[ad_1] Introduction: Optical tweezers, also known as laser tweezers, are a powerful tool used in the field of biophysics and cell manipulation. The use of focused laser beams to trap and manipulate microscopic particles has…
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[ad_1] **Introduction:** Spin-wave logic gates have emerged as a promising alternative to traditional Boolean logic gates for non-Boolean computing. By utilizing spin waves, which are collective excitations of spins in magnetic materials, these logic gates…
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[ad_1] Introduction In recent years, the field of pattern recognition has seen significant advancements due to the emergence of memristor technology. Memristors are non-volatile memory devices that exhibit unique resistance switching behavior, making them ideal…
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[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 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: Optoacoustic imaging is a cutting-edge imaging modality that combines the high spatial resolution of ultrasound with the high contrast of optical imaging. This technology has shown great promise in the field of dermatology,…
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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 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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