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| 1 | Carbon pools and fluxes in the China Seas and adjacent oceans显示文摘The China Seas include the South China Sea, East China Sea, Yellow Sea, and Bohai Sea. Located off the Northwestern Pacific margin, covering 4700000 km^2 from tropical to northern temperate zones, and including a variety of continental margins/basins and depths, the China Seas provide typical cases for carbon budget studies. The South China Sea being a deep basin and part of the Western Pacific Warm Pool is characterized by oceanic features; the East China Sea with a wide continental shelf, enormous terrestrial discharges and open margins to the West Pacific, is featured by strong cross-shelf materials transport; the Yellow Sea is featured by the confluence of cold and warm waters; and the Bohai Sea is a shallow semiclosed gulf with strong impacts of human activities. Three large rivers, the Yangtze River, Yellow River, and Pearl River, flow into the East China Sea, the Bohai Sea, and the South China Sea, respectively. The Kuroshio Current at the outer margin of the Chinese continental shelf is one of the two major western boundary currents of the world oceans and its strength and position directly affect the regional climate of China. These characteristics make the China Seas a typical case of marginal seas to study carbon storage and fluxes. This paper systematically analyzes the literature data on the carbon pools and fluxes of the Bohai Sea,Yellow Sea, East China Sea, and South China Sea, including different interfaces(land-sea, sea-air, sediment-water, and marginal sea-open ocean) and different ecosystems(mangroves, wetland, seagrass beds, macroalgae mariculture, coral reefs, euphotic zones, and water column). Among the four seas, the Bohai Sea and South China Sea are acting as CO_2 sources, releasing about0.22 and 13.86–33.60 Tg C yr^(-1) into the atmosphere, respectively, whereas the Yellow Sea and East China Sea are acting as carbon sinks, absorbing about 1.15 and 6.92–23.30 Tg C yr^(-1) of atmospheric CO_2, respectively. Overall, if only the CO_2 exchange at the sea-air interface is considered, the Chinese marginal seas appear to be a source of atmospheric CO_2, with a net release of 6.01–9.33 Tg C yr^(-1), mainly from the inputs of rivers and adjacent oceans. The riverine dissolved inorganic carbon (DIC) input into the Bohai Sea and Yellow Sea, East China Sea, and South China Sea are 5.04, 14.60, and 40.14 Tg C yr^(-1),respectively. The DIC input from adjacent oceans is as high as 144.81 Tg C yr^(-1), significantly exceeding the carbon released from the seas to the atmosphere. In terms of output, the depositional fluxes of organic carbon in the Bohai Sea, Yellow Sea, East China Sea, and South China Sea are 2.00, 3.60, 7.40, and 5.92 Tg C yr^(-1), respectively. The fluxes of organic carbon from the East China Sea and South China Sea to the adjacent oceans are 15.25–36.70 and 43.93 Tg C yr^(-1), respectively. The annual carbon storage of mangroves, wetlands, and seagrass in Chinese coastal waters is 0.36–1.75 Tg C yr^(-1), with a dissolved organic carbon(DOC) output from seagrass beds of up to 0.59 Tg C yr^(-1). Removable organic carbon flux by Chinese macroalgae mariculture account for 0.68 Tg C yr^(-1) and the associated POC depositional and DOC releasing fluxes are 0.14 and 0.82 Tg C yr^(-1), respectively. Thus, in total, the annual output of organic carbon, which is mainly DOC, in the China Seas is 81.72–104.56 Tg C yr^(-1). The DOC efflux from the East China Sea to the adjacent oceans is 15.00–35.00 Tg C yr^(-1). The DOC efflux from the South China Sea is 31.39 Tg C yr^(-1). Although the marginal China Seas seem to be a source of atmospheric CO_2 based on the CO_2 flux at the sea-air interface, the combined effects of the riverine input in the area, oceanic input, depositional export,and microbial carbon pump(DOC conversion and output) indicate that the China Seas represent an important carbon storage area. | Nianzhi JIAO Yantao LIANG Yongyu ZHANG Jihua LIU Yao ZHANG Rui ZHANG Meixun ZHAO Minhan DAI Weidong ZHAI Kunshan GAO Jinming SONG Dongliang YUAN Chao LI Guanghui LIN Xiaoping HUANG Hongqiang YAN Limin HU Zenghu ZHANG Long WANG Chunjie CAO Yawei LUO Tingwei LUO Nannan WANG Hongyue DANG Dongxiao WANG Si ZHANG | 2018 | Science China Earth Sciences2018，61，11： | 12 |
