In dieser Arbeit werden Quantenpunkt-Speichertransistoren basierend auf modulationsdotierten GaAs/AlGaAs Heterostrukturen mit vorpositionierten InAs Quantenpunkten vorgestellt, welche in Abhängigkeit der Ladung auf den Quantenpunkten unterschiedliche Widerstände und Kapazitäten aufweisen. Diese Ladungsabhängigkeiten führen beim Anlegen von periodischen Spannungen zu charakteristischen, durch den Ursprung gehenden Hysteresen in der Strom-Spannungs- und der Ladungs-Spannungs-Kennlinie. Die ladungsabhängigen Widerstände und Kapazitäten ermöglichen die Realisierung von neuromorphen Operationen durch Nachahmung von synaptischen Funktionalitäten und arithmetischen Operationen durch Integration von Spannungs- und Lichtpulsen. / In this thesis, state-dependent resistances and capacitances in quantum dot floating gate transistors based on modulation doped GaAs/AlGaAs heterostructures with site-controlled InAs quantum dots are presented. The accumulation of electrons in the quantum dots simultaneously increases the resistance and decreases the capacitance, which leads to characteristic pinched hysteresis loops in the current-voltage- and the charge-voltage-characteristics when applying periodic input signals. The concurrent resistance and capacitance switching enables the realization of neuromorphic operations via mimicking of synaptic functionalities and arithmetic operations via the integration of voltage and light pulses.

Logic-in-memory circuits promise to overcome the von-Neumann bottleneck, which constitutes one of the limiting factors to data throughput and power consumption of electronic devices. In the following we present four-input logic gates based on only two ferroelectric FETs (FeFETs) with hafnium oxide as the ferroelectric material. By utilizing two complementary inputs, a XOR and a XNOR gate are created. The use of only two FeFETs results in a compact and nonvolatile design. This realization, moreover, directly couples the memory and logic function of the FeFET. The feasibility of the proposed structures is revealed by electrical measurements of HKMG FeFET memory arrays manufactured in 28nm technology.

During the last decade ferroelectrics based on doped hafnium oxide emerged as promising candidates for realization of ultra-low-power non-volatile memories. Two spontaneous polarization states occurring in the material that can be altered by applying electrical fields rather than forcing a current through and the materials compatibility to CMOS processing are the main benefits setting the concept apart from other emerging memories. 1T1C ferroelectric random access memories (FeRAM) as well as 1T FeFET concepts are under investigation. In this article the application of hafnium based ferroelectric memories in different flavours and their ranking in the memory landscape are discussed.

With the rise of computationally expensive application domains such as machine learning, genomics, and fluids simulation, the quest for performance and energy-efficient computing has gained unprecedented momentum. The significant increase in computing and memory devices in modern systems has resulted in an unsustainable surge in energy consumption, a substantial portion of which is attributed to the memory system. The scaling of conventional memory technologies and their suitability for the next-generation system is also questionable. This has led to the emergence and rise of nonvolatile memory ( NVM ) technologies. Today, in different development stages, several NVM technologies are competing for their rapid access to the market. Racetrack memory ( RTM ) is one such nonvolatile memory technology that promises SRAM -comparable latency, reduced energy consumption, and unprecedented density compared to other technologies. However, racetrack memory ( RTM ) is sequential in nature, i.e., data in an RTM cell needs to be shifted to an access port before it can be accessed. These shift operations incur performance and energy penalties. An ideal RTM , requiring at most one shift per access, can easily outperform SRAM . However, in the worst-cast shifting scenario, RTM can be an order of magnitude slower than SRAM . This thesis presents an overview of the RTM device physics, its evolution, strengths and challenges, and its application in the memory subsystem. We develop tools that allow the programmability and modeling of RTM -based systems. For shifts minimization, we propose a set of techniques including optimal, near-optimal, and evolutionary algorithms for efficient scalar and instruction placement in RTMs . For array accesses, we explore schedule and layout transformations that eliminate the longer overhead shifts in RTMs . We present an automatic compilation framework that analyzes static control flow programs and transforms the loop traversal order and memory layout to maximize accesses to consecutive RTM locations and minimize shifts. We develop a simulation framework called RTSim that models various RTM parameters and enables accurate architectural level simulation. Finally, to demonstrate the RTM potential in non-Von-Neumann in-memory computing paradigms, we exploit its device attributes to implement logic and arithmetic operations. As a concrete use-case, we implement an entire hyperdimensional computing framework in RTM to accelerate the language recognition problem. Our evaluation shows considerable performance and energy improvements compared to conventional Von-Neumann models and state-of-the-art accelerators.

