[ad_1] Introduction In recent years, the emergence of photonic integrated circuits (PICs) has revolutionized the field of optical communication and signal processing. These compact and highly efficient devices have paved the way for novel applications…
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[ad_1] Introduction Spintronic tunnel junctions have emerged as a promising candidate for the development of artificial synapses in neuromorphic computing systems. These devices utilize the spin degree of freedom of electrons in addition to their…
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[ad_1] Introduction In recent years, Terahertz (THz) plasmonic photodetectors have gained significant attention due to their promising applications in various fields such as security screening, medical imaging, and communication systems. These devices offer several advantages…
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[ad_1] Introduction Neuromorphic tactile sensing is a cutting-edge technology that aims to mimic the sense of touch in robotics, particularly in soft robotics. Soft robotics is a rapidly growing field that focuses on creating robots…
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[ad_1] Introduction Electromagnetic meta-surfaces are advanced materials that are capable of controlling and manipulating electromagnetic waves with high efficiency and flexibility. These meta-surfaces have gained significant attention in recent years due to their ability to…
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[ad_1] Introduction: Quantum key distribution (QKD) with entangled photons is a cutting-edge technology in the field of quantum cryptography that offers unprecedented levels of security for communication systems. By leveraging the principles of quantum mechanics,…
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[ad_1] Introduction In recent years, there has been a growing interest in the field of spintronics and its potential applications in logic gates. Spin caloritronic logic gates, a relatively new concept in the field of…
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[ad_1] 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…
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[ad_1] Introduction Quantum-dot field-effect transistors (QD-FETs) have emerged as promising candidates for next-generation electronics due to their unique properties, such as discrete energy levels and tunable band gaps. These devices offer the potential for high…
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[ad_1] Introduction Recent advancements in artificial intelligence and machine learning have shown great promise in solving complex problems across various domains. One of the key areas of interest in this field is reinforcement learning, which…
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