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.
A research team led by the National Astronomical Observatories of the Chinese Academy of Sciences, in collaboration with international partners, has released the strongest evidence to date of disk-jet co-precession in the TDE known as AT2020afhd—a long-predicted outcome of spacetime dragging caused by a spinning black hole.
A research team from the Institute of Modern Physics has directly measured the masses of two highly unstable atomic nuclei, phosphorus-26 and sulfur-27. These precise measurements provide crucial information for determining the nuclear reaction rate during X-ray bursts, advancing our understanding of how elements are synthesized under such extreme conditions.
A team led by Prof. ZHOU Yongjin from the Dalian Institute of Chemical Physics, along with Prof. FEI Qiang from Xi'an Jiaotong University, developed a yeast cell factory to produce L-lactate from methanol as the sole carbon source, and evaluated the commercial potential and environmental impacts of this bioprocess.
A team led by Prof. CHEN Zhongwei and Assoc. Prof. MAO Zhiyu from the Dalian Institute of Chemical Physics of the Chinese Academy of Sciences, and Assoc. Prof. ZHANG Zhaosheng from the Beijing Institute of Technology, developed a comprehensive real-world data–driven framework for EVs range prediction and intelligent management.
A research team led by Prof. XU Zhiheng from the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences identified Tapt1, together with its partner Suco, as important genes for brain development, which play a vital role in maintaining the balance between protein synthesis and degradation.
Researchers from WANG Guodong‘s lab at the Institute of Genetics and Developmental Biology of the Chinese Academy of Sciences uncovered the long-elusive biosynthetic pathway of glycitein, a key soybean isoflavonoid, whoes production determines the plant’s resistance to Phytophthora sojae.
A team of researchers led by Prof. DU Zhixue from the Guangzhou Institute of Geochemistry of the Chinese Academy of Sciences has discovered that substantial amounts of water could have been efficiently "locked away" deep within the mantle as it crystallized from a molten state.
A team of researchers led by the Nanjing Institute of Geology and Palaeontology of the Chinese Academy of Sciences, in collaboration with colleagues from Shanghai Jiao Tong University, the University of Bristol, and Nanjing University, has identified the primary non-environmental factors controlling Lithium-to-Magnesium ratio (Li/Mg) fractionation.
A new study led by the Aerospace Information Research Institute of the Chinese Academy of Sciences, along with their collaborators, has demonstrated that high pressure can significantly enhance and precisely tune terahertz (THz) radiation from the two-dimensional semiconductor gallium telluride (GaTe).
A research team led by Prof. NIE Sheng from the Aerospace Information Research Institute of the Chinese Academy of Sciences has developed a new bathymetric mapping framework. This framework integrates the indirect inversion of land Elevation Satellite-2 (ICESat-2) LiDAR data with multi-source remote sensing observations. By combining wave-based indirect bathymetry, multi-source feature fusion, and a temporal sample-transfer strategy, it achieves high-accuracy, wide-coverage mapping in optically complex shallow waters.
A joint research team from the Institute of Metal Research and Zhengzhou University has achieved power conversion efficiency surpassing 20% in flexible modules capable of withstanding a range of external stresses. The study highlights the use of single-walled carbon nanotubes as window electrodes for scalable flexible perovskite solar modules.
A research team led by Prof. GE Ziyi from the Ningbo Institute of Materials Technology and Engineering of the Chinese Academy of Sciences has developed novel giant acceptors with an oxygenated linker, enabling the creation of highly efficient non-halogenated-processed organic solar cells (OSCs), with a power conversion efficiency of up to 20.02%.
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