[ad_1] Introduction Memristor-based analog neural networks have gained significant attention in recent years due to their potential to revolutionize traditional computing systems. These networks utilize memristors, a type of passive two-terminal electrical component that can…
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[ad_1] Introduction Spintronic racetrack memory is a cutting-edge storage technology that holds immense potential for revolutionizing the field of data storage. By harnessing the spin of electrons as a means of encoding information, spintronic racetrack…
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[ad_1] Introduction The field of terahertz plasmonics has recently gained significant attention due to its potential applications in communication, sensing, imaging, and spectroscopy. Terahertz plasmonic modulators, in particular, have become a topic of interest for…
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[ad_1] Introduction Neuromorphic olfactory systems have gained significant interest in recent years due to their potential applications in chemical sensing. These systems are inspired by the biological olfactory system, which is capable of detecting and…
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[ad_1] Introduction Diabetes is a chronic metabolic disorder characterized by high levels of blood glucose, also known as hyperglycemia. It affects millions of people worldwide and is associated with serious complications such as heart disease,…
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[ad_1] Introduction: Acoustic metamaterials are a class of artificially engineered materials that exhibit unique acoustic properties not found in naturally occurring materials. These materials have gained significant attention in recent years due to their potential…
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[ad_1] Introduction Spin-orbit coupling in Weyl semimetals is a fascinating area of research that has garnered significant attention in recent years. Weyl semimetals are a class of materials that exhibit unique properties due to their…
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[ad_1] Introduction Neuromorphic robotic locomotion control is a rapidly evolving field of research that focuses on integrating neuromorphic principles into robotic systems to enable more efficient and adaptive locomotion capabilities. By drawing inspiration from the…
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[ad_1] Introduction Quantum-inspired differential evolution algorithms have gained increasing attention in recent years due to their ability to effectively solve optimization problems inspired by principles of quantum mechanics. These algorithms combine the flexibility and efficiency…
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[ad_1] Thesis Overview: Introduction: Memristor-based spiking neural networks have gained significant attention in recent years due to their potential for mimicking the behavior of biological neural networks. These networks offer the capability to process temporal…
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