[ad_1] Introduction Quantum-dot solar cells have gained significant attention in recent years due to their potential to improve the efficiency and performance of traditional solar cells. By utilizing quantum dots, which are nanoscale semiconductor particles,…
Read More
[ad_1] Introduction Spin-orbit torque (SOT) switching is a promising technique for achieving fast and energy-efficient magnetic switching in non-volatile memory devices. This phenomenon arises from the interaction between the electron’s spin and its orbital motion,…
Read More
[ad_1] Introduction In recent years, deep learning has significantly advanced the field of image classification. Convolutional neural networks (CNNs) have shown remarkable success in various image recognition tasks, such as object detection, face recognition, and…
Read More
[ad_1] Introduction: Memristor-based reservoir computing is a cutting-edge research area in the field of artificial intelligence and neuromorphic computing. The unique properties of memristors, such as non-volatility and low energy consumption, make them ideal candidates…
Read More
[ad_1] Introduction In recent years, there has been a growing interest in the field of acoustic meta-surfaces for various applications such as beam steering, sound absorption, and wave manipulation. Acoustic meta-surfaces are artificial structures that…
Read More
[ad_1] Introduction Spintronic magnetic field sensors have gained significant attention in recent years due to their potential application in various fields such as navigation systems, automotive industry, and biomedical devices. These sensors utilize the spin…
Read More
[ad_1] Introduction Spin-orbit coupling (SOC) in topological insulators has garnered significant attention in recent years due to its unique properties and potential applications in the field of spintronics. Topological insulators are materials that have insulating…
Read More
[ad_1] Introduction Spin-wave interferometers have gained significant interest in recent years due to their potential applications in spintronic devices and quantum information processing. These devices utilize the interference of spin waves, rather than conventional electromagnetic…
Read More
[ad_1] Introduction: Memristor-based spiking neural networks have emerged as a promising area of research in the field of artificial intelligence and neuromorphic computing. These networks leverage the unique properties of memristors, a novel type of…
Read More
[ad_1] Introduction Neuromorphic event-based vision sensors have gained significant attention in recent years due to their ability to mimic the functioning of the human visual system. These sensors operate on a fundamentally different principle compared…
Read More