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 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.
SHEN Qilong's lab from the Shanghai Institute of Organic Chemistry of the Chinese Academy of Sciences, along with Professor K. N. Houk from the University of California, Los Angeles, provided solid evidence that the Ullmann-type reaction might proceed via a Cu(I)/Cu(III)/Cu(II)/Cu(III)/Cu(I) catalytic cycle.
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.
A research team led by Prof. WANG Guodong from the Institute of Genetics and Developmental Biology has developed a highly sensitive liquid chromatography–mass spectrometry (LC–MS) detection method capable of distinguishing between the two chiral forms of α-bitter acids.
Prof. ZHANG Yuanming's team from the Xinjiang Institute of Ecology and Geography have unveiled a previously underestimated factor in greenhouse gas emissions from arid environments: hydroxyl radicals, often dubbed "free radicals".
A research team led by Prof. WANG Li from the Aerospace Information Research Institute of the Chinese Academy of Sciences has found that ecosystems with more complete ecological succession and longer existence exhibit strong adaptability to drought.
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 has developed a nanocomposite-modified microelectrode array (MEA) that enables long-term, high-sensitivity monitoring of neuronal activity during hibernation. The study, led by Prof. CAI Xinxia from the Aerospace Information Research Institute of the Chinese Academy of Sciences, sheds light on how specific brain cells sustain life under extremely low metabolic states.
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.
A research team from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences, has developed a new integrated poly(oxime-urethane) coating tailored for full-ocean-depth use. The material delivers antifouling and anticorrosion performance for marine engineering applications.
86-10-68597521 (day)
86-10-68597289 (night)
52 Sanlihe Rd., Xicheng District,
Beijing, China (100864)
Copyright © 2002 - Chinese Academy of Sciences
