pas être améliorée, ce qui limite la réduction de la tension d’alimentation. Cette restriction a motivé la recherche de composants innovants pouvant offrir des déclenchements abrupts tels que le Z2-FET (Zéro pente sous le seuil et Zéro ionisation par impact), Z2-FET DGP (avec double Ground Plane) et Z3-FET (Zéro grille avant). Grace à leurs caractéristiques intéressantes (déclenchement abrupte, faible courant de fuite, tension de déclenchement ajustable, rapport de courant ION/IOFF élevé), les dispositifs à modulation de bandes peuvent être utilisés dans différentes applications. Dans ce travail, nous nous sommes concentrés sur la protection contre les décharges électrostatiques (ESD), la mémoire DRAM embarquée sans capacité de stockage, et les interrupteurs logiques. L’étude des mécanismes statique et transitoire ainsi que des performances de ces composants a été réalisée grâce à des simulations TCAD détaillées, validées systématiquement par des résultats expérimentaux. Un modèle de potentiel de surface pour les trois dispositifs est également fourni. / During the past 5 decades, Complementary Metal Oxide Semiconductor (CMOS) technology was the dominant fabrication method for semiconductor integrated circuits where Metal Oxide Semiconductor Field Effect Transistor (MOSFET) was and still is the central component. Nonetheless, the continued physical downscaling of these transistors in CMOS bulk technology is suffering limitations and has been stopped nowadays. Fully Depleted Silicon-On-Insulator (FDSOI) technology appears as an excellent alternative that offers low-power consumption and improved electrostatic control for MOS transistors even in very advanced nodes (14 nm and 28 nm). However, the 60 mV/decade subthreshold slope of MOSFET is still unbreakable which limits the supply voltage reduction. This motivated us to explore alternative devices with sharp-switching: Z2-FET (Zero subthreshold slope and Zero impact ionization), Z2-FET DGP (with Dual Ground Planes) and Z3-FET (Zero front-gate). Thanks to their attractive characteristics (sharp switch, low leakage current, adjustable triggering voltage and high current ratio ION/IOFF), band-modulation devices are envisioned for multiple applications. In this work, we focused on Electro-Static Discharge (ESD) protection, capacitor-less Dynamic Random Access Memory and fast logic switch. The DC and transient operation mechanisms as well as the device performance are investigated in details with TCAD simulations and validated with systematic experimental results. A compact model of surface potential distribution for all Z-FET family devices is also given.

Este trabalho mostra a comparação dos efeitos das falhas provocadas pelos Single-Event Effects em dispositivos 28nm FDSOI, 28nm FDSOI High-K e 32nm Bulk CMOS e células de memória 6T SRAM feitas com estes dispositivos. Para conseguir isso, foram usadas ferramentas TCAD para simular falhas transientes devido a impacto de íons pesados a nível dispositivo e nível circuito. As simulações neste ambiente tem como vantagem a simulação dos fatos e mecanismos que produz as falhas transientes e seus efeitos nos dispositivos, além de também servir para projetar virtualmente estes dispositivos e caraterizar eles para estas simulações. Neste caso, foram projetados três dispositivos para simulação: um transistor NMOS de 32nm Bulk, um transistor NMOS de 28nm FDSOI e um transistor NMOS de 28nm FDSOI High-K para fazer comparações entre eles. Estes dispositivos foram projetados, caraterizados e testados contra o impacto de íons pesados a níveis dispositivo e circuito. Como resultado obtido, transistor Bulk de 32nm teve, no pior caso, uma carga coletada de 7.57 e 7.19 vezes maior que a carga coletada pelo dispositivo FDSOI de 28nm e FDSOI High-K de 28nm respectivamente atingido pelo mesmo íon pesado de 100MeV-cm2/mg. Com estes dados foi possível modelar o comportamento da carga coletada de ambos dispositivos usando este íon pesado, atingindo os terminais de Fonte e Dreno em distintos lugares e ângulos. Usando a mesma ferramenta e os dados obtidos de carga coletada pelos testes anteriores, foram projetadas células de memória SRAM de 6 transistores. Isso foi para testar elas contra os efeitos do impacto de íons pesados nos transistores NMOS de armazenagem da dados. Neste caso, a Transferência Linear de Energia (LET) do íon necessária para fazer que o dado armazenado na SRAM Bulk mude é 12.8 vezes maior que no caso da SRAM FDSOI e 10 maior no caso da SRAM FDSOI High-K, embora a quantidade de carga coletada necessária para que o dado