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| 1 | Controllable synthesis of highly crystallized mesoporous TiO2/WO3 heterojunctions for acetone gas sensing显示文摘Mesoporous semiconducting metal oxides(SMOs)heterojunctions are appealing sensors for gas detecting.However,due to the different hydrolysis and condensation mechanism of every metal precursor and the contradiction between high crystallinity and high surface area,the synthesis of mesoporous SMOs heterojunctions with highly o rdered mesostructures,highly crystallized frameworks,and high surface area remains a huge challenge.In this work,we develop a novel'acid-base pair'adjusted solvent evaporation induced self-assembly(EISA)strategy to prepare highly crystallized ordered mesoporous TiO2/WO3(OM-TiO2/WO3)heterojunctions.The WCl6 and titanium isopropoxide(TIPO)are used as the precursors,respectively,which function as the'acid-base pair',enabling the coassembly with the structure directing agent(PEO-b-PS)into highly ordered meso structures.In addition,PEO-b-PS can be converted to rigid carbon which can protect the meso structures from collapse during the crystallization process.The resultant OM-TiO2/WO3 heterojunctions possess primitive cubic mesostructures,large pore size(~21.1 nm),highly crystalline frameworks and surface area(~98 m2/g).As a sensor for acetone,the obtained OM-TiO2/WO3 show excellent re sponse/recovery perfo rmance(3 s/5 s),good linear dependence,repeatability,selectivity,and long-term stability(35 days). | Changyao Wang Yuhui Li Pengpeng Qiu Linlin Duan Wei Bi Yan Chen Dingyi Guo Yupu Liu Wei Luo Yonghui Deng | 2020 | Chinese Chemical Letters2020，31，5： | 4 |
| 2 | Preparation and Growth Mechanism of α-Si3N4 Whiskers显示文摘 | Bi Yuhui Yu Zhengbo Zhang Peizhi | 1991 | Science of Sintering1991，23，1： | 1 |
| 3 | Dual stacked partial least squares for analysis of near-infrared spectra显示文摘 | Yiming Bi Qiong Xie Silong Peng Liang Tang Yong Hu Jie Tan Yuhui Zhao Changwen Li | 2013 | Analytica Chimica Acta2013，，： | 1 |
| 4 | A machine learning model for textured X-ray scattering and diffraction image denoising显示文摘With the advancements in instrumentations of next-generation synchrotron light sources,methodologies for small-angle X-ray scattering(SAXS)/wide-angle X-ray diffraction(WAXD)experiments have dramatically evolved.Such experiments have developed into dynamic and multiscale in situ characterizations,leaving prolonged exposure time as well as radiation-induced damage a serious concern.However,reduction on exposure time or dose may result in noisier images with a lower signal-to-noise ratio,requiring powerful denoising mechanisms for physical information retrieval.Here,we tackle the problem from an algorithmic perspective by proposing a small yet effective machine-learning model for experimental SAXS/WAXD image denoising,allowing more redundancy for exposure time or dose reduction.Compared with classic models developed for natural image scenarios,our model provides a bespoke denoising solution,demonstrating superior performance on highly textured SAXS/WAXD images.The model is versatile and can be applied to denoising in other synchrotron imaging experiments when data volume and image complexity is concerned. | Zhongzheng Zhou Chun Li Xiaoxue Bi Chenglong Zhang Yingke Huang Jian Zhuang Wenqiang Hua Zheng Dong Lina Zhao Yi Zhang Yuhui Dong | 2023 | npj Computational Materials2023，，1： | 0 |
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