Im Rahmen dieser Arbeit werden haftstellen-basierte Speicherzellen als mögliche Alternative zum bestehenden Floating-Gate Konzept untersucht. Hierbei wird zunächst mittels Simulation und ausgewählten Messverfahren das Verständnis der Funktionsweise vertieft. Der darauffolgende Abschnitt befasst sich mit der Verbesserung der elektrischen Eigenschaften, basierend auf Änderungen der verwendeten Materialien und dem räumlichen Aufbau. Abschließend erfolgt die Untersuchung der Anwendbarkeit des Zellkonzeptes in hochdichten Zellenfeldern.

Im Rahmen dieser Arbeit werden haftstellen-basierte Speicherzellen als mögliche Alternative zum bestehenden Floating-Gate Konzept untersucht. Hierbei wird zunächst mittels Simulation und ausgewählten Messverfahren das Verständnis der Funktionsweise vertieft. Der darauffolgende Abschnitt befasst sich mit der Verbesserung der elektrischen Eigenschaften, basierend auf Änderungen der verwendeten Materialien und dem räumlichen Aufbau. Abschließend erfolgt die Untersuchung der Anwendbarkeit des Zellkonzeptes in hochdichten Zellenfeldern.:Kurzfassung Abstract 1 Einleitung 2 Grundlagen aktiver Halbleiterelemente 2.1 Die MOS-Struktur 2.2 Der MOS-Feldeffekt-Transistor 2.3 Nichtflüchtige Festkörperspeicher 2.4 Speicherarchitekturen 2.5 Charakterisierungsmethoden von Halbleiter-Speicherelementen 3 Defektbasierte Ladungsspeicherung in dielektrischen Schichten 3.1 Physikalische Grundlagen von Haftstellen 3.2 Betrachtung der vertikalen Ladungsverteilung mit Hilfe von Simulationen 3.3 Ableitung der vertikalen Ladungsverteilung aus Messungen 4 Elektrisches Verhalten einer haftstellen-basierten Speicherzelle 4.1 Auswirkung von inhomogen verteilter Ladung in der Speicherschicht 4.2 Auswirkungen von Al2O3-Topoxid auf das Zellverhalten 4.3 Auswirkung des Steuerelektrodenmaterials auf das Zellverhalten 4.4 Einfluss von Kanal- und Source/Drain-Dotierung 5 Integration in eine stark skalierte NAND Architektur 5.1 Auswirkung struktureller Effekte auf die Speicherzelle 5.2 Störmechanismen beim Betrieb von stark skalierten NAND-Speichern 6 Zusammenfassung und Ausblick 6.1 Zusammenfassung 6.2 Ausblick Danksagung Lebenslauf Symbol- und Abkürzungsverzeichnis Literaturverzeichnis

Edge computing requires highly energy efficient microprocessor units with embedded non-volatile memories to process data at IoT sensor nodes. Ferroelectric non-volatile memory devices are fast, low power and high endurance, and could greatly enhance energy-efficiency and allow flexibility for finer grain logic and memory. This paper will describe the basics of ferroelectric devices for both hysteretic (non-volatile memory) and negative capacitance (steep slope switch) devices, and then project how these can be used in low-power logic cell architectures and fine-grain logic-in-memory (LiM) circuits.

