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| 1 | A transceiver frequency conversion module based on 3D micropackaging technology显示文摘The idea of Ku-band transceiver frequency conversion module design based on 3D micropackaging technology is proposed. By using the double frequency conversion technology,the dual transceiver circuit from Ku-band to L-band is realized by combining with the local oscillator and the power control circuit to complete functions such as amplification, filtering and gain. In order to achieve the performance optimization and a high level of integration of the Ku-band monolithic microwave integrated circuits(MMIC) operating chip, the 3 D vertical interconnection micro-assembly technology is used. By stacking solder balls on the printed circuit board(PCB), the technology decreases the volume of the original transceiver to a miniaturized module. The module has a good electromagnetic compatibility through special structure designs. This module has the characteristics of miniaturization, low power consumption and high density, which is suitable for popularization in practical application. | LIU Boyuan WANG Qingping WU Weiwei YUAN Naichang | 2020 | Journal of Systems Engineering and Electronics2020，31，5： | 4 |
| 2 | Influence of spacer insulator material temperature characteristics on its electric properties显示文摘Spacer insulators are important insulating component of gas insulated switchgear(GIS). In order to analyze the influence of spacer insulator materials temperature characteristics on the electric performance, we tested the temperature distribution under work condition and the temperature characteristics of the material's relative permittivity. Then established a spacer insulator simulation model in finite element numerical simulation software to calculate its temperature and electric field. Using the temperature test results as a reference to verify the temperature calculation, and in order to analyze changes of the electric field along the surface of the spacer insulator, the temperature characteristics of relative permittivity have to be considered. Through the experimental research and simulation analysis, we found that the temperature characteristics of the spacer insulator materials have great impacts on the spacer insulator performance. When the temperature increases, the material relative permittivity also increases. In the low-temperature region of spacer insulator, the electric field intensity along the surface increases, so the electrical performance deteriorates. The conclusion of this paper can provide an important reference for further research about spacer insulator's working performance analysis. | Yuyi Wu Chengyu Wang Yun Chen Boyuan Cui | 2019 | Global Energy Interconnection2019，2，1： | 2 |
| 3 | Study on the numerical extrapolated method for calculating the 3-D crack front stress intensity factor显示文摘 | Wu Xutao Yang Boyuan | 1999 | Journal of Hefei University of Tchnology1999，22，4： | 1 |
| 4 | Polar or nonpolar?That is not the question for perovskite solar cells显示文摘Perovskite solar cells(PSC)are promising next generation photovoltaic technologies,and there is considerable interest in the role of possible polarization of organic-inorganic halide perovskites(OIHPs)in photovoltaic conversion.The polarity of OIHPs is still hotly debated,however.In this review,we examine recent literature on the polarity of OIHPs from both theoretical and experimental points of view,and argue that they can be both polar and nonpolar,depending on composition,processing and environment.Implications of OIHP polarity to photovoltaic conversion are also discussed,and new insights gained through research efforts.In the future,integration of a local scanning probe with global macroscopic measurements in situ will provide invaluable microscopic insight into the intriguing macroscopic phenomena,while synchrotron diffractions and scanning transmission electron microscopy on more stable samples may ultimately settle the debate. | Boyuan Huang Zhenghao Liu Changwei Wu Yuan Zhang Jinjin Zhao Xiao Wang Jiangyu Li | 2021 | National Science Review2021，8，8： | 1 |
| 5 | Data augmentation in microscopic images for material data mining显示文摘Recent progress in material data mining has been driven by high-capacity models trained on large datasets.However,collecting experimental data(real data)has been extremely costly owing to the amount of human effort and expertise required.Here,we develop a novel transfer learning strategy to address problems of small or insufficient data.This strategy realizes the fusion of real and simulated data and the augmentation of training data in a data mining procedure.For a specific task of grain instance image segmentation,this strategy aims to generate synthetic data by fusing the images obtained from simulating the physical mechanism of grain formation and the“image style”information in real images.The results show that the model trained with the acquired synthetic data and only 35%of the real data can already achieve competitive segmentation performance of a model trained on all of the real data.Because the time required to perform grain simulation and to generate synthetic data are almost negligible as compared to the effort for obtaining real data,our proposed strategy is able to exploit the strong prediction power of deep learning without significantly increasing the experimental burden of training data preparation. | Boyuan Ma Xiaoyan Wei Chuni Liu Xiaojuan Ban Haiyou Huang Hao Wang Weihua Xue Stephen Wu Mingfei Gao Qing Shen Michele Mukeshimana Adnan Omer Abuassba Haokai Shen Yanjing Su | 2020 | npj Computational Materials2020，，1： | 1 |
| 6 | Author Correction:Data augmentation in microscopic images for material data mining显示文摘The original version of this article omitted the following from the Acknowledgements:“This work was supported by Beijing Top Discipline for Artificial Intelligent Science and Engineering,University of Science and Technology Beijing”.This has now been corrected in both the PDF and HTML versions of the article. | Boyuan Ma Xiaoyan Wei Chuni Liu Xiaojuan Ban Haiyou Huang Hao Wang Weihua Xue Stephen Wu Mingfei Gao Qing Shen Michele Mukeshimana Adnan Omer Abuassba Haokai Shen Yanjing Su | 2020 | npj Computational Materials2020，，1： | 0 |