mude em ambas células seja quase a mesma. Com estes dados foi possível modelar os efeitos dos íons pesados em ambos circuitos, descobrir a Carga Crítica destes e qual é o mínimo LET necessário para que o dado armazenado nestas SRAMs mude. / This work shows a comparison of faults due to Single-Event Effects in 28nm Fully Depleted SOI (FDSOI), 28nm FDSOI High-K and 32nm Bulk CMOS devices, and in 6T SRAM memory cells made with these devices. To provide this, was used TCAD tools to simulate transient faults due to heavy ion impacts on device and circuit levels. The simulations in that environment have the advantage to simulate the facts and mechanisms which produce the transient faults and this effects on the electronic devices, it also allow to simulate the virtual device fabrication and to characterize them. In this case, two devices were created for the simulations: a 32nm Bulk NMOS transistor and a 28nm FDSOI NMOS transistor for compare them. These devices were created, characterized and tested against heavy ion impacts at device and circuit levels. The results show that 32nm Bulk transistor has, in the worst case, a collected charge 7.57 and 7.19 times greater than the 28nm FDSOI and 28nm FDSOI High-K respectively collected charge with the same 100MeV-cm2/mg heavy ion. With these data it was possible to model the behavior of the collected charge in both devices with the same heavy-ion, reach the Source and Drain Terminal in different places and angles. Using the same tools and the obtained collected charge data of previous simulations, it was designed 6 transistors SRAM Memory Cells. That is done to test these circuits against the heavy ion effects on the data-storage NMOS transistor. In this case, the necessary Ion Linear Energy Transfer (LET) to flip the Bulk SRAM is 12.8 greater than the FDSOI SRAM and 10 times greater than the FDSOI High- K SRAM case, although the amount of charge to flip the cells is almost the same in both cases. With these data it was possible to model the heavy-ion effects in both circuits, discover the Critical Charge of them and the minimum LET to flips these SRAMs.

L’activation à basse température est prometteuse pour l’intégration 3D séquentielle où lebudget thermique du transistor supérieur est limité (<650 ºC) pour ne pas dégrader letransistor inférieur, mais aussi dans le cas d’une intégration planaire afin d’atteindre des EOTultra fines et de contrôler le travail de sortie de la grille sans recourir à une intégration de type« gate-last ». Dans ce travail, l’activation par recroissance en phase solide (SPER) a étéétudiée afin de réduire le budget thermique de l’activation des dopants.L’activation à basse température présente plusieurs inconvénients. Les travauxprécédents montrent que les fuites de jonctions sont plus importantes dans ces dispositifs.Ensuite, des fortes désactivations de dopants ont été observées. Troisièmement, la faiblediffusion des dopants rend difficile la connexion des jonctions source et drain avec le canal.Dans ce travail, il est montré que dans un transistor FDSOI, l’augmentation des fuites dejonctions et la désactivation du Bore peuvent être évités grâce à la présence de l’oxyde enterré.De plus les conditions d’implantation ont été optimisées et les transistors activés à650 ºC atteignent les performances des transistors de référence. / Low temperature (LT) process is gaining interest in the frame of 3D sequentialintegration where limited thermal budget (<650 ºC) is needed for top FET to preserve bottomFET from any degradation and also in the standard planar integration for achieving ultra-thinEOT and work function control with high-k metal gate without gate-last integration scheme.In this work, LT Solid Phase Epitaxial Regrowth (SPER) has been investigated for reducingthe most critical thermal budget which is dopant activation.From previous works, LT activated devices face several challenges: First, higher junctionleakage limits their application to high performance devices. Secondly, strong deactivation ofthe metastable activated dopants was observed with post anneals. Thirdly, the dopant weakdiffusion makes it difficult to connect the channel with S/D.In this work, it is shown that the use of FDSOI enables to overcome junction leakage andBoron deactivation issues thanks to the defect cutting off and sinking effect of buried oxide.As a consequence, dopant deactivation in FDSOI devices is no longer an issue. Finally,implants conditions of LT transistors have been optimized to reach similar performance thanits standard high temperature counterparts.

