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.
Researchers from the Hefei Institutes of Physical Science, in collaboration with the Shenzhen International Graduate School of Tsinghua University and Suzhou University of Technology, have developed a natural electron donor–assisted healing and targeted surface reconstruction strategy that enables the direct regeneration of degraded lithium iron phosphate cathode materials from retired power batteries.
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 Qingdao Institute of Bioenergy and Bioprocess Technology of the Chinese Academy of Sciences has developed a confined crystallization strategy. This approach reconstructs—i.e., redesigns—the crystallization pathway during spray coating at its source through solvation structure regulation. Specifically, the team established a localized high-concentration (LHC) precursor system within individual spray droplets, enabling precise control over nucleation behavior during film formation.
A research team from the Xinjiang Technical Institute of Physics and Chemistryof the Chinese Academy of Scienceshas madeprogress in the field of ultra-thin temperature sensors. The team adopted a "water-soluble sacrificial layer-assisted transfer" strategy, which resolves the process compatibility issue between high-performance sensitive materials and flexible substrates.
Researchers from the Institute of Genetics and Developmental Biology developed an AI model named TillerPET, which overcomes these longstanding limitations by enabling simultaneous in-situ high-throughput phenotyping of tiller number and compactness from post-harvest rice RGB images. It demonstrates stable performance across multi-year, multi-location rice RGB datasets.
A research team led by Prof. ZHU Min—member of the Chinese Academy of Sciences (CAS) and affiliated with the CAS Institute of Vertebrate Paleontology and Paleoanthropology—has identified a new species of fossil lungfish from Early Devonian deposits in Zhaotong, Yunnan Province. The findings help fill a long-standing gap in scientists' understanding of lungfishes' early evolutionary history.
Researchers from the Institute of Applied Ecology of the Chinese Academy of Sciences has developed a "top-down" synthetic microbiome strategy to enrich microbial consortia capable of efficient lignin degradation from straw compost and straw-returning soils, providing new insight into how microbial communities work together to break down lignin.
A team of scientists from the Institute of Atmospheric Physics (IAP) of the Chinese Academy of Sciencesrecently conducted a 50-year simulation of the Martian dust cycle using the Global Open Planetary Atmospheric Model for Mars (GoMars). This new modelcanpredict key characteristics of the Martian dust cycle and global-scale dust storms.
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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