Investigating ferroelectric and metal-insulator phase transition devices for neuromorphic computing

Neuromorphic computing has been proposed to accelerate the computation for deep neural networks (DNNs). The objective of this thesis work is to investigate the ferroelectric and metal-insulator phase transition devices for neuromorphic computing. This thesis proposed and experimentally demonstrated the drain erase scheme in FeFET to enable the individual cell program/erase/inhibition for in-situ training in 3D NAND-like FeFET array. To achieve multi-level states for analog in-memory computing, the ferroelectric thin film needs to be partially switched. This thesis identified a new challenge of ferroelectric partial switching, namely “history effect” in minor loop dynamics. The experimental characterization of both FeCap and FeFET validated the history effect, suggesting that the intermediate states programming condition depends on the prior states that the device has gone through. A phase-field model was constructed to understand the origin. Such history effect was then modelled into the FeFET based neural network simulation and analyze its negative impact on the training accuracy and then propose a possible mitigation strategy. Apart from using FeFET as synaptic devices, using metal-insulator phase transition device, as neuron was also explored experimentally. A NbOx metal-insulator phase transition threshold switch was integrated at the edge of the crossbar array as an oscillation neuron. One promising application for FeFET+NbOx neuromorphic system is to implement quantum error correction (QEC) circuitry at 4K. Cryo-NeuroSim, a device-to-system modeling framework that calibrates data at cryogenic temperature was developed to benchmark the performance of the FeFET+NbOx neuromorphic system.Ph.D

Exploration of Mutli-Threshold Ferro-Electric FET Based Designs

The surge in data intensive applications has given rise to demand for high density storage devices and their efficient implementations. Consequently, Multi-level-cell(MLC) memories are getting explored for their promising aspects of higher storage density and lower unit storage cost. However, the multi-bit data stored in these memories need to be converted to processor compatible forms (typically binary) for processing. In this work, we have proposed an adaptable multi-level voltage to binary converter using Ferro-electric Field Effect Transistors(FeFET) capable of translating input voltage to bits. The use of FeFETs as voltage comparators simplifies the circuit and offers adaptable voltage quantization, flexible output bit-width(1/2 bits) and security feature. The circuit also employs incremental output encoding, which limits error margin to the least significant bits(LSB). The proposed 4-level to 2-bit converter circuit is demonstrated in simulation to have an input voltage range of [0 ? 3.75V] / [0 ? 2.7V] for FeFETs with 20/2000-domains respectively

Reliability of HfO2-Based Ferroelectric FETs: A Critical Review of Current and Future Challenges

Ferroelectric transistors (FeFETs) based on doped hafnium oxide (HfO2) have received much attention due to their technological potential in terms of scalability, highspeed, and low-power operation. Unfortunately, however, HfO2-FeFETs also suffer from persistent reliability challenges, specifically affecting retention, endurance, and variability. A deep understanding of the reliability physics of HfO2-FeFETs is an essential prerequisite for the successful commercialization of this promising technology. In this article, we review the literature about the relevant reliability aspects of HfO2-FeFETs. We initially focus on the reliability physics of ferroelectric capacitors, as a prelude to a comprehensive analysis of FeFET reliability. Then, we interpret key reliability metrics of the FeFET at the device level (i.e., retention, endurance, and variability) based on the physical mechanisms previously identified. Finally, we discuss the implications of device-level reliability metrics at both the circuit and system levels. Our integrative approach connects apparently unrelated reliability issues and suggests mitigation strategies at the device, circuit, or system level. We conclude this article by proposing a set of research opportunities to guide future development in this field

Material development of doped hafnium oxide for non-volatile ferroelectric memory application