Este trabalho mostra a comparação dos efeitos das falhas provocadas pelos Single-Event Effects em dispositivos 28nm FDSOI, 28nm FDSOI High-K e 32nm Bulk CMOS e células de memória 6T SRAM feitas com estes dispositivos. Para conseguir isso, foram usadas ferramentas TCAD para simular falhas transientes devido a impacto de íons pesados a nível dispositivo e nível circuito. As simulações neste ambiente tem como vantagem a simulação dos fatos e mecanismos que produz as falhas transientes e seus efeitos nos dispositivos, além de também servir para projetar virtualmente estes dispositivos e caraterizar eles para estas simulações. Neste caso, foram projetados três dispositivos para simulação: um transistor NMOS de 32nm Bulk, um transistor NMOS de 28nm FDSOI e um transistor NMOS de 28nm FDSOI High-K para fazer comparações entre eles. Estes dispositivos foram projetados, caraterizados e testados contra o impacto de íons pesados a níveis dispositivo e circuito. Como resultado obtido, transistor Bulk de 32nm teve, no pior caso, uma carga coletada de 7.57 e 7.19 vezes maior que a carga coletada pelo dispositivo FDSOI de 28nm e FDSOI High-K de 28nm respectivamente atingido pelo mesmo íon pesado de 100MeV-cm2/mg. Com estes dados foi possível modelar o comportamento da carga coletada de ambos dispositivos usando este íon pesado, atingindo os terminais de Fonte e Dreno em distintos lugares e ângulos. Usando a mesma ferramenta e os dados obtidos de carga coletada pelos testes anteriores, foram projetadas células de memória SRAM de 6 transistores. Isso foi para testar elas contra os efeitos do impacto de íons pesados nos transistores NMOS de armazenagem da dados. Neste caso, a Transferência Linear de Energia (LET) do íon necessária para fazer que o dado armazenado na SRAM Bulk mude é 12.8 vezes maior que no caso da SRAM FDSOI e 10 maior no caso da SRAM FDSOI High-K, embora a quantidade de carga coletada necessária para que o dado mude em ambas células seja quase a mesma. Com estes dados foi possível modelar os efeitos dos íons pesados em ambos circuitos, descobrir a Carga Crítica destes e qual é o mínimo LET necessário para que o dado armazenado nestas SRAMs mude. / This work shows a comparison of faults due to Single-Event Effects in 28nm Fully Depleted SOI (FDSOI), 28nm FDSOI High-K and 32nm Bulk CMOS devices, and in 6T SRAM memory cells made with these devices. To provide this, was used TCAD tools to simulate transient faults due to heavy ion impacts on device and circuit levels. The simulations in that environment have the advantage to simulate the facts and mechanisms which produce the transient faults and this effects on the electronic devices, it also allow to simulate the virtual device fabrication and to characterize them. In this case, two devices were created for the simulations: a 32nm Bulk NMOS transistor and a 28nm FDSOI NMOS transistor for compare them. These devices were created, characterized and tested against heavy ion impacts at device and circuit levels. The results show that 32nm Bulk transistor has, in the worst case, a collected charge 7.57 and 7.19 times greater than the 28nm FDSOI and 28nm FDSOI High-K respectively collected charge with the same 100MeV-cm2/mg heavy ion. With these data it was possible to model the behavior of the collected charge in both devices with the same heavy-ion, reach the Source and Drain Terminal in different places and angles. Using the same tools and the obtained collected charge data of previous simulations, it was designed 6 transistors SRAM Memory Cells. That is done to test these circuits against the heavy ion effects on the data-storage NMOS transistor. In this case, the necessary Ion Linear Energy Transfer (LET) to flip the Bulk SRAM is 12.8 greater than the FDSOI SRAM and 10 times greater than the FDSOI High- K SRAM case, although the amount of charge to flip the cells is almost the same in both cases. With these data it was possible to model the heavy-ion effects in both circuits, discover the Critical Charge of them and the minimum LET to flips these SRAMs.

