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Introduction

Spin-orbit torque oscillators have recently emerged as promising candidates for neuromorphic computing due to their low power consumption, high-speed operation, and non-volatility. This thesis investigates the potential of spin-orbit torque oscillators in neuromorphic computing applications, exploring their unique physics and potential advantages for brain-inspired computing systems.

1.1 Introduction
1.2 Background of study
1.3 Problem Statement
1.4 Objective of study
1.5 Limitation of study
1.6 Scope of study
1.7 Significance of study
1.8 Structure of the Thesis
1.9 Definition of terms

Chapter 2: Literature Review
2.1 Overview of neuromorphic computing
2.2 Introduction to spin-orbit torque oscillators
2.3 Comparison with other neuromorphic computing approaches
2.4 Previous research on spin-orbit torque oscillators
2.5 Applications of spin-orbit torque oscillators in other fields
2.6 Challenges and limitations of spin-orbit torque oscillators
2.7 Future directions for spin-orbit torque oscillators in neuromorphic computing
2.8 Current state of the art in neuromorphic computing
2.9 Gap analysis and research opportunities
2.10 Summary of literature review

Chapter 3: System Design and Methodology
3.1 Selection of spin-orbit torque oscillator parameters
3.2 Simulation tools and methodology
3.3 Design of neuromorphic computing system incorporating spin-orbit torque oscillators
3.4 Testing and validation procedures
3.5 Data analysis techniques
3.6 Optimization strategies
3.7 Performance metrics
3.8 Ethical considerations

Chapter 4: System Implementation
4.1 Fabrication of spin-orbit torque oscillators
4.2 Integration into neuromorphic computing architecture
4.3 Characterization and measurement techniques
4.4 Hardware and software requirements
4.5 Prototyping and testing
4.6 Performance evaluation
4.7 Comparison with theoretical predictions
4.8 Scalability and robustness considerations

Chapter 5: Conclusion and Summary
5.1 Summary of findings
5.2 Implications for neuromorphic computing
5.3 Contributions to the field
5.4 Recommendations for future research
5.5 Conclusion and final remarks

Thesis Overview on Spin-orbit torque oscillators for neuromorphic computing

Neuromorphic computing, inspired by the human brain’s ability to process information efficiently and adaptively, is a rapidly growing field with the potential to revolutionize traditional computing paradigms. Spin-orbit torque oscillators, which utilize the spin-orbit coupling effect to generate spin currents and manipulate magnetic domains, have attracted significant attention for their potential applications in neuromorphic computing systems. This thesis aims to explore the unique physics of spin-orbit torque oscillators and investigate their suitability for neuromorphic computing applications.

Chapter 1 provides an introduction to the research topic, including the background of the study, problem statement, objectives, limitations, scope, significance, structure of the thesis, and definition of terms. Chapter 2 presents a comprehensive literature review on neuromorphic computing, spin-orbit torque oscillators, comparison with other computing approaches, previous research, challenges, applications, and future directions. Chapter 3 details the system design and methodology, including parameter selection, simulation tools, design of neuromorphic computing systems, testing procedures, data analysis techniques, optimization strategies, and ethical considerations.

Chapter 4 focuses on system implementation, covering the fabrication of spin-orbit torque oscillators, integration into computing architectures, characterization, measurement techniques, hardware/software requirements, prototyping, testing, performance evaluation, comparison with theoretical predictions, scalability, and robustness considerations. Finally, Chapter 5 concludes the thesis with a summary of findings, implications for neuromorphic computing, contributions to the field, recommendations for future research, and final remarks.

Through this comprehensive investigation, the thesis aims to contribute to the understanding of spin-orbit torque oscillators for neuromorphic computing and pave the way for future advancements in brain-inspired computing systems.

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