Seit der Entdeckung von Ferroelektrizität in Hafniumoxid stellt es aufgrund seiner Prozesskompatibilität im Bereich der Mikroelektronik sowie seiner besonderen Eigenschaften ein wachsendes Forschungsfeld dar. Im Speziellen wird die Anwendung in nicht-flüchtigen Speichern, in neuromorphen Bauelementen sowie in piezo-/pyroelektrischen Sensoren untersucht. Jedoch ist das Verhalten von ferroelektrischem Hafniumoxid im Vergleich zu Ferroelektrika mit Perovskit-Struktur nicht im Detail verstanden. Zudem spielen Prozesseinflüsse während und nach der Abscheidung eine entscheidende Rolle für die Materialeigenschaften aufgrund der metastabilen Natur der ferroektrischen Phase in diesem Materialsystem. In dieser Arbeit werden die grundlegenden physikalischen Eigenschaften von Hafniumoxid, Prozesseinflüsse auf die Mikrostruktur und Zuverlässigkeitsaspekte von nicht-flüchtigen sowie neuromorphen Bauelementen untersucht. Im Bezug auf die physikalischen Eigenschaften zeigen sich hier deutliche Belege für ferroelastische 90° Domänenwandbewegungen in Hafniumoxid-basierten Dünnschichten, welche in einem ähnlichen Verhalten wie ein Antiferroelektrikum resultieren. Weiterhin wird über die Entdeckung von einer mittels elektrischem Feld induzierten Kristallisation in diesem Materialsystem berichtet. Für die Charakterisierung der Mikrostruktur wird als neue Methode Transmissions-Kikuchi-Diffraktion eingeführt, welche eine detaillierte Untersuchung der lokalen kristallographischen Phase, Orientierung und Gefügestruktur ermöglicht. Hierbei zeigen sich deutliche Vorzugsorientierungen in Abhängigkeit des Substrates, der Dotierstoffkonzentration sowie der Glühtemperatur. Auf Basis dieser Ergebnisse lassen sich die beobachteten Zuverlässigkeitsverhalten in Bauelementen erklären und mittels Defektkontrolle weiter optimieren. Schließlich wird das Verhalten in neuromorphen Bauelementen untersucht und Leitlinien für Prozess- und Bauelementoptimierung gegeben.:Abstract i Abstract ii List of Figures vi List of Tables x Acronyms xi Symbols xiv 1 Introduction 1 2 Theoretical background 3 2.1 Behavior of ferroelectric materials 3 2.1.1 Phase transitions at the Curie temperature 4 2.1.2 Domains, domain walls, and microstructure 5 2.2 Ferroelectricity in HfO2 6 2.2.1 Thermodynamics and kinetics 8 2.2.2 Antiferroelectric-like behavior, wake-up effect, and fatigue 11 2.2.3 Piezo- and pyroelectric effects 13 2.3 Ferroelectric FETs 13 2.3.1 Endurance, retention and variability 14 2.3.2 Neuromorphic devices 15 3 Methodology 17 3.1 Electrical analysis 17 3.1.1 Capacitors 17 3.1.2 FeFETs 19 3.2 Structural and chemical analysis 20 3.2.1 Grazing-incident X-ray diffraction (GIXRD) 20 3.2.2 Transmission electron microscopy (TEM) 20 3.2.3 Time-of-flight secondary ion mass spectrometry (ToF-SIMS) 21 3.3 Transmission Kikuchi diffraction 21 3.4 Sample preparation 23 4 The physics of ferroelectric HfO2 25 4.1 Ferroelastic switching 25 4.2 Electric field-induced crystallization 30 5 Microstructure engineering 33 5.1 Microstructure and ferroelectric domains in HfO2 33 5.2 Doping influences 34 5.2.1 Zr doping (similar ionic radius) 35 5.2.2 Si doping (smaller ionic radius) 43 5.2.3 La doping (larger ionic radius) 50 5.2.4 Co-doping 50 5.3 Annealing influences 53 5.4 Interlayer influences 58 5.5 Interface layer influences 62 5.5.1 Structural differences in the HfO2 layer 63 5.5.2 Interactions of the interface and HfO2 layer 67 5.5.3 Substrate-driven changes in the Si-doping profile 73 5.6 Phenomenological wake-up behaviors and process guidelines 77 6 HfO2-based ferroelectric FETs 81 6.1 Endurance, retention and variability 81 6.1.1 Analytic model of HfO2-based FeFETs 84 6.1.2 Endurance improvements by interface fluorination 94 6.2 Neuromorphic devices and circuits 98 6.2.1 Current peroclation paths in FeFETs 100 6.2.2 Material and stack influences on synaptic devices 105 6.2.3 Reliability aspects of synaptic devices 106 7 Conclusion and outlook 109 Appendix 142 Density-functional-theory calculations 142 Supplementary Figures 143 Publications 145 Acknowledgment 156 Declaration 158The discovery of ferroelectricity in hafnium