Optimization of key land surface albedo parameter reduces wet bias of climate modeling for the Tibetan Plateau
Peer-Reviewed Publication
Updates every hour. Last Updated: 21-Aug-2025 05:11 ET (21-Aug-2025 09:11 GMT/UTC)
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.
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.