| 2 | Directly patterned substrate-free plasmonic “nanograter” structures with unusual Fano resonances显示文摘The application of three-dimensional(3D)plasmonic nanostructures as metamaterials(MMs),nano-antennas,and other devices faces challenges in producing metallic nanostructures with easily definable orientations,sophisticated shapes,and smooth surfaces that are operational in the optical regime and beyond.Here,we demonstrate that complex 3D nanostructures can be readily achieved with focused-ion-beam irradiation-induced folding and examine the optical characteristics of plasmonic“nanograter”structures that are composed of free-standing Au films.These 3D nanostructures exhibit interesting 3D hybridization in current flows and exhibit unusual and well-scalable Fano resonances at wavelengths ranging from 1.6 to 6.4 mm.Upon the introduction of liquids of various refractive indices to the structures,a strong dependence of the Fano resonance is observed,with spectral sensitivities of 1400 nm and 2040 nm per refractive index unit under figures of merit of 35.0 and 12.5,respectively,for low-order and high-order resonance in the near-infrared region.This work indicates the exciting,increasing relevance of similarly constructed 3D free-standing nanostructures in the research and development of photonics and MMs. | Ajuan Cui Zhe Liu Jiafang Li Tiehan H Shen Xiaoxiang Xia Zhiyuan Li Zhijie Gong Hongqiang Li Benli Wang Junjie Li Haifang Yang Wuxia Li Changzhi Gu | 2015 | Light(Science & Applications)2015，4，1： | 8 |
| 3 | On developing data-driven turbulence model for DG solution of RANS显示文摘High-order Discontinuous Galerkin(DG) methods have been receiving more and more attentions in the area of Computational Fluid Dynamics(CFD) because of their high-accuracy property. However, it is still a challenge to obtain converged solution rapidly when solving the Reynolds Averaged Navier–Stokes(RANS) equations since the turbulence models significantly increase the nonlinearity of discretization system. The overall goal of this research is to develop an Artificial Neural Networks(ANNs) model with low complexity acting as an algebraic turbulence model to estimate the turbulence eddy viscosity for RANS. The ANN turbulence model is off-line trained using the training data generated by the widely used Spalart–Allmaras(SA) turbulence model before the Optimal Brain Surgeon(OBS) is employed to determine the relevancy of input features.Using the selected relevant features, a fully connected ANN model is constructed. The performance of the developed ANN model is numerically tested in the framework of DG for RANS, where the‘‘DG+ANN' method provides robust and steady convergence compared to the ‘‘DG+SA' method. The results demonstrate the promising potential to develop a general turbulence model based on artificial intelligence in the future given the training data covering a large rang of flow conditions. | Liang SUN Wei AN Xuejun LIU Hongqiang LYU | 2019 | Chinese Journal of Aeronautics2019，32，8： | 7 |
| 4 | Seasonal changes of soil erosion and its spatial distribution on a long gentle hillslope in the Chinese Mollisol region显示文摘Understanding seasonal soil erosion and deposition rates and their spatial distribution along sloping farmlands are necessary for erosion prediction technology and implementing effective soil conservation practices.To date seasonal change of soil erosion and soil redistribution on long gentle hillsiopes are not fully quantified due to the variable erosive forces in different seasons.A multi-tracer method using rare earth elements(REE)was employed to discriminate seasonal changes of soil erosion and its spatial distribution on a sloping farmland driven by snowmelt runoff,wind force and rainfall-runoff.A long-slope runoff plot with 5 m wide and 320 m long located in the typical Mollisol region of China was divided into eight segments,each of which was 40 m long and tagged with one of eight REE oxides.The spot method of a partial-area tagging scheme was employed and a grid-based layout was used for REE application.Results showed that annual soil erosion rate was 3251.01 km^(-2)for the whole runoff plot,in which snowmelt runoff erosion contributed 537.3 t km^(-2),wind erosion 363.11 km-2 and rainfall-runoff erosion 2350.6 t km^(-2).Surface runoff is the main external erosive force of hillslope soil erosion,accounting for 88.8%of the total annual soil loss.Furthermore,for the eight slope segments of the 320-m long hillslope,the sediment transport ratios of each slope segment caused by snowmelt runoff and rainfall-runoff erosion were more than 23.5%and 34.7%,respectively.The results will enrich the understanding of seasonal soil erosion on long hillsiopes. | Lei Wang Fenli Zheng Gang Liu Xunchang J.Zhang Glenn V.Wilson Hongqiang Shi Xujun Liu | 2021 | International Soil and Water Conservation Research2021，9，3： | 6 |
