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| 1 | A novel battery scheme:Coupling nanostructured phosphorus anodes with lithium sulfide cathodes显示文摘Lithium-ion batteries are approaching their theoretical limit and can no longer keep up with the increasing demands of human society.Lithium-sulfur batteries,with a high theoretical specific energy,are promising candidates for next generation energy storage.However,the use of Li metal in Li-S batteries compromises both safety and performance,enabling dendrite formation and causing fast capacity degradation.Previous studies have probed alternative battery systems to replace the metallic Li in Li-S system,such as a Si/Li2S couple,with limited success in performance.Recently,there is a focus on red P as a favorable anode material to host Li.Here,we establish a novel battery scheme by utilizing a P/C nanocomposite anode and pairing it with a Li2S coated carbon nanofiber cathode.We find that red P anode can be compatible in ether-based electrolyte systems and can be successfully coupled to a Li2S cathode.Our proof of concept full-cell displays remarkable specific capacity,rate and cycling performances.We expect our work will provide a useful alternative system and valuable insight in the quest for next generation energy storage devices. | David Sichen Wu Guangmin Zhou Eryang Mao Yongming Sun Bofei Liu Li Wang Jiangyan Wang Feifei Shi Yi Cui | 2020 | Nano Research2020，13，5： | 4 |
| 2 | Visual analytics of taxi trajectory data via topical sub-trajectories显示文摘GPS-based taxi trajectories contain valuable knowledge about movement patterns for transportation and urban planning.Topic modeling is an effective tool to extract semantic information from taxi trajectory data.However,previous methods generally ignore trajectory directions that are important in the analysis of movement patterns.In this paper,we employ the bigram topic model rather than traditional topic models to analyze textualized trajectories and consider the direction information of trajectories.We further propose a modified Apriori algorithm to extract topical sub-trajectories and use them to represent each topic.Finally,we design a visual analytics system with several linked views to facilitate users to interactively explore movement patterns from topics and topical sub-trajectories.The case studies with Chengdu taxi trajectory data demonstrate the effectiveness of the proposed system. | Huan Liu Sichen Jin Yuyu Yan Yubo Tao Hai Lin | 2019 | Visual Informatics2019，3，3： | 3 |
| 3 | Recent Advances in Two-Dimensional Magnets:Physics and Devices towards Spintronic Applications显示文摘The emergence of low-dimensional nanomaterials has brought revolutionized development of magnetism,as the size effect can significantly influence the spin arrangement.Since the first demonstration of truly two-dimensional magnetic materials(2DMMs)in 2017,a wide variety of magnetic phases and associated properties have been exhibited in these 2DMMs,which offer a new opportunity to manipulate the spin-based devices efficiently in the future.Herein,we focus on the recent progress of 2DMMs and heterostructures in the aspects of their structural characteristics,physical properties,and spintronic applications.Firstly,the microscopy characterization of the spatial arrangement of spins in 2D lattices is reviewed.Afterwards,the optical probes in the light-matter-spin interactions at the 2D scale are discussed.Then,particularly,we systematically summarize the recent work on the electronic and spintronic devices of 2DMMs.In the section of electronic properties,we raise several exciting phenomena in 2DMMs,i.e.,long-distance magnon transport,field-effect transistors,varying magnetoresistance behavior,and(quantum)anomalous Hall effect.In the section of spintronic applications,we highlight spintronic devices based on 2DMMs,e.g.,spin valves,spin-orbit torque,spin field-effect transistors,spin tunneling field-effect transistors,and spin-filter magnetic tunnel junctions.At last,we also provide our perspectives on the current challenges and future expectations in this field,which may be a helpful guide for theorists and experimentalists who are exploring the optical,electronic,and spintronic properties of 2DMMs. | Vertikasari PNingrum Bowen Liu Wei Wang Yao Yin Yi Cao Chenyang Zha Hongguang Xie Xiaohong Jiang Yan Sun Sichen Qin Xiaolong Chen Tianshi Qin Chao Zhu Lin Wang Wei Huang | 2020 | Research2020，，1： | 2 |
