Recently, a research group from the Hefei lnstitutes of Physical Science (HFIPS) of the Chinese Academy of Sciences developed an approach that can facilitate rapid detection of both positive and negative ions of four toxic metabolites derived from 2,4,6-Trinitrotoluene (TNT), allowing for the detection of residual metabolites in the human body and providing valuable health warnings.
Recently, a team led by Prof. HUANG Qing from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, successfully used the gas-liquid interface dielectric barrier (DBD) low-temperature plasma (LTP) technology to prepare a series of Cu metal organic framework (MOF) nanozymes.
Recently, the research team led by Prof. WANG Hongqiang from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences proposed a wide-ranging cross-modality machine vision AI model.
A research group led by Prof. CHEN Xueyuan from Fujian Institute of Research on the Structure of Matter developed a novel NIR-CP light-responsive hybrid CuInSe2@ZnS quantum dots (CISe@ZnS QDs) hydrogel (QDs@L/D-Gel) for achieving distinctly enhanced therapeutic efficacy in vitro and in vivo upon exposure to 808-nm CP light.
A team of researchers led by Prof. LIU Chi, Prof. SUN Dongming and Prof. CHENG Huiming from the Institute of Metal Research (IMR) proposed a novel hot-carrier generation mechanism named as the “stimulated emission of heated carriers (SEHC)” and developed an innovative hot-emitter transistor (HOET), achieving an ultralow sub-threshold swing less than 1 mV/dec and a peak-to-valley current ratio exceeding 100, provide a prototype of low power and multifunctional device for the post-Moore era .
A team of researchers led by Professor XIE Chengjun and Associate Professor ZHANG Jie from the Hefei Institutes of Physical Science of the Chinese Academy of Sciences, inspired by causal inference, developed an innovative Decoupled Feature Learning (DFL) framework to address the challenge of distribution bias in crop pest recognition.
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