[ad_1] Introduction In recent years, there has been a growing interest in the development of energy harvesting textiles as a means to generate electricity from ambient sources such as sunlight, heat, and mechanical vibrations. Among…
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[ad_1] Introduction: Spin wave logic devices have garnered significant attention in recent years as potential candidates for the next generation of low-power, high-speed computing systems. These devices utilize the spin wave phenomenon to transmit and…
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[ad_1] Introduction: Memristor-based neuromorphic systems have gained significant attention in recent years due to their potential in mimicking the structure and function of the brain. These systems utilize memristors, which are non-linear passive circuit elements…
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[ad_1] Introduction Photonic crystals are periodic structures that have the ability to manipulate light in unique and interesting ways. This manipulation of light can lead to a wide range of applications, such as in telecommunications,…
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[ad_1] Introduction: Plasmonics has emerged as a promising field of research for enhancing the efficiency of solar cells by manipulating light-matter interactions at the nanoscale. By harnessing the unique properties of surface plasmons, researchers have…
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[ad_1] Introduction Spintronics, short for spin electronics, is an emerging technology that utilizes the spin of electrons to store, process, and communicate information. Spintronics-based memory devices have the potential to revolutionize the field of data…
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[ad_1] Introduction Electromagnetic cloaking techniques have garnered significant interest in recent years due to their potential applications in various fields such as defense, telecommunications, and medical imaging. The ability to manipulate electromagnetic waves to render…
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[ad_1] Introduction: Piezoelectric energy harvesting systems have gained attention in recent years as a promising technology for converting ambient mechanical energy into electrical energy. These systems utilize the piezoelectric effect, where certain materials can generate…
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[ad_1] Introduction Compressive sensing is a cutting-edge signal processing technique that has rapidly gained popularity in recent years due to its potential to revolutionize the way radar systems operate. Radar systems are critical tools used…
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[ad_1] Introduction Optical Neural Networks (ONNs) have emerged as a promising technology for advanced computing and machine learning applications. By integrating optics and neural networks, ONNs offer high-speed parallel processing capabilities and low power consumption,…
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