| 4 | Effect of interfacial energy on the viscosities of two-phase mixtures—A physical modeling approach显示文摘 | Wei Liu Du Sichen S. Seetharaman | 2001 | Metallurgical and Materials Transactions B2001，，1： | 1 |
| 5 | Surface energy-mediated fibronectin adsorption and osteoblast responses on nanostructured diamond显示文摘Nanostructured diamond have potential applications in many biomedical related fields and demonstrated extraordinary capacity to influence cellular responses. Studying the surface property of nanodiamond and its influence to protein adsorption and subsequent cellular responses along with the mechanism behind such capacity becomes more important. Here the role of surface energy associated with nanostructured diamond in modulating fibronectin and osteoblast(OB, bone forming cells) responses was investigated. Nanocrystalline diamond(NCD) and submicron crystalline diamond(SMCD) films with controllable surface energy were prepared by microwave-enhanced plasma chemical vapor deposition(MPCVD) techniques. Fibronectin adsorption on the diamond films with varied surface energy values was measured via the enzyme-linked immunosorbent assay(ELISA) and the relationship between the surface energy and fibronectin adsorption was studied. The result indicated that fibronectin adsorption on nanostructured surfaces was closely related to both surface energy and material microstructures. The spreading and migration of OB aggregates(each containing 30–50 cells) on the NCD with varied surface energy values were also studied. The result indicates a correlation between the cell spreading and migration on nanodiamond and the surface energy of nanostructured surface. | Yixing Tian Huiling Liu Brian W.Sheldon Thomas J.Webster Sichen Yang Huilin Yang Lei Yang | 2019 | Journal of Materials Science & Technology2019，35，5： | 1 |
| 6 | Effect of interfacial energy on the viscosities of two-phase mixtures a physical modeling approach显示文摘 | Liu W Sichen D Seetharaman S | 2001 | Metal Mater Trans2001，32，2： | 1 |
| 7 | PIP2和PIP3平衡以及Dock2的招募和活化调控B细胞抗原受体微簇体成熟显示文摘文章简介B淋巴细胞作为抗体免疫应答过程中的重要参与者,维系着人类的健康,其免疫活化是启动体液免疫反应的关键步骤。B淋巴细胞的免疫活化进程在其质膜表面的B细胞抗原受体(BCR)识别外来病原体抗原后快速启动,具有瞬时性和高度动态性特点,一直是免疫学领域的研究热点和难点。 | Jing Wang Liling Xu Samina Shaheen Sichen Liu Wenjie Zheng Xiaolin Sun Zhanguo Li 刘万里 | 2018 | 科学新闻2018，0，4： | 0 |
| 8 | Insulation Properties and Degradation Mechanism for XLPE Subjected to Different Aging Periods显示文摘Due to its excellent insulation and mechanical properties,cross-linked polyethylene(XLPE)is widely used as the insulation candidate of power cables in power transmission and distribution systems.However,its performance can be affected due to various stresses,which endangers safe operation of the power system in service.In this paper,dielectric and insulation properties of XLPE materials of 110 kV cables with the service lives of 0,15,and 30 years were tested and evaluated.Results show that with increase of service life,dielectric loss caused by the polarization process increases significantly,and dielectric strength decreases as well.Power frequency breakdown field strength and crystallinity decrease significantly,and carbonyl index increases.The degradation process of XLPE can be divided into two stages:the structure of the crystalline region of the original sample is relatively complete,and loss can be almost ignored.After long-term service,the crystallization region is destroyed,and thermal oxygen reaction occurs.Intermolecular force is weakened,which makes breakdown easier to occur.However,there is no direct relation between the carbonyl index and macroscopic characteristics.This paper reveals the deterioration law of the XLPE cable insulation,which provides a theoretical basis for evaluating cable aging condition and is of great significance to improve cable operation safety and maintenance quality. | Qian Wang Rui Liu Sichen Qin Xi Chen Zicai Shen Zhe Hou Zeli Ju | 2023 | CSEE Journal of Power and Energy Systems2023，9，5： | 0 |