In an era in which the amount of produced and stored data continues to exponentially grow, standard memory concepts start showing size, power consumption and costs limitation which make the search for alternative device concepts essential. Within a context where new technologies such as DRAM, magnetic RAM, resistive RAM, phase change memories and eFlash are explored and optimized, ferroelectric memory devices like FeRAM seem to showcase a whole range of properties which could satisfy market needs, offering the possibility of creating a non-volatile RAM. In fact, hafnia and zirconia-based ferroelectric materials opened up a new scenario in the memory technology scene, overcoming the dimension scaling limitations and the integration difficulties presented by their predecessors perovskite ferroelectrics. In particular, HfₓZr₁₋ₓO₂ stands out because of high processing flexibility and ease of integration in the standard semiconductor industry process flows for CMOS fabrication. Nonetheless, further understanding is necessary in order tocorrelate device performance and reliability to the establishment of ferroelectricity itself. The aim of this work is to investigate how the composition of the ferroelectric oxide, together with the one of the electrode materials influence the behavior of a ferroelectric RAM. With this goal, different process parameters and reliability properties are considered and an analysis of the polarization reversal is performed. Starting from undoped hafnia and zirconia and subsequently examining their intermixed system, it is shown how surface/volume energy contributions, mechanical stress and oxygen-related defects all concur in the formation of the ferroelectric phase. Based on the process optimization of an HfₓZr₁₋ₓO₂-based capacitor performed within these pages, a 64 kbit 1T1C FeRAM array is demonstrated by Sony Semiconductor Solutions Corporation which shows write voltage and latency as low as 2.0 V and 16 ns, respectively. Outstanding retention and endurance performances are also predicted, which make the addressed device an extremely strong competitor in the semiconductor scene.

The new class of fully silicon-compatible hafnia-based ferroelectrics with high switchable polarization and good endurance and thickness scalability shows a strong promise for new generations of logic and memory devices. Among other factors, their competitiveness depends on the power efficiency that requires reliable low-voltage operation. Here, we show genuine ferroelectric switching in HfₓZr₍₁₋ₓ₎ O₂ (HZO) layers in the application-relevant capacitor geometry, for driving signals as low as 800 mV and coercive voltage below 500 mV. Enhanced piezoresponse force microscopy with sub-picometer sensitivity allowed for probing individual polarization domains under the top electrode and performing a detailed analysis of hysteretic switching. The authentic local piezoelectric loops and domain wall movement under bias attest to the true ferroelectric nature of the detected nanodomains. The systematic analysis of local piezoresponse loop arrays reveals a totally unexpected thickness dependence of the coercive fields in HZO capacitors. The thickness decrease from 10 to 7 nm is associated with a remarkably strong decrease of the coercive field, with about 50% of the capacitor area switched at coercive voltages ≤0.5 V. Our explanation consistent with the experimental data involves a change of mechanism of nuclei-assisted switching when the thickness decreases below 10 nm. The practical implication of this effect is a robust ferroelectric switching under the millivolt-range driving signal, which is not expected for the standard coercive voltage scaling law. These results demonstrate a strong potential for further aggressive thickness reduction of HZO layers for low-power electronics.

Ferroelectric field effect transistor (FeFET) memories based on a new type of ferroelectric material (silicon doped hafnium oxide) were studied within the scope of the present work. Utilisation of silicon doped hafnium oxide (Si:HfO2) thin films instead of conventional perovskite ferroelectrics as a functional layer in FeFETs provides compatibility to the CMOS process as well as improved device scalability. The influence of different process parameters on the properties of Si:HfO2 thin films was analysed in order to gain better insight into the occurrence of ferroelectricity in this system. A subsequent examination of the potential of this material as well as its possible limitations with the respect to the application in non-volatile memories followed. The Si:HfO2-based ferroelectric transistors that were fully integrated into the state-of-the-art high-k metal gate CMOS technology were studied in this work for the first time. The memory performance of these devices scaled down to 28 nm gate length was investigated. Special attention was paid to the charge trapping phenomenon shown to significantly affect the device behaviour.