中文 |

Newsroom

Mathematics
Physics
  • SMO results of different algorithms.png
    Researchers Propose Source Mask Optimization Technique for Extreme Ultraviolet Lithography

    Recently, researchers from the Shanghai Institute of Optics and Fine Mechanics (SIOM) have proposed a source mask optimization (SMO) technique for extreme-ultraviolet lithography based on thick mask model and social learning particle swarm optimization algorithm. Simulation results implicate that the proposed technique is prior to similar SMO techniques based on heuristic algorithms in optimization efficiency.

    Feb 26, 2021
  • Schematic plot for SERS detection of IL-6
    Researchers Develop Novel Aptamer-SERS Detection Approaches

    Recently, a team led by Prof. HUANG Qing at the Institute of Intelligent Machines of the Hefei Institutes of Physical Science (HFIPS) constructed a novel biosensor based on surface-enhanced Raman spectroscopy (SERS) to detect inflammatory Interleukin-6 (IL-6) protein in serum samples.

    Feb 26, 2021
  • View More
Chemistry
Life Sciences
  • Researchers Solve Puzzle of Water-to-Land Transition of Vertebrates

    A team led by Kunming Institute of Zoology of the Chinese Academy of Sciences, collaborating with domestic and overseas researchers, has unraveled the mystery of water-to-land transition of vertebrates by investigating the genomes of African lungfish, bichir, paddlefish, bowfin and alligator gar. They reported the findings in two studies both published in Cell.

    Feb 26, 2021
  • Emotional Cues Can Improve Event-based Prospective Memory in Bipolar Patients and Schizophrenia Patients

    Previous studies have suggested that emotional prospective memory (PM) cues may enhance PM performance, but few studies have examined whether these clinical populations can also acquire this enhancement effect. Dr. Raymond Chan's team from the Institute of Psychology and their collaborators from the Castle Peak Hospital and the University of Hong Kong have conducted a study to examine such an issue.

    Feb 25, 2021
  • View More
Earth Sciences
Information Tech
Tech Sciences
Contact Us
  • 86-10-68597521 (day)

    86-10-68597289 (night)

  • 86-10-68511095 (day)

    86-10-68512458 (night)

  • cas_en@cas.cn

  • 52 Sanlihe Rd., Beijing,

    China (100864)

Copyright © 2002 - Chinese Academy of Sciences