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| 1 | Relationship between size and mass transfer resistance in aerobic granules 显示文摘 | LIU Yi LIU Yang TAY Jiehui | 2005 | Letters in Applied Microbiology2005，40，10： | 1 |
| 2 | Hydrothermal synthesis,crystal structure and third-order non-linear optical property of a novel one-dimensional copper(I) cyanide-organodiimine coordination polymern (phen=1,10-phenanthroline)显示文摘 | Yu Jiehui Xu Jiqing Yang Qingxin | 2003 | Journal of Molecular Structure2003，，： | 1 |
| 3 | Theoretical analysis of the magnetization and of the paramagnetic and diamagnetic magneto-optical effects in Pr-substituted yttrium iron garnets using quantum theory显示文摘 | Yang Jiehui Xu You Zhang Fang | 1997 | Phys Rev B1997，56，11： | 1 |
| 4 | A theoretical study of the magnetic and magneto-optical properties of Nd-substituted yttrium iron garnets 显示文摘 | Zhang Fang Xu You Yang Jiehui | 2000 | J Phys: Condens Matter2000，12，： | 1 |
| 5 | A Theoretical Study of the Magnetic and Magneto-Optical Properties of NdSubstituted Yttrium iron Garnets显示文摘 | Fang Zhang You Xu Jiehui Yang | 2000 | J Phys:Condens Matter2000，12，： | 1 |
| 6 | Wearable and humidity-resistant biomaterials-based triboelectric nanogenerator for high entropy energy harvesting and self-powered sensing显示文摘Triboelectric nanogenerator(TENG)provides a new solution to the energy supply by harvesting high entropy energy.However,wearable electronic devices have high requirements for flexible,humidity-resistant,and low-cost TENG.Here,environmentfriendly and multi-functional wheat starch TENG(S-TENG)was made by a simple and green method.The open-circuit voltage and short-circuit current of S-TENG are 151.4 V and 47.1μA,respectively.S-TENG can be used not only to drive and intelligently control electronic equipment,but also to effectively harvest energy from body movements and wind.In addition,the output of S-TENG was not negatively affected with the increase in environmental humidity,but increased abnormally.In the range of 20%RH–80%RH,S-TENG can be potentially used as a sensitive self-powered humidity sensor.The S-TENG paves the way for large-scale preparation of multi-functional biomaterials-based TENG,and practical application of self-powered sensing and wearable devices. | Ning Zheng Jiehui Xue Yang Jie Xia Cao Zhong Lin Wang | 2022 | Nano Research2022，15，7： | 0 |
| 7 | Study on Thermo-Conductive Plastic Finned TubeRadiators显示文摘This paper discusses thermo-conductive plastic finned tube radiators used in water saving type powerstations. First, the development of thermo-conductive plastics is introduced. Second, in order todetermine the rational geometric dimensions of thermo-conductive plastic finned tubes, an objectivefunction which takes the minimum volume of the consumed material for making finned tubes as an ob-ject is introduced. On the basis of the function, the economy comparison between thermaxonductiveplastic finned tubes and metal finned tubes is conducted. | Yang Jiehui Cheng Lixin(Chemical Engineering School, State Key Laboratory of Multiphase Flow in Power Engineering, Xi’anJiaotong University, Xi’an 710049, China) | 1997 | Journal of Thermal Science1997，6，1： | 0 |
| 8 | RF-Net: Unsupervised Low-Light Image Enhancement Based on Retinex and Exposure Fusion显示文摘Low-light image enhancement methods have limitations in addressing issues such as color distortion,lack of vibrancy,and uneven light distribution and often require paired training data.To address these issues,we propose a two-stage unsupervised low-light image enhancement algorithm called Retinex and Exposure Fusion Network(RFNet),which can overcome the problems of over-enhancement of the high dynamic range and under-enhancement of the low dynamic range in existing enhancement algorithms.This algorithm can better manage the challenges brought about by complex environments in real-world scenarios by training with unpaired low-light images and regular-light images.In the first stage,we design a multi-scale feature extraction module based on Retinex theory,capable of extracting details and structural information at different scales to generate high-quality illumination and reflection images.In the second stage,an exposure image generator is designed through the camera response mechanism function to acquire exposure images containing more dark features,and the generated images are fused with the original input images to complete the low-light image enhancement.Experiments show the effectiveness and rationality of each module designed in this paper.And the method reconstructs the details of contrast and color distribution,outperforms the current state-of-the-art methods in both qualitative and quantitative metrics,and shows excellent performance in the real world. | Tian Ma Chenhui Fu Jiayi Yang Jiehui Zhang Chuyang Shang | 2023 | Computers, Materials & Continua2023，77，10： | 0 |
| 9 | High‑Valence Transition Metal Modified FeNiV Oxides Anchored on Carbon Fiber Cloth for Efficient Oxygen Evolution Catalysis显示文摘Developing efficient and durable non-noble metal-based oxygen evolution catalysts is of great importance for electrochemical water splitting.Here,we report a new and facile strategy for controllable synthesis of high-valence Mo modified FeNiV oxides as efficient OER catalysts.The Mo-dopant displays a significant influence on the valence state of Fe species in the catalysts,which lead to tunable OER performance.When the feed ratio of Mo-dopant is 5%,the Mo-modified FeNiV oxide shows the best OER performance in terms of low overpotential(237 mV at the current density of 10 mA cm^(−2)),Tafel slope(38 mV per decade),and high mass activity,which exceeds its counterparts and most reported OER catalysts.Furthermore,by assembling the catalyst with a carbon fiber cloth,the fabricated water-splitting device exhibits excellent activity and longterm durability in alkaline electrolyte compared with commercial catalysts equipped device.This work not only provides a series of Mo-modified FeNiV-based oxides as high-performance OER catalysts but also offers a new pathway to tune the charge states of OER active centers. | Zihe Wu Jiehui Yang Wenjie Shao Menghao Cheng Xianglin Luo Mi Zhou Shuang Li Tian Ma Chong Cheng Changsheng Zhao | 2022 | Advanced Fiber Materials2022，4，4： | 0 |
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