| 7 | A cellphone-based colorimetric multi-channel sensor for water environmental monitoring显示文摘The development of colorimetric analysis technologies for the commercial cellphone platform has attracted great attention in environmental monitoring due to the low cost,high versatility,easy miniaturization,and widespread ownership of cellphones.This work demonstrates a cellphone-based colorimetric multi-channel sensor for quantifying multiple environmental contaminants simultaneously with high sensitivity and stability.To improve the sensitivity of the sensor,a delicate optical path system was created by using a diffraction grating to split six white beams transmitting through the multiple colored samples,which allows the cellphone CMOS camera to capture the diffracted light for image analysis.The proposed sensor is a universal colorimetric detection platform for a variety of environmental contaminants with the colorimetry assay in the range of 400–700 nm.By introducing the diffraction grating for splitting light,the sensitivity was improved by over six folds compared with a system that directly photographed transmitted light.As a successful proof-of-concept,the sensor was used to detect turbidity,orthophosphate,ammonia nitrogen and three heavy metals simultaneously with high sensitivity(turbidity:detection limit of 1.3 NTU,linear range of 5–400 NTU;ammonia nitrogen:0.014 mg/L,0.05–5 mg/L;orthophosphate:0.028 mg/L,0.1–10 mg/L;Cr(VI):0.0069 mg/L,0.01–0.5 mg/L;Fe:0.025 mg/L,0.1–2 mg/L;Zn:0.032 mg/L,0.05–2 mg/L)and reliability(relative standard deviations of six parallel measurements of 0.37%–1.60%and recoveries of 95.5%–106.0%in surface water).The miniature sensor demonstrated in-field sensing ability in environmental monitoring,which can be extended to point-of-care diagnosis and food safety control. | Yunpeng Xing Boyuan Xue Yongshu Lin Xueqi Wu Fang Fang Peishi Qi Jinsong Guo Xiaohong Zhou | 2022 | Frontiers of Environmental Science & Engineering2022，16，12： | 0 |
| 8 | Integrated proteogenomic characterization across major histological types of pituitary neuroendocrine tumors显示文摘Pituitary neuroendocrine tumor(PitNET)is one of the most common intracranial tumors.Due to its extensive tumor heterogeneity and the lack of high-quality tissues for biomarker discovery,the causative molecular mechanisms are far from being fully defined.Therefore,more studies are needed to improve the current clinicopathological classification system,and advanced treatment strategies such as targeted therapy and immunotherapy are yet to be explored.Here,we performed the largest integrative genomics,transcriptomics,proteomics,and phosphoproteomics analysis reported to date for a cohort of 200 PitNET patients.Genomics data indicate that GNAS copy number gain can serve as a reliable diagnostic marker for hyperproliferation of the PIT1 lineage.Proteomics-based classification of PitNETs identified 7 clusters,among which,tumors overexpressing epithelial-mesenchymal transition(EMT)markers clustered into a more invasive subgroup.Further analysis identified potential therapeutic targets,including CDK6,TWIST1,EGFR,and VEGFR2,for different clusters.Immune subtyping to explore the potential for application of immunotherapy in PitNET identified an association between alterations in the JAK1-STAT1-PDL1 axis and immune exhaustion,and between changes in the JAK3-STAT6-FOS/JUN axis and immune infiltration.These identified molecular markers and alternations in various clusters/subtypes were further confirmed in an independent cohort of 750 PitNET patients.This proteogenomic analysis across traditional histological boundaries improves our current understanding of PitNET pathophysiology and suggests novel therapeutic targets and strategies. | Fan Zhang Qilin Zhang Jiajun Zhu Boyuan Yao Chi Ma Nidan Qiao Shiman He Zhao Ye Yunzhi Wang Rui Han Jinwen Feng Yongfei Wang Zhaoyu Qin Zengyi Ma Kai Li Yichao Zhang Sha Tian Zhengyuan Chen Subei Tan Yue Wu Peng Ran Ye Wang Chen Ding Yao Zhao | 2022 | Cell Research2022，32，12： | 0 |
| 9 | Neuromorphic metasurface显示文摘Metasurfaces have been used to realize optical functions such as focusing and beam steering.They use subwavelength nanostructures to control the local amplitude and phase of light.Here we show that such control could also enable a new function of artificial neural inference.We demonstrate that metasurfaces can directly recognize objects by focusing light from an object to different spatial locations that correspond to the class of the object. | ZHICHENG WU MING ZHOU ERFAN KHORAM BOYUAN LIU ZONGFU YU | 2020 | Photonics Research2020，8，1： | 0 |
| 10 | An efficient Ag/MIL-100(Fe)catalyst for photothermal conversion of CO_(2)at ambient temperature显示文摘The conversion of CO_(2)under mild condition is of great importance because these reactions involving CO_(2)can not only produce value-added chemicals from abundant and inexpensive CO_(2)feedstock but also close the carbon cycle.However,the chemical inertness of CO_(2)requires the development of high-performance catalysts.Herein,Ag nanoparticles/MIL-100(Fe)composites were synthesized by simple impregnation-reduction method and employed as catalysts for the photothermal carboxylation of terminal alkynes with CO_(2).MIL-100(Fe)could stabilize Ag nanoparticles and prevent them from aggregation during catalytic process.Taking the advantages of photothermal effects and catalytic activities of both Ag nanoparticles and MIL-100(Fe),various aromatic alkynes could be converted to corresponding carboxylic acid products(86%-92%yields)with 1 atm CO_(2)at room temperature under visible light irradiation when using Ag nanoparticles/MIL-100(Fe)as photothermal catalysts.The catalysts also showed good recyclability with almost no loss of catalytic activity for three consecutive runs.More importantly,the catalytic performance of Ag nanoparticles/MIL-100(Fe)under visible light irradiation at room temperature was comparable to that upon heating,showing that the light source could replace conventional heating method to drive the reaction.This work provided a promising strategy of utilizing solar energy for achieving efficient CO_(2)conversion to value-added chemicals under mild condition. | Peng Jing Boyuan Wu Zongsu Han Wei Shi Peng Cheng | 2021 | Chinese Chemical Letters2021，32，11： | 0 |
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