Recently, Professor Jiao Licheng's team at Xidian University conducted a systematic and in-depth review of the integration of large language models and evolutionary algorithms. The review, titled "When Large Language Models Meet Evolutionary Algorithms: Potential Enhancements and Challenges," was published in Research.

Just the word “quantum” can make even seasoned science teachers break into a sweat. But a national pilot program led by The University of Texas at Arlington is helping take the mystery out of the subject for students and educators alike. This week, 50 high school students and science teachers gathered at Arlington Martin High School to dive into the topic through Quantum for All, a program launched by Karen Jo Matsler, a professor of practice and master teacher in UT Arlington’s UTeach program. 

A team of international scientists headed by Prof. Marco Salvalaglio from TUD – Dresden University of Technology has found out that internal stresses—not just interface energy—play a key role in shaping the microstructure of crystalline materials. These findings challenge classical theories and could improve how we design materials for engineering and technology. The results have recently been published in the scientific journal “Proceedings of the National Academy of Sciences (PNAS)”.