A research team led by Prof. WAN Yinhua from the Institute of Process Engineering has developed a machine learning framework to analysis virus filtration processes in therapeutic protein purification. The new method enables intelligent identification of critical parameters affecting virus retention efficiency and provides predictive guidance for process optimization.
A research team led by Prof. WANG Shuqiang from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences introduced a Prior-Guided Adversarial Learning with Hypergraph (PALH) model for predicting abnormal connections in Alzheimer's disease.
An international research team led by the Shanghai Astronomical Observatory has demonstrated that applying pixelized strong-lensing modeling on a galaxy cluster scale can significantly improve the precision of the inferred Hubble constant—a key parameter that describes the expansion rate of the universe.
The High Intensity heavy-ion Accelerator Facility (HIAF), constructed by the Institute of Modern Physics and one of China's major scientific and technological infrastructure projects, successfully completed commissioning with beam on October 28, marking a crucial milestone in its construction.
A research team from the Xinjiang Technical Institute of Physics and Chemistry of the Chinese Academy of Sciences adopted a synergistic optimization strategy to successfully synthesize three novel rare-earth metal borate fluorides.
A team led by GAO Xiang from the Shenzhen Institute of Advanced Technology of the Chinese Academy of Sciences, along with XIA Chuan from the University of Electronic Science and Technology of China, developed an artificial ocean carbon recycling system that captures CO2 from seawater and directly converts it into succinic acid.
Researchers from Xishuangbanna Tropical Botanical Garden of the Chinese Academy of Sciences investigated the intraspecific genome size variation and its role in ecological adaptation in the hexaploid plant Rorippa indica. The findings showed that plants can adapt to tropical environments by significantly enlarging their genomes.
A research team from the Wuhan Botanical Garden of the Chinese Academy of Sciences, carried out a systematic study in the subtropical mountain forest of Badagongshan.
As extreme weather events become more frequent, scientists are searching for clues in the chaotic atmosphere, such as El Niño-Southern Oscillation, sea ice, the polar vortex, and tropical convection, to improve forecasts. These factors are key to predicting weather and climate, and their anomalies often relate to extreme events. But when examining a specific event, do we risk oversimplifying causality by confusing general patterns with specific roles?
A research team from the Institute of Geology and Geophysics of the Chinese Academy of Sciences has found that lunar soil samples brought back by China’s Chang’e-6 mission contain high concentrations of OH/H₂O and low deuterium-to-hydrogen (D/H) ratios. These characteristics align with lunar water originating from the solar wind, the team noted.
A new study led by Prof. LI Xiaosong from the Aerospace Information Research Institute of the Chinese Academy of Sciences has evaluated land productivity dynamics (LPD) across the African Great Green Wall (GGW) between 2013 and 2022.
A new study introduces an artificial intelligence-driven remote sensing framework designed to map the potential for forage cultivation across northern China's drylands, with a particular focus on the middle reaches of the Yellow River. The study identifies optimal forage-growing belts at the kilometer scale, delivering data and decision-ready tools to underpin ecological protection, sustainable agricultural practices, and national feed and food security.
A research team led by Prof. GE Ziyi from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences, in collaboration with Prof. QU Bo from Peking University, has developed a novel passivator soluble in low-polarity solvents, achieving a stable perovskite solar cell (PSC) with a power conversion efficiency (PCE) of up to 26.07%.
A research team led by Prof. YE Jichun from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences, has developed a novel multifunctional cage-like diammonium chloride molecule. This molecule effectively minimizes interfacial energy losses, allowing the resulting perovskite/silicon tandem solar cells (TSCs) to achieve high efficiency and stability.
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