USTC

A research team led by Academician GUO Guangcan from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS), in collaboration with the research team at the University of Turku, Finland,…

A research team led by Prof. ZENG Jie and Prof. GENG Zhigang from the University of Science and Technology of China (USTC) of the Chinese Academy of Sciences (CAS) has designed a tandem catalyst to improve the electroreduction of nitrate…

On April 29th, 2024, thirty international students from USTC embarked on a journey to explore rural education in China, under the theme of "Perceiving China, Rural Revitalization, and Building a Strong Education Nation." They conducted a…

A team of Chinese scientists have created the world's first memory-memory entanglement in a multi-node quantum network over a metropolitan area. The advancement has significantly extended the range of practical quantum entanglement…

A research team led by Associate Professor LIU Huan from the School of Humanities and Social Sciences of University of Science and Technology of China (USTC) proposes for the first time a historical periodization of the development of…

Bivalves, such as freshwater mussels, open their shells to feed and reproduce, while closing them tightly to protect their soft bodies from threats from predators such as crabs. Connecting the two valves of every bivalve shell is a hinge,…

A new mathematical link between two key equations — one that deals with the very big and the other, the very small — has been developed by a young mathematician in China1. The mathematical discipline known as differential geometry is…

NASA’s Apollo 16 and 17 lunar missions landed on the Moon in April and December of 1972. Had either arrived in August, the astronauts would have been at very great risk of death from a potentially fatal dose of radiation from a solar storm.…

Drivers instinctively slow down when they see a cyclist ahead or a traffic light turning red. Their reactions depend on the seamless fusion of information gained through sight and sound with knowledge of road conditions, human behaviour and…

Generative Adversarial Network (GAN) is widely used to synthesize intricate and realistic data by learning the distribution of authentic real samples. However, a significant challenge that GAN faces is mode collapse, where the diversity of…