Hydrogels keep solar panels cool, efficient, and durable
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Updates every hour. Last Updated: 11-Sep-2025 12:11 ET (11-Sep-2025 16:11 GMT/UTC)
Stronger cell phone signals, more accurate sensors and cleaner energy may be achieved by adding a simple step to the industrial fabrication process of certain semiconductor materials, documented in a recent study led by engineering researchers at the University of Michigan.
A group of researchers, including scientists from the DTU National Food Institute, have developed a method that, with the help of artificial intelligence and DNA decoding, can predict how well disease-causing bacteria such as Listeria tolerate disinfectants. This research may become a valuable weapon in the fight against harmful bacteria in the food industry.
Tianjin Normal University (Prof. Cheng-Peng Li) and Southeast Normal University (Prof. Yan-Qian Lan) have developed crystalline porous framework (CPF) composite beads to trap 99TcO4– in nuclear wastewater. 1 g of beads processed 4.8 L of pre-treated simulated waste, with residual Tc levels reduced to 0.026 ppb—significantly below the WHO (0.159 ppb) and U.S. EPA (0.053 ppb) drinking water standards (calculated from nonradioactive surrogate ReO4–). This scalable strategy enables deep purification of trace radionuclide, enabling industrial deployment of nanoscale adsorbent technologies.
Found in knee replacements and bone plates, aircraft components, and catalytic converters, the exceptionally strong metals known as multiple principal element alloys (MPEA) are about to get even stronger through to artificial intelligence.
Sanket Deshmukh, associate professor in chemical engineering, and his team have designed a new MPEA with superior mechanical properties using a data-driven framework that leverages the supercomputing power of explainable artificial intelligence (AI). Their findings, supported by funding from the National Science Foundation, were recently published in Nature’s npj Computational Materials.