The growing interest in high speed and RF technologies assert for the importance of reliability characterization beyond the conventional DC methodology. In this work, the influence of bias temperature instability (BTI) stress on RF small signal parameters is shown. The correlation between degradation of DC and RF parameters is established which enables the empirical modelling of stress induced changes. Furthermore, S-Parameters characterization is demonstrated as the tool to qualitatively distinguish between HCI and BTI degradation mechanisms with the help of extracted small signal gate capacitances.

Les circuits intégrés (CI) devenant de plus en plus complexes et vulnérables face aux décharges électrostatiques (ESD pour ElectroStatic Discharge), la capacité à vérifier de manière fiable la présence de défauts de conception ESD sur des puces comptant plusieurs milliards de transistors avant tout envoi en fabrication est devenu un enjeu majeur dans l’industrie des semi-conducteurs. Des outils commerciaux automatisés de dessin électronique (EDA pour Electronic Design Automation) et leur flot de vérification associé permettent d’effectuer différents types de contrôles qui se sont révélés être efficaces pour des circuits avec une architecture classique. Cependant, ils souffrent de limitations lorsqu’ils sont confrontés à des architectures inhabituelles, dites custom. De plus, ces méthodes de vérification sont généralement effectuées tard dans le flot de conception, rendant toute rectification de dessin coûteuse en termes d’efforts correctifs et de temps. Cette thèse de doctorat propose une méthodologie de vérification ESD systématique et multi-échelle introduite dans un outil appelé ESD IP Explorer qui a été spécifiquement implémenté pour couvrir le flot de conception dans sa globalité et pour adresser des circuits dits custom. Il est composé d’un module de reconnaissance et d’un module de vérification. Le module de reconnaissance identifie tout d’abord et de manière automatisée les structures de protection ESD, embarquées sur silicium dans le circuit intégré pour améliorer leur robustesse ESD, selon un mécanisme de reconnaissance topologique. Le module de vérification convertit ensuite le réseau de protection ESD, formé des structures de protection ESD, en un graphe dirigé. Finalement, une analyse ESD quasi-statique reposant sur des algorithmes génériques issus de la théorie des graphes est effectuée sur la globalité du circuit à vérifier. Des algorithmes d’apprentissage automatique ont été employés pour prédire les comportements quasi-statiques des protections ESD à partir des paramètres d’instance de leurs composants élémentaires sous la forme d’une liste d’interconnexions. L’avantage ici est qu’aucune simulation électrique n’est requise pendant toute la durée d’exécution d’ESD IP Explorer, ce qui simplifie l’architecture de l’outil et accélère l’analyse. Les efforts d’implémentation ont été concentrés sur la compatibilité d’ESD IP Explorer avec le nœud technologique 28nm FD-SOI (pour Fully Depleted Silicon On Insulator). L’outil de vérification développé a été utilisé avec succès pour l’analyse d’un circuit incorporant des parties numériques et à signaux mixtes et comprenant plus de 1,5 milliard de transistors en seulement quelques heures. Des circuits custom qui n’ont pas pu être vérifiés au moyen d’outils de vérification traditionnels du fait de problèmes d’incompatibilité ont également pu être soumis à analyse grâce à ESD IP Explorer. / As Integrated Circuits (ICs) become more complex and susceptible to ElectroStatic Discharges (ESD), the ability to reliably verify the presence of ESD design weaknesses over a multi-billion transistor chip prior to the tape-out is a major topic in the semiconductor industry. Commercial tools dedicated to Electronic Design Automation (EDA) and related verification flows are in charge of providing checks that have been proven to be efficient for circuits with a mainstream architecture. However, they suffer limitations when confronted with custom designs. Moreover, these verification methods are often run late in the design flow, making any design re-spin costly in terms of corrective efforts and time. This Ph. D. thesis proposes a systematic and scalable ESD verification methodology embodied in a tool called ESD IP Explorer that has been specifically implemented to cover the entire design flow and to comply with custom circuit architectures. It is composed of a recognition module and a verification module. The recognition module first automatically identifies ESD protection structures, embedded in integrated circuits to enhance their ESD hardness, according to a topology-aware recognition mechanism. The verification module then converts the ESD protection network that is formed by ESD protection structures into a directed graph. There, technology-independent and graph-based verification mechanisms perform a chip-scale quasistatic ESD analysis. Machine learning algorithms have been used in order to infer the quasistatic behavior of ESD IPs from the netlist instance parameters of their primary devices. This approach has the advantage that no simulation is required during the execution of ESD IP Explorer, which makes the tool architecture simpler and improves execution times. Implementation efforts pertained to the compliance of ESD IP Explorer with the 28nm Fully Depleted Silicon On Insulator (FD-SOI) technology node. The developed verification tool has been used to successfully analyze a digital and mixed-signal circuit prototype counting more than 1.5 billion transistors in several hours, as well as custom designs that could not be analyzed by means of traditional verification tools due to incompatibility issues.

