Heatproof microbes reveal molecular secrets of nature’s hottest recycling system
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Updates every hour. Last Updated: 22-Dec-2025 07:11 ET (22-Dec-2025 12:11 GMT/UTC)
An AI from the University of Würzburg autonomously controlled a satellite in orbit for the first time, demonstrating the potential of intelligent, self-learning space systems.
Dark matter accounts for approximately 85% of the universe’s total mass, yet its “invisibility” continues to challenge our understanding of physics. While the Standard Model has successfully described the structure of the visible universe, its limitations have driven scientists to explore ultralight exotic bosons—such as axions and dark photons—as motivative candidates for dark matter. Theoretical studies suggest that such new bosons could mediate exotic spin-dependent interactions beyond four fundamental forces, providing new avenues for detecting ultralight dark matter. However, terrestrial exotic-interaction searches have long been constrained by a fundamental trade-off: enhancing the signal of exotic spin interactions requires simultaneously increasing both the number of polarized spins and relative velocity, parameters that are inherently inversely coupled under laboratory conditions, leaving vast regions of theoretical parameter space unexplored.
Professor Xinhua Peng and Professor Min Jiang from the University of Science and Technology of China, in collaboration with multiple research institutions, have proposed the SQUIRE (Space-based QuantUm sensing for Interaction and exotic bosons Research Exploration) program—a space-based dark matter detection project. For the first time internationally, SQUIRE plans to deploy ultrasensitive quantum sensors aboard the China Space Station to search for potential exotic interactions mediated by dark matter candidate particles between the Earth’s geoelectron spins and the sensor spins. The scheme is projected to improve detection sensitivity by more than 7 orders of magnitude compared to terrestrial experiments. Furthermore, SQUIRE is expected to pave the way for a “space-ground integrated” quantum sensing network, opening new pathways for dark matter exploration in deep space. This paper was published on September 22 in National Science Review under the title “Quantum Sensors in Space: Unveiling the Invisible Universe.”
A team led by Xiao-Ming Chen and Pei-Qin Liao at Sun Yat-Sen University has created an electrolyzer with a MOF-based membrane. It enriches CO2 from air (0.04% to 2.05%) and flue gas (15% to 82.5%), then converts it to pure formic acid, achieving record efficiency and cutting costs by 15% vs. pure CO2 feedstocks.
Researchers may have unlocked a more sustainable and affordable way for producing key ingredients for everyday materials such as plastics, clothing fibers, and insulation foams. The secret: lead dioxide.