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| 1 | Research progress in electrospinning engineering for all-solid-state electrolytes of lithium metal batteries显示文摘Owing to safety issue and low energy density of liquid lithium-ion batteries(LIBs),all-solid-state lithium metal batteries(ASLMBs)with unique all-solid-state electrolytes(SEs)have attracted wide attentions.This arises mainly from the advantages of the SEs in the suppression of lithium dendrite growth,long cycle life,and broad working temperature range,showing huge potential applications in electronic devices,electric vehicles,smart grids,and biomedical devices.However,SEs suffer from low lithiumion conductivity and low mechanical integrity,slowing down the development of practical ASLMBs.Nanostructure engineering is of great efficiency in tuning the structure and composition of the SEs with improved lithium-ion conductivity and mechanical integrity.Among various available technologies for nanostructure engineering,electrospinning is a promising technique because of its simple operation,cost-effectiveness,and efficient integration with different components.In this review,we will first give a simple description of the electrospinning process.Then,the use of electrospinning technique in the synthesis of various SEs is summarized,for example,organic nanofibrous matrix,organic/inorganic nanofibrous matrix,and inorganic nanofibrous matrix combined with other components.The current development of the advanced architectures of SEs through electrospinning technology is also presented to provide references and ideas for designing high-performance ASLMBs.Finally,an outlook and further challenges in the preparation of advanced SEs for ASLMBs through electrospinning engineering are given. | Manxi Wang Yaling Wu Min Qiu Xuan Li Chuanping Li Ruiling Li Jiabo He Ganggang Lin Qingrong Qian Zhenhai Wen Xiaoyan Li Ziqiang Wang Qi Chen Qinghua Chen Jinhyuk Lee Yiu-Wing Mai Yuming Chen | 2021 | Journal of Energy Chemistry2021，30，10： | 4 |
| 2 | Screening of Transgenic Soybean Transformed by Means of Pollen-tube Using Kanamycin显示文摘Kanamycin was used to screen T0 seeds of the variety Dongnong 46 transformed by means of pollen-tube method. The results showed that 400 mg·L-1 kanamycin could inhibit growth of non-transgenic plants, and 2 positive plants were gotten combined with Gus dyeing and PCR detection. It is proved that this method is e-conomic and effective in preliminary screening the transgenic plants. | ZHANG Shuzhen XU Pengfei ZHANG Dayong LIN Shifeng LI Wenbin HAN Yingpeng YANG Chuanping | 2006 | Journal of Northeast Agricultural University(English Edition)2006，13，1： | 2 |
| 3 | Video structural description technology for the new generation video surveillance systems显示文摘 | Chuanping HU Zheng XU Yunhuai LIU Lin MEI | 2015 | Frontiers of Computer Science2015，9，6： | 2 |
| 4 | Electrospinning Engineering Enables High‑Performance Sodium‑Ion Batteries显示文摘As a promising energy storage device,sodium-ion batteries(SIBs)have received continuous attention due to their low-cost and environmental friendliness.However,the sluggish kinetics of Na ion usually makes SIBs hard to realize desirable electrochemical performance when compared to lithium-ion batteries(LIBs).The key to addressing this issue is to build up nanostructured materials which enable fast Na-ion insertion/extraction.One-dimensional(1D)nanocarbons have been considered as both the anode and the matrix to support active materials for SIB electrodes owing to their high electronic conductivity and excellent mechanical property.Because of their large surface areas and short ion/electron difusion path,the synthesized electrodes can show good rate performance and cyclic stability during the charge/discharge processes.Electrospinning is a simple synthetic technology,featuring inexpensiveness,easy operation and scalable production,and has been largely used to fabricate 1D nanostructured composites.In this review,we frst give a simple description of the electrospinning principle and its capability to construct desired nanostructures with diferent compositions.Then,we discuss recent developments of carbon-based hybrids with desired structural and compositional characteristics as the electrodes by electrospinning engineering for SIBs.Finally,we identify future research directions to realize more breakthroughs on electrospun electrodes for SIBs. | Chuanping Li Min Qiu Ruiling Li Xuan Li Manxi Wang Jiabo He Ganggang Lin Liren Xiao Qingrong Qian Qinghua Chen Junxiong Wu Xiaoyan Li Yiu‑Wing Mai Yuming Chen | 2022 | Advanced Fiber Materials2022，4，1： | 1 |
| 5 | Theoretical and experimental investigation of chemical mechanical polishing of W–Ni–Fe alloy显示文摘Fine finishing of tungsten alloy is required to improve the surface quality of molds and precision instruments. Nevertheless, it is difficult to obtain high-quality surfaces as a result of grain boundary steps attributed to differences in properties of two-phase microstructures. This paper presents a theoretical and experimental investigation on chemical mechanical polishing of W–Ni–Fe alloy. The mechanism of the boundary step generation is illustrated and a model of grain boundary step formation is proposed. The mechanism reveals the effects of mechanical and chemical actions in both surface roughness and material removal. The model was verified by the experiments and the results show that appropriately balancing the mechanical and chemical effects restrains the generation of boundary steps and leads to a fine surface quality with a high removal rate by citric acid-based slurry. | Jiang Guo Xiaolin Shi Chuanping Song Lin Niu Hailong Cui Xiaoguang Guo Zhen Tong Nan Yu Zhuji Jin Renke Kang | 2021 | International Journal of Extreme Manufacturing2021，3，2： | 1 |
| 6 | A comparative study of data-driven battery capacity estimation based on partial charging curves显示文摘With its generality and practicality, the combination of partial charging curves and machine learning(ML) for battery capacity estimation has attracted widespread attention. However, a clear classification,fair comparison, and performance rationalization of these methods are lacking, due to the scattered existing studies. To address these issues, we develop 20 capacity estimation methods from three perspectives:charging sequence construction, input forms, and ML models. 22,582 charging curves are generated from 44 cells with different battery chemistry and operating conditions to validate the performance. Through comprehensive and unbiased comparison, the long short-term memory(LSTM) based neural network exhibits the best accuracy and robustness. Across all 6503 tested samples, the mean absolute percentage error(MAPE) for capacity estimation using LSTM is 0.61%, with a maximum error of only 3.94%. Even with the addition of 3 m V voltage noise or the extension of sampling intervals to 60 s, the average MAPE remains below 2%. Furthermore, the charging sequences are provided with physical explanations related to battery degradation to enhance confidence in their application. Recommendations for using other competitive methods are also presented. This work provides valuable insights and guidance for estimating battery capacity based on partial charging curves. | Chuanping Lin Jun Xu Delong Jiang Jiayang Hou Ying Liang Xianggong Zhang Enhu Li Xuesong Mei | 2024 | Journal of Energy Chemistry2024，88，1： | 0 |
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