L’émergence des circuits complexes numériques, ou System-On-Chip (SOC), pose notamment la problématique de la consommation énergétique. Parmi les blocs fonctionnels significatifs à ce titre, apparaissent les mémoires et en particulier les mémoires statiques (SRAM). La maîtrise de la consommation énergétique d’une mémoire SRAM inclue la capacité à rendre la mémoire fonctionnelle sous très faible tension d’alimentation, avec un objectif agressif de 300 mV (inférieur à la tension de seuil des transistors standard CMOS). Dans ce contexte, les travaux de thèse ont concerné la proposition d’un point mémoire SRAM suffisamment performant sous très faible tension d’alimentation et pour les nœuds technologiques avancés (CMOS bulk 28nm et FDSOI 28nm). Une analyse comparative des architectures proposées dans l’état de l’art a permis d’élaborer deux points mémoire à 10 transistors avec de très faibles impacts de courant de fuite. Outre une segmentation des ports de lecture, les propositions reposent sur l’utilisation de périphéries adaptées synchrones avec notamment une solution nouvelle de réplication, un amplificateur de lecture de données en mode tension et l’utilisation d’une polarisation dynamique arrière du caisson SOI (Body Bias). Des validations expérimentales s’appuient sur des circuits en technologies avancées. Enfin, une mémoire complète de 32kb (1024x32) a été soumise à fabrication en 28 FDSOI. Ce circuit embarque une solution de test (BIST) capable de fonctionner sous 300mV d’alimentation. Après une introduction générale, le 2ème chapitre du manuscrit décrit l’état de l’art. Le chapitre 3 présente les nouveaux points mémoire. Le 4ème chapitre décrit l’amplificateur de lecture avec la solution de réplication. Le chapitre 5 présente l’architecture d’une mémoire ultra basse tension ainsi que le circuit de test embarqué. Les travaux ont donné lieu au dépôt de 4 propositions de brevet, deux conférences internationales, un article de journal international est accepté et un autre vient d’être soumis. / Emergence of large Systems-On-Chip introduces the challenge of power management. Of the various embedded blocks, static random access memories (SRAM) constitute the angrier contributors to power consumption. Scaling down the power supply is one way to act positively on power consumption. One aggressive target is to enable the operation of SRAMs at Ultra-Low-Voltage, i.e. as low as 300 mV (lower than the threshold voltage of standard CMOS transistors). The present work concerned the proposal of SRAM bitcells able to operate at ULV and for advanced technology nodes (either CMOS bulk 28 nm or FDSOI 28 nm). The benchmarking of published architectures as state-of-the-art has led to propose two flavors of 10-transitor bitcells, solving the limitations due to leakage current and parasitic power consumption. Segmented read-ports have been used along with the required synchronous peripheral circuitry including original replica assistance, a dedicated unbalanced sense amplifier for ULV operation and dynamic forward back-biasing of SOI boxes. Experimental test chips are provided in previously mentioned technologies. A complete memory cut of 32 kbits (1024x32) has been designed with an embedded BIST block, able to operate at ULV. After a general introduction, the manuscript proposes the state-of-the-art in chapter two. The new 10T bitcells are presented in chapter 3. The sense amplifier along with the replica assistance is the core of chapter 4. The memory cut in FDSOI 28 nm is detailed in chapter 5. Results of the PhD have been disseminated with 4 patent proposals, 2 papers in international conferences, a first paper accepted in an international journal and a second but only submitted paper in an international journal.