Charge-based compact model of gate-all-around floating gate nanowire with variable oxide thickness for flash memory cell

Due to high gate electrostatic control and introduction of punch and plug process technology, the gate-all-around (GAA) transistor is very promising in, and apparently has been utilized for, flash memory applications. However, GAA Floating Gate (GAA-FG) memory cell still requires high programming voltage that may be susceptible to cell-to-cell interference. Scaling down the tunnel oxide can reduce the Program/Erase (P/E) voltage but degrades the data retention capability. By using Technology-Computer-Aided-Design (TCAD) tools, the concept of tunnel barrier engineering using Variable Oxide Thickness (VARIOT) of low-k/high-k stack is utilized in compensating the trade-off between P/E operation and retention characteristics. Four high-k dielectrics (Si3N4, Al2O3, HfO2 and ZrO2) that are commonly used in semiconductor process technology are examined with SiO2 as its low-k dielectric. It is found that by using SiO2/Al2O3 as the tunnel layer, both the P/E and retention characteristics of GAA-FG can be compensated. About 30% improvement in memory window than conventional SiO2 is obtained and only 1% of charge-loss is predicted after 10 years of applying gate stress of -3.6V. Compact model of GAA-FG is initiated by developing a continuous explicit core model of GAA transistor (GAA Nanowire MOSFET (GAANWFET) and Juntionless Nanowire Transitor (JNT)). The validity of the theory and compact model is identified based on sophisticated numerical TCAD simulator for under 10% maximum error of surface potential. It is revealed that with the inclusion of partial-depletion conduction, the accuracy of the core model for GAANWFET is improved by more than 50% in the subthreshold region with doping-geometry ratio can be as high as about 0.86. As for JNT, despite the model being accurate for doping-geometry ratio upto 0.6, it is also independent of fitting parameters that may vary under different terminal biases or doping-geometry cases. The compact model of GAA-FG is completed by incorperating Charge Balance Model (CBM) into GAA transistor core model where good agreement is obtained with TCAD simulation and published experimental work. The CBM gives better accuracy than the conventional capacitive coupling approach under subthreshold region with approximately 10% error of floating gate potential. Therefore, the proposed compact model can be used to assist experimental work in extracting experimental data

Optimization of high-k composite dielectric materials of variable oxide thickness tunnel barrier for nonvolatile memory

Downscaling the tunnel oxide thickness has become one of the innovative solutions to minimize the operational voltage with better the programming/erasing (P/E) operation time. However, the downscaling technique faces several challenges where the conventional SiO2 tunnel layer has reached its limit. But a practical alternative has been introduced; Variable Oxide Thickness (VARIOT) technology in flash memory has been promising. VARIOT is one of tunnel barrier engineering technology for incorporating the high-k dielectric materials as a composite tunnel barrier. This paper presents the VARIOT concept to determine the optimum set of combination, the equivalent oxide thickness (EOT) and the low-k oxide thickness (Tox) for alternate high-k materials. Fowler-Nordheim (F-N) tunneling coefficients are also extracted for various combinations of VARIOT, where in this work ZrO2, HfO2, Al2O3, La2O3, and Y2O3 are used. The VARIOT optimization is conducted using 3-Dimensional (3D) Silicon Nanowire Field-Effect-Transistor (SiNWFET) device structure and simulated in TCAD Simulation tools. From the simulation results, it has found out that the high-k materials of La2O3 asymmetric stack is the excellent dielectric material among four (4) other dielectric materials; ZrO2, HfO2, Al2O3 and Y2O3 for EOT=4nm and Tox=1nm

High dielectric constant materials in SONOS-type non- volatile memory structures

Ph.DDOCTOR OF PHILOSOPH

Etude d'architectures et d'empilements innovants de mémoires Split-Gate (grille séparée) à couche de piégeage discret

