[ad_1] Introduction Memristors are a type of non-linear passive two-terminal electrical component which was theorized in 1971 by Leon Chua. These components have gained significant attention in recent years due to their unique properties and…
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[ad_1] Introduction: Photonic neuromorphic processors have emerged as a promising technology in the field of artificial intelligence and neuromorphic computing. These processors combine principles from photonics and neuroscience to create energy-efficient and high-performance computing systems…
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[ad_1] Introduction In recent years, there has been a growing interest in Spin-orbit torque (SOT) magnetic field sensors due to their potential applications in various fields such as data storage, biomedical imaging, and compass navigation…
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[ad_1] Introduction Neuromorphic proprioceptive sensors have gained significant attention in recent years due to their potential to mimic sensory processes found in biological systems. These sensors, inspired by the sensory neurons in the human body,…
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[ad_1] Introduction: Optoacoustic imaging systems, also known as photoacoustic imaging, have emerged as a powerful imaging modality that combines the high spatial resolution of optical imaging with the high contrast and penetration depth of ultrasound…
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[ad_1] Introduction Spintronic magnetic tunnel junctions are a type of solid-state device that has gained significant attention in recent years due to their potential applications in various fields such as information storage, magnetic sensors, and…
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[ad_1] Introduction Neuromorphic vestibular sensors are a cutting-edge technology that mimics the biological systems found in the human inner ear to sense motion and orientation. These sensors have the potential to revolutionize a wide range…
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[ad_1] Introduction Optical frequency combs have revolutionized the field of optical frequency metrology, providing a precise and accurate way to measure optical frequencies. These combs consist of a series of equally spaced spectral lines that…
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[ad_1] Introduction: Acoustic metamaterials have gained significant attention in recent years due to their unique ability to manipulate sound waves in unconventional ways. These materials are engineered to have properties not found in natural materials,…
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[ad_1] Introduction Spin-based qubits have emerged as promising candidates for quantum computing due to their potential for longer coherence times and scalability. This thesis explores the design, implementation, and analysis of spin-based qubits for quantum…
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