Numerous memory types for computing devices have emerged in recent years, aiming to overcome the limitations imposed by traditional random access memory (RAM). Magnetoresistive RAM (MRAM) is one such memory type which offers several advantages over conventional RAM, including its non-volatility, high speed, increased storage capacity and enhanced endurance.

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Dipole toroidal modes are a unique set of excitations that are predicted to occur in various physical systems, ranging from atomic nuclei to metamaterials. What characterizes these excitations, or modes, is a toroidal distribution of currents, which results in the formation of vortex-like structures.

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Computer scientists at the University of California San Diego have developed a method for generating highly realistic computer-generated images of fluid dynamics in elements such as smoke.

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Nuclear fission is the most reliable source of antineutrinos, but they are difficult to characterize. A recent study suggests how their emission can be simulated most effectively.

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Prof Zhang Zhiyong’s team at Peking University developed a heterojunction-gated field-effect transistor (HGFET) that achieves high sensitivity in short-wave infrared detection, with a recorded specific detectivity above 1014 Jones at 1300 nm, making it capable of starlight detection. Their research was recently published in the journal Advanced Materials, titled “Opto-Electrical Decoupled Phototransistor for Starlight Detection.” […]

Detecting infrared light is critical in an enormous range of technologies, from remote controls to autofocus systems to self-driving cars and virtual reality headsets. That means there would be major benefits from improving the efficiency of infrared sensors, such as photodiodes.

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A research team has experimentally calculated the Jones polynomial based on the quantum simulation of braided Majorana zero modes. The research team determined the Jones polynomials of different links through simulating the braiding operations of Majorana fermions. This study was published in Physical Review Letters.

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Super-resolution (SR) technology plays a pivotal role in enhancing the quality of images. SR reconstruction aims to generate high-resolution images from low-resolution ones. Traditional methods often result in blurred or distorted images. Advanced techniques such as sparse representation and deep learning-based methods have shown promising results but still face limitations in terms of noise robustness […]