Du fait de l'augmentation de la demande de produits pour les applications grand public, industrielles et automobiles, des mémoires embarquées fiables et à faible coût de fabrication sont de plus en plus demandées. Dans ce contexte, les mémoires split-gate à piégeage discret sont proposées pour des microcontrôleurs. Elles combinent l'avantage d'une couche de stockage discrète et de la con guration split-gate. Durant ce travail de recherche, des mémoires split-gate à couche de piégeage discret ayant des longueurs de grille de 20nm sont présentées pour la première fois. Celles-ci on été réalisées avec des nanocristaux de silicium (Si-nc), du nitrure de silicium (SiN) ou un hybride Si-nc/SiN avec diélectrique de control de type SiO2 ou AlO et sont comparées en termes de performances lors des procédures d'eff acement et de rétention. Ensuite, la miniaturisation des mémoires split-gate à piégeage de charge est étudié, en particulier au travers de l'impact de la réduction de la longueur de grille sur la fenêtre de mémorisation, la rétention et la consommation. Le rôle des défauts dans le diélectrique de contrôle (alumine) utilisé dans les mémoires de type TANOS a été étudié. Des travaux ont été menés pour déterminer l'origine des pièges dans ce matériau, par le biais de la simulation atomistique ainsi que d'analyses physico-chimiques précises. Nous avons montré que la concentration de pièges dans AlO pouvait être réduite par ajustement des conditions de procédé de fabrication, débouchant ainsi sur l'amélioration de la rétention dans les mémoires à piégeage de charge. Ce résultat est convenable pour les applications de type embarquéDue to the increasing demand for consumer, industrial and automotive products, highly reliable, and low integration cost embedded memories are more and more required. In this context, split-gate charge trap memories were proposed for microcontroller products, combining the advantage of a discrete storage layer and of the split-gate con guration. In this thesis, split-gate charge trap memories with electrical gate length down to 20nm are presented for the 1st time. Silicon nanocristals (Si-nc), or silicon nitride (SiN) and hybrid Si-nc/SiN based split-gate memories, with SiO2 or AlO control dielectrics, are compared in terms of program erase and retention. Then, the scalability of split-gate charge trap memories is studied, investigating the impact of gate length reduction on the memory window, retention and consumption. We thus studied the role of defects on alumina control dielectric employed in TANOS-like memory. We used atomistic simulation, consolidated by a detailed alumina physico-chemical material analysis, to investigate the origin of traps in alumina. We showed that the trap concentration in AlO can be decreased by adjusting the process conditions leading to improved retention behaviour in charge trap memory, suitable for embedded applications.SAVOIE-SCD - Bib.électronique (730659901) / SudocGRENOBLE1/INP-Bib.électronique (384210012) / SudocGRENOBLE2/3-Bib.électronique (384219901) / SudocSudocFranceF

Alternative gate dielectrics and application in nanocrystal memory

Ph.DDOCTOR OF PHILOSOPH

Synthesis of silicon nanocrystal memories by sputter deposition

In Silizium-Nanokristall-Speichern werden im Gate-Oxid eines Feldeffekttransistors eingebettete Silizium Nanokristalle genutzt, um Elektronen lokal zu speichern. Die gespeicherte Ladung bestimmt dann den Zustand der Speicherzelle. Ein wichtiger Aspekt in der Technologie dieser Speicher ist die Erzeugung der Nanokristalle mit einerwohldefinierten Größenverteilung und einem bestimmten Konzentrationsprofil im Gate-Oxid. In der vorliegenden Arbeit wurde dazu ein sehr flexibler Ansatz untersucht: die thermische Ausheilung von SiO2/SiOx (x < 2) Stapelschichten. Es wurde ein Sputterverfahren entwickelt, das die Abscheidung von SiO2 und SiOx Schichten beliebiger Zusammensetzung erlaubt. Die Bildung der Nanokristalle wurde in Abhängigkeit vom Ausheilregime und der SiOx Zusammensetzung charakterisiert, wobei unter anderem Methoden wie Photolumineszenz, Infrarot-Absorption, spektroskopische Ellipsometrie und Elektronenmikroskopie eingesetzt wurden. Anhand von MOS-Kondensatoren wurden die elektrischen Eigenschaften derart hergestellter Speicherzellen untersucht. Die Funktionalität der durch Sputterverfahren hergestellten Nanokristall-Speicher wurde erfolgreich nachgewiesen.In silicon nanocrystal memories, electronic charge is discretely stored in isolated silicon nanocrystals embedded in the gate oxide of a field effect transistor. The stored charge determines the state of the memory cell. One important aspect in the technology of silicon nanocrystal memories is the formation of nanocrystals near the SiO2-Si interface, since both, the size distribution and the depth profile of the area density of nanocrystals must be controlled. This work has focussed on the formation of gate oxide stacks with embedded nanocrystals using a very flexible approach: the thermal annealing of SiO2/SiOx (x < 2) stacks. A sputter deposition method allowing to deposit SiO2 and SiOx films of arbitrary composition has been developed and optimized. The formation of Si NC during thermal annealing of SiOX has been investigated experimentally as a function of SiOx composition and annealing regime using techniques such as photoluminescence, infrared absorption, spectral ellipsometry, and electron microscopy. To proof the concept, silicon nanocrystal memory capacitors have been prepared and characterized. The functionality of silicon nanocrystal memory devices based on sputtered gate oxide stacks has been successfully demonstrated

