Wuhan, China – A landmark study published today in National Science Review introduces "Pore Science and Engineering" as a transformative paradigm for designing porous materials. Led by Prof. Bao-Lian Su (Wuhan University of Technology) and Prof. Ming-Yuan He (East China Normal University), the research systematically classifies two evolutionary stages of porous materials while proposing quantitative design principles for future applications in energy, catalysis, and environmental remediation.

Climate modeling leveraged by calibrating the so-called “soil color” parameter to enhance surface albedo simulation in the Weather Research and Forecasting model. This weakens land-atmosphere interactions with attenuated sensible heat and evapotranspiration, and suppresses water vapor flow into the Tibetan Plateau. Eventually, it reduces summertime precipitation wet bias by ~16% on the plateau. This study highlights the promise of enhancing climate modeling through the optimization of key land surface parameters, which is highly affordable through satellite remote sensing.

Researchers from Shenyang University of Chemical Technology explored the application potential of the Catal-GPT in catalyst design, which was built upon the qwen2 large language model, proposing a new paradigm for AI-driven catalyst development. The results showed that the qwen2 model could provide the complete preparation workflows and the detailed optimization suggestions through conversational interaction. Future work aims for cross-system adaptability to transform catalyst discovery from trial-and-error to precision targeting.

Chinese companies held the strongest foothold in global innovation, commanding seven of the Top 10 positions in the 2025 IFI Global 250 ranking.

They’ve survived for billions of years in boiling acid, deep-sea vents and salt flats. Now, some of Earth’s oldest life forms — microbes called Archaea — are offering a new weapon in the fight against one of today’s most urgent health threats: antibiotic resistance. In a new study published in Nature Microbiology, researchers at the University of Pennsylvania used artificial intelligence to identify previously unknown compounds in Archaea that could fuel the development of next-generation antibiotics.

A research team headed by the University of Zurich has developed a powerful new method to precisely edit DNA by combining cutting-edge genetic engineering with artificial intelligence. This technique opens the door to more accurate modeling of human diseases and lays the groundwork for next-generation gene therapies.

Communities supporting America's meat industry have worse air quality and more vulnerable populations compared with similar communities without feedlots, according to new research from the University of Michigan.