A team led by Prof. ZHENG Mingjie from Institute of Nuclear Energy Safety Technology, Hefei Institutes of Physical Science (HFIPS) of the Chinese Academy of Sciences (CAS) recently proposed a property-oriented design strategy of high-strength ductile reduced activation ferritic-martensitic (RAFM) steels based on machine learning.
Chlorine atoms (Cl) have higher reactivity than other oxidants (OH radicals, O3, etc.) in the atmosphere. In recent years, researchers found increased concentrations of Cl precursors in the inland regions. The Cl-initiated atmospheric oxidation reactions become more and more important.
Recently, a team led by Prof.YU Zheng from Institute of Plasma Physics, Hefei Institutes of Chinese Academy of Sciences, proposed a new method to accelerate Monte Carlo large-scale shielding simulation, in cooperation with the Institute of Neutron Physics and Reactor Technology (INR), Karlsruhe Institute of Technology (KIT), Germany.
In a review paper recently published in Journal of Nuclear Materials, a research team led by Prof. Qunying Huang from Hefei Institutes of Physical Science (HFIPS) of Chinese Academy of Sciences (CAS) introduced the latest progresses of the Reduced Activation Ferritic/Martensitic Steels (RAFM) in China.
Recently, the book Dye-Sensitized Solar Cells has been published by Walter De Gruyter, Berlin/Boston and China Science Publishing & Media Ltd.