| 9 | Rapid Detection of Fat Content in Chenopodium quinoa Willd by Near Infrared Spectroscopy显示文摘This study was conducted to find a method for rapid determination of fat content in complete quinoa( Chenopodium quinoa Willd) seeds. The near infrared spectra of 100 quinoa samples were collected,and a mathematic model was built using the near infrared spectra,so as to perform prediction. The results showed that within the wavelength range of 1 0 000-4 000 cm^(-1),the quantification model of fat content built by first derivative + vector normalization spectral pre-processing had better calibration and prediction effects,and showed a determination coefficient of cross validation( r_(cv)~2 ) of 0. 939 3 and a determination coefficient of validation( r_(val)~2 ) of 0. 923 5. The near infrared spectral model of fat could be used for rapid detection of fat contents in quinoa. | Xiaoning CAO Junjie WANG Sichen LIU Zhijun QIAO | 2018 | Agricultural Biotechnology2018，7，4： | 0 |
| 10 | Active Anomaly Detection Technology Based on Ensemble Learning显示文摘Anomaly detection is an important problem in various research and application fields.Researchers design reliable schemes to provide solutions for effectively detecting anomaly points.Most of the existing anomaly detection schemes are unsupervised methods,such as anomaly detection methods based on density,distance and clustering.In total,unsupervised anomaly detection methods have many limitations.For example,they cannot be well combined with prior knowledge in some anomaly detection tasks.For some nonlinear anomaly detection tasks,the modeling is complex and faces dimensional disasters,which are greatly affected by noise.Sometimes it is difficult to find abnormal events that users are interested in,and users need to customize model parameters before detection.With the wide application of deep learning technology,it has a good modeling ability to solve linear and nonlinear data relationships,but the application of deep learning technology in the field of anomaly detection has many challenges.If we regard exceptions as a supervised problem,exceptions are a few,and we usually face the problem of too few labels.To obtain a model that performs well in the anomaly detection task,it requires a high initial training set.Therefore,to solve the above problems,this paper proposes a supervised learning method with manual participation.We introduce the integrated learning model and train a supervised anomaly detection model with strong stability and high accuracy through active learning technology.In addition,this paper adopts certain strategies to maximize the accuracy of anomaly detection and minimize the cost of manual labeling.In the experimental link,we will show that our method is better than some traditional anomaly detection algorithms. | Weiwei Liu Shuya Lei Liangying Peng Jun Feng Sichen Pan Meng Gao | 2022 | 国际计算机前沿大会会议论文集2022，，1： | 0 |
| 11 | Mechanical properties of thermoelectric generators显示文摘To satisfy the requirements of practical applications,thermoelectric generators should be highly efficient and mechanically robust.Recently,progress in designing high-performance thermoelectric generators has been made.However,the mechanical properties of thermoelectric generators are still unsatisfactory.In this review,studies on the mechanical properties of thermoelectric generators are summarized.The me-chanical properties of bulk thermoelectric generators will be first discussed.In this section,the mechan-ical properties of thermoelectric materials and the strategies for improving their mechanical properties are emphasized.Since the device’s failure usually occurs at the interface between the thermoelectric ma-terials and electrode,the joint strength of electrodes and thermoelectric materials will be overviewed.After that,the mechanical properties of the inorganic thin-film thermoelectric devices will be discussed.Since the figure of merit for the flexibility of thermoelectric materials depends on the film thickness,elastic modulus,and yield strength,the synthesis methods of thin-film thermoelectric materials will be reviewed.Finally,this review will be concluded with a discussion on flexible organic thermoelectric de-vices and flexible devices using bulk legs. | Xin Bao Shuaihang Hou Zhixin Wu Xiaodong Wang Li Yin Yijie Liu Huolun He Sichen Duan Baolin Wang Jun Mao Feng Cao Qian Zhang | 2023 | Journal of Materials Science & Technology2023，，17： | 0 |
