[ad_1] Introduction In recent years, Optical Frequency Combs (OFCs) have emerged as a powerful tool for precision spectroscopy in astronomical applications. OFCs provide a highly stable and accurate frequency reference that can be used to…
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[ad_1] Introduction Spin-wave demultiplexers are a promising technology in the field of data communication and processing. These devices utilize spin waves, or magnons, in magnetic materials to transmit and manipulate information. By harnessing the properties…
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[ad_1] Introduction: With the increasing demand for high-speed and low-power analog signal processing in various applications such as neural networks, signal processing, and communication systems, there is a growing need for efficient analog multiplier circuits.…
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[ad_1] Introduction: In recent years, spintronics has emerged as a promising technology for the development of next-generation computing devices. Skyrmions, which are topologically stable magnetic spin textures, have attracted significant interest due to their potential…
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[ad_1] Introduction Terahertz (THz) metamaterial biosensors have gained significant attention in recent years due to their potential applications in biomedical and pharmaceutical fields. These sensors offer unique advantages such as high sensitivity, label-free detection, and…
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[ad_1] Introduction Neuromorphic visual processing has gained significant interest in recent years due to its potential applications in augmented reality. This cutting-edge technology aims to mimic the human brain’s ability to process visual information in…
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[ad_1] Introduction Quantum sensing with trapped ions is a cutting-edge research field that has gained significant interest in recent years. Trapped ions provide an ideal platform for quantum sensing due to their long coherence times,…
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[ad_1] Introduction: Spin-orbit torque magnetic random access memory (SOT-MRAM) is a promising emerging non-volatile memory technology that has gained significant attention in recent years due to its potential for high speed, low power consumption, and…
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[ad_1] Introduction Memristor-based neuromorphic learning has emerged as a promising approach for adaptive control in recent years. This technology combines the principles of memristors, which are non-linear passive devices that can remember and change their…
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[ad_1] Introduction Acoustic meta-surfaces have gained significant attention in recent years for their potential applications in various fields such as ultrasonic imaging. These surfaces are engineered to manipulate sound waves in ways that are not…
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