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Seed crystals push solvent‑free perovskite cells to 25.53% efficiency

Solar cells, devices that can convert sunlight into electricity, are now widely used in many countries, where they are helping to reduce reliance on electricity generated from fossil fuels. While most solar cells used today are made of silicon, energy engineers have been assessing the potential of cells based on other materials with lower manufacturing costs.

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Bubble control tech unlocks electricity-free hydrogen peroxide production at industrial-level rates

A research team led by Professor Sunghak Park of the Department of Future Energy Engineering at Sungkyunkwan University, with research teams from Korea University and Northwestern University, has developed an innovative electrochemical system capable of producing eco-friendly hydrogen peroxide (H2O2) in large quantities and with high efficiency without an external power supply.

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Wearable patch vibrates when it detects environmental hazards

Researchers have created a wearable patch that can detect hazards in the environmentβ€”such as dangerous gases or heavy metals in waterβ€”and then notify wearers by vibrating against their skin. The researchers have also extended the work to create an "e-skin" for robotic devices, allowing robots to detect and avoid hazards in their environment. The paper is published in the journal Device.

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Tiny memory switches could shrink 5G and 6G radio-frequency chips

Mobile phones today handle far more wireless signals and services than earlier generations. The same is true of the sophisticated equipment behind mobile networks, such as base stations, and emerging technologies such as self-driving cars. Inside these systems, radio-frequency switches act like traffic controls, allowing signals to pass or blocking them as needed.

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Prototype device polarizes light with heat for denser optical signals

Researchers have found a way to speed up components that control light polarization in optical communication and computing. Polarization is a property of light that can carry additional information along with the primary signal, enabling higher data throughput. State-of-the-art components that control polarization in optical circuits have to be physically rotated many times a second, wasting precious time. Instead, this can be achieved by varying the temperature of the material the light passes through.

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AI extracts hidden material rules from microscopic data to predict large-scale behavior

Researchers from the National University of Singapore (NUS) have developed artificial intelligence (AI) methods that learn the large-scale behavior of complex materials from microscopic data. By automatically identifying a small number of hidden variables that capture the collective behavior of a system, the methods can predict how materials evolve over time while reducing the need for costly simulations.

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Ultraprecise battery scan maps nanoscale electrode thickness variations to improve EV fire safety

A KAIST research team has developed a method capable of detecting minute variations in battery electrode thickness that can contribute to thermal runaway with a precision equivalent to approximately one ten-thousandth of the diameter of a human hair, all without disassembling or damaging the battery. The technology is expected to improve battery safety and quality by identifying invisible defects during the manufacturing process.

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Rotating metamaterial units could enable long-range wave control beyond conventional limits

A Seoul National University College of Engineering research team, led by Professor Joo Hwan Oh of the Department of Mechanical Engineering, in collaboration with Dr. Myung Hwan Bae of the Korea Research Institute of Standards and Science (KRISS), has developed a new elastic metamaterial platform that enables the free design of how externally applied forces and vibrations propagate.

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Quantum randomness helps neural network recognize troublesome handwritten digits

Quantum computing and AI are among the most rapidly developing modern technologies. AI, in the form of machine learning, has been deployed for decades to recommend movies and TV shows and make it easier to search for images. Over the past several years, large language models have permeated even more facets of daily life, from writing emails to producing images, videos and songs in response to requests expressed in a few written lines.

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