| 12 | Rapid Detection of Starch Content in Quinoa(Chenopodium quinoa Willd.)by Near Infrared Spectroscopy显示文摘This study was conducted to establish a method for rapid determination of crude starch content in complete quinoa( Chenopodium quinoa Willd) seeds.The near infrared spectra of 100 quinoa samples were collected,and a mathematic model was built using the near infrared spectra within the wavelength range of 1 0 000-4 000 cm^(-1) by first derivative + vector normalization spectral pre-processing. The results showed that the quantification model of starch content had better calibration and prediction effects,and showed a determination coefficient of cross validation( r_(cv)~2) of 0. 914 7 and a determination coefficient of validation( r _(val)~2) of 0. 903 1. The determination of starch content in complete quinoa seeds by near infrared spectroscopy is totally feasible. | Xiaoning CAO Junjie WANG Sichen LIU Zhijun QIAO | 2018 | Agricultural Biotechnology2018，7，5： | 0 |
| 13 | Control Effects of Different Doses of MCPA-Na Against Weeds in Foxtail Millet Field显示文摘[Objective]The paper was compare the control effects of different doses of MCPA-Na on weeds in foxtail millet field.[Method]Different doses of MCPA-Na were sprayed on foxtail millet field,while artificial weeding and spraying water was designed as control. The strain control effect and fresh weight control effect were calculated. [Result]The strain control effect and fresh weight control effect of 2 250 g/hm^2 MCPA-Na at 25 and 40 d post spraying were the best,and the fresh weight control effects reached 84. 19% and 87. 23%,respectively. Compared to CK,the yield increase effect of 1 500 g/hm^2 was the best,and the yield increase rate was 54. 31%; followed by 1 125 g/hm^2. Generally,1 500 g/hm^2 was the best dosage of MCPA-Na in foxtail millet production. [Conclusion]The paper provided a theoretical basis for screening the best dose of herbicide in foxtail millet production. | Cao Xiaoning Wang Junjie Liu Sichen Chen Ling Wang Haigang Tian Xiang Qiao Zhijun | 2017 | Plant Diseases and Pests2017，8，1： | 0 |
| 14 | Anomalous Thermopower and High ZT in GeMnTe2 Driven by Spin’s Thermodynamic Entropy显示文摘NaxCoO_(2)was known 20 years ago as a unique example in which spin entropy dominates the thermoelectric behavior.Hitherto,however,little has been learned about how to manipulate the spin degree of freedom in thermoelectrics.Here,we report the enhanced thermoelectric performance of GeMnTe_(2)by controlling the spin’s thermodynamic entropy.The anomalously large thermopower of GeMnTe_(2)is demonstrated to originate from the disordering of spin orientation under finite temperature.Based on the careful analysis of Heisenberg model,it is indicated that the spin-system entropy can be tuned by modifying the hybridization between Te-p and Mn-d orbitals.As a consequent strategy,Se doping enlarges the thermopower effectively,while neither carrier concentration nor band gap is affected.The measurement of magnetic susceptibility provides a solid evidence for the inherent relationship between the spin’s thermodynamic entropy and thermopower.By further introducing Bi doing,the maximum ZT in Ge_(0.94)Bi_(0.06)MnTe_(1.94)Se_(0.06)reaches 1.4 at 840 K,which is 45%higher than the previous report of Bi-doped GeMnTe_(2).This work reveals the high thermoelectric performance of GeMnTe_(2)and also provides an insightful understanding of the spin degree of freedom in thermoelectrics. | Sichen Duan Yinong Yin Guo-Qiang Liu Na Man Jianfeng Cai Xiaojian Tan Kai Guo Xinxin Yang Jun Jiang | 2021 | Research2021，，1： | 0 |
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