Anatomy of Ag/Hafnia‐Based Selectors with 1010 Nonlinearity

Sneak path current is a significant remaining obstacle to the utilization of large crossbar arrays for non-volatile memories and other applications of memristors. A two-terminal selector device with an extremely large current-voltage nonlinearity and low leakage current could solve this problem. We present here a Ag/oxide-based threshold switching (TS) device with attractive features such as high current-voltage nonlinearity (~1010 ), steep turn-on slope (less than 1 mV/dec), low OFF-state leakage current (~10-14 A), fast turn ON/OFF speeds (108 cycles). The feasibility of using this selector with a typical memristor has been demonstrated by physically integrating them into a multilayered 1S1R cell. Structural analysis of the nanoscale crosspoint device suggests that elongation of a Ag nanoparticle under voltage bias followed by spontaneous reformation of a more spherical shape after power off is responsible for the observed threshold switching of the device. Such mechanism has been quantitatively verified by the Ag nanoparticle dynamics simulation based on thermal diffusion assisted by bipolar electrode effect and interfacial energy minimization

Cycling Waveform Dependent Wake-Up and ON/OFF Ratio in Al2O3/Hf0.5Zr0.5O2 Ferroelectric Tunnel Junction Devices

The wake-up behavior and ON/OFF current ratio of TiN–Al2O3–Hf0.5Zr0.5O2–W ferroelectric tunnel junction (FTJ) devices were investigated for different wake-up voltage waveforms. We studied triangular and square waves, as well as square pulse trains of equal or unequal voltage amplitudes for positive and negative polarities. We find that the wake-up behavior in these FTJ stacks is highly influenced by the field cycling waveform. A square waveform is observed to provide wake-up with the lowest number of cycles, concomitantly resulting in higher remnant polarization and a higher ON/OFF ratio in the devices, compared to a triangular waveform. We further show that wake-up is dependent on the number of cycles rather than the total time of the applied electric field during cycling. We also demonstrate that different voltage magnitudes are necessary for positive and negative polarities during field cycling for efficient wake-up. Utilizing an optimized waveform with unequal magnitudes for the two polarities during field cycling, we achieve a reduction in wake-up cycles and a large enhancement of the ON/OFF ratio from ∼5 to ∼35 in our ferroelectric tunnel junctions

HIGH PERFORMANCE SILVER DIFFUSIVE MEMRISTORS FOR FUTURE COMPUTING

Sneak path current is a significant remaining obstacle to the utilization of large crossbar arrays for non-volatile memories and other applications of memristors. A two-terminal selector device with an extremely large current-voltage nonlinearity and low leakage current could solve this problem. We present here a Ag/oxide-based threshold switching (TS) device with attractive features such as high current-voltage nonlinearity (~1010), steep turn-on slope (less than 1 mV/dec), low OFF-state leakage current (~10-14 A), fast turn ON/OFF speeds (\u3c75/250 ns), and good endurance (\u3e108 cycles). The feasibility of using this selector with a typical memristor has been demonstrated by physically integrating them into a multilayered 1S1R cell. Structural analysis of the nanoscale crosspoint device suggests that elongation of a Ag nanoparticle under voltage bias followed by spontaneous reformation of a more spherical shape after power off is responsible for the observed threshold switching of the device. Such mechanism has been quantitatively verified by the Ag nanoparticle dynamics simulation based on thermal diffusion assisted by bipolar electrode effect and interfacial energy minimization