oxide spurred a growing research field due to hafnium oxides compatibility with processes in microelectronics as well as its unique properties. Notably, its application in non-volatile memories, neuromorphic devices as well as piezo- and pyroelectric sensors is investigated. However, the behavior of ferroelectric hafnium oxide is not understood into depth compared to common perovskite structure ferroelectrics. Due the the metastable nature of the ferroelectric phase, process conditions have a strong influence during and after its deposition. In this work, the physical properties of hafnium oxide, process influences on the microstructure as well as reliability aspects in non-volatile and neuromorphic devices are investigated. With respect to the physical properties, strong evidence is provided that the antiferroelectric-like behavior in hafnium oxide based thin films is governed by ferroelastic 90° domain wall movement. Furthermore, the discovery of an electric field-induced crystallization process in this material system is reported. For the analysis of the microstructure, the novel method of transmission Kikuchi diffraction is introduced, allowing an investigation of the local crystallographic phase, orientation and grain structure. Here, strong crystallographic textures are observed in dependence of the substrate, doping concentration and annealing temperature. Based on these results, the observed reliability behavior in the electronic devices is explainable and engineering of the present defect landscape enables further optimization. Finally, the behavior in neuromorphic devices is explored as well as process and design guidelines for the desired behavior are provided.:Abstract i Abstract ii List of Figures vi List of Tables x Acronyms xi Symbols xiv 1 Introduction 1 2 Theoretical background 3 2.1 Behavior of ferroelectric materials 3 2.1.1 Phase transitions at the Curie temperature 4 2.1.2 Domains, domain walls, and microstructure 5 2.2 Ferroelectricity in HfO2 6 2.2.1 Thermodynamics and kinetics 8 2.2.2 Antiferroelectric-like behavior, wake-up effect, and fatigue 11 2.2.3 Piezo- and pyroelectric effects 13 2.3 Ferroelectric FETs 13 2.3.1 Endurance, retention and variability 14 2.3.2 Neuromorphic devices 15 3 Methodology 17 3.1 Electrical analysis 17 3.1.1 Capacitors 17 3.1.2 FeFETs 19 3.2 Structural and chemical analysis 20 3.2.1 Grazing-incident X-ray diffraction (GIXRD) 20 3.2.2 Transmission electron microscopy (TEM) 20 3.2.3 Time-of-flight secondary ion mass spectrometry (ToF-SIMS) 21 3.3 Transmission Kikuchi diffraction 21 3.4 Sample preparation 23 4 The physics of ferroelectric HfO2 25 4.1 Ferroelastic switching 25 4.2 Electric field-induced crystallization 30 5 Microstructure engineering 33 5.1 Microstructure and ferroelectric domains in HfO2 33 5.2 Doping influences 34 5.2.1 Zr doping (similar ionic radius) 35 5.2.2 Si doping (smaller ionic radius) 43 5.2.3 La doping (larger ionic radius) 50 5.2.4 Co-doping 50 5.3 Annealing influences 53 5.4 Interlayer influences 58 5.5 Interface layer influences 62 5.5.1 Structural differences in the HfO2 layer 63 5.5.2 Interactions of the interface and HfO2 layer 67 5.5.3 Substrate-driven changes in the Si-doping profile 73 5.6 Phenomenological wake-up behaviors and process guidelines 77 6 HfO2-based ferroelectric FETs 81 6.1 Endurance, retention and variability 81 6.1.1 Analytic model of HfO2-based FeFETs 84 6.1.2 Endurance improvements by interface fluorination 94 6.2 Neuromorphic devices and circuits 98 6.2.1 Current peroclation paths in FeFETs 100 6.2.2 Material and stack influences on synaptic devices 105 6.2.3 Reliability aspects of synaptic devices 106 7 Conclusion and outlook 109 Appendix 142 Density-functional-theory calculations 142 Supplementary Figures 143 Publications 145 Acknowledgment 156 Declaration 15

Optimization of performance and reliability of HZO-based capacitors for ferroelectric memory applications

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

Demonstration of versatile nonvolatile logic gates in 28nm HKMG FeFET technology

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