| 5 | Isolation and oral immunogenicity assessment of porcine epidemic diarrhea virus NH-TA2020 strain:One of the predominant strains circulating in China from 2017 to 2021显示文摘Porcine epidemic diarrhea(PED)caused by porcine epidemic diarrhea virus(PEDV)is one of the most devastating diseases in the global pig industry due to its high mortality rate in piglets.Maternal vaccines can effectively enhance the gut-mammary gland-secretory IgA axis to boost lactogenic immunity and passive protection of nursing piglets against PEDV challenge.From 2017 to 2021,we collected 882 diarrhea samples from 303 farms in China to investigate the epidemiology of PEDV.The result showed that about 52.15%(158/303)of the farms were positive for PEDV with an overall detection rate of 63.95%(564/882)of the samples.The S1 fragments of S gene from 104 strains were sequenced for the phylogenetic analysis.A total of 71 PEDV strains(68.27%)sequenced in this study were clustered into the predominant G2c subgroup,while the newly-defined G2d strains(9.62%)were identified in three provinces of China.The NH-TA2020 strain of G2c subgroup was isolated and cultured,and its infection to piglets caused watery diarrhea within 24 h,indicating its strong pathogenicity.Oral administration of NH-TA2020 strain to pregnant gilts stimulated high levels of IgA antibody in colostrum.The piglets fed by the gilts above were challenged with NH-TA2020 strain or CH-HeB-RY-2020 strain from G2d subgroup,and the clinical symptoms and virus shedding were significantly reduced compared to the mock group.Our findings suggest that G2c subgroup is the predominant branch circulating in China from 2017 to 2021.Oral administration of NH-TA2020 enhances maternal IgA and lactogenic immune responses,which confer protection against the homologous and emerging G2d PEDV strains challenges in neonates. | Xiaowen Li Yang Li Jiapei Huang Yali Yao Wenying Zhao Yunjing Zhang Jie Qing Jing Ren Zhong Yan Zewei Wang Xiaofang Hu Duli Kang Hongqiang Liu Zhichun Yan | 2022 | Virologica Sinica2022，37，5： | 6 |
| 6 | Task assignment under constraint of timing sequential for cooperative air combat显示文摘 | Chengwei Ruan Zhongliang Zhou Hongqiang Liu Haiyan Yang | 2016 | Journal of Systems Engineering and Electronics2016，27，4： | 6 |
| 7 | A detached petal disc assay and virus-induced gene silencing facilitate the study of Botrytis cinerea resistance in rose flowers显示文摘Fresh-cut roses(Rosa hybrida)are one of the most important ornamental crops worldwide,with annual trade in the billions of dollars.Gray mold disease caused by the pathogen Botrytis cinerea is the most serious fungal threat to cut roses,causing extensive postharvest losses.In this study,we optimized a detached petal disc assay(DPDA)for artificial B.cinerea inoculation and quantification of disease symptoms in rose petals.Furthermore,as the identification of rose genes involved in B.cinerea resistance could provide useful genetic and genomic resources,we devised a virusinduced gene silencing(VIGS)procedure for the functional analysis of B.cinerea resistance genes in rose petals.We used RhPR10.1 as a reporter of silencing efficiency and found that the rose cultivar‘Samantha’showed the greatest decrease in RhPR10.1 expression among the cultivars tested.To determine whether jasmonic acid and ethylene are required for B.cinerea resistance in rose petals,we used VIGS to silence the expression of RhLOX5 and RhEIN3(encoding a jasmonic acid biosynthesis pathway protein and an ethylene regulatory protein,respectively)and found that petal susceptibility to B.cinerea was affected.Finally,a VIGS screen of B.cinerea-induced rose transcription factors demonstrated the potential benefits of this method for the high-throughput identification of gene function in B.cinerea resistance.Collectively,our data show that the combination of the DPDA and VIGS is a reliable and highthroughput method for studying B.cinerea resistance in rose. | Xiaoqian Cao Huijun Yan Xintong Liu Dandan Li Mengjie Sui Jie Wu Hongqiang Yu Zhao Zhang | 2019 | Horticulture Research2019，6，1： | 5 |
| 8 | Self-adapting radiation control method for RFS in tracking显示文摘The aim of this paper is to achieve the radio frequency stealth(RFS) during the course of tracking by controlling the radiation energy and the interval of a radar. Firstly, we build the model of probability of interception with the once radiation during the course of tracking. Secondly, we establish the model of the cumulative probability of interception to describe the effect of RFS throughout the tracking process and obtain two solutions that are minimizing the probability of interception and the radiation times to reduce the cumulative probability of interception. Thirdly, we propose a self-adapting radiation energy control method(SARE)to minimize the probability of interception. Fourthly, we propose a self-adapting radiation interval control method(SARI) to minimize radiation times. Fifthly, combining SARE with SARI, we propose a SARE-SARI control method(SAEI) during the course of tracking.Finally, we compare SAEI with two others by simulation, and the results show the effect of RFS of SAEI is better than the other two,but we have to make a trade-off between the ability of RFS and the effect of tracking. | LIU Hongqiang YU Lei YANG Haiyan ZHOU Zhongliang | 2018 | Journal of Systems Engineering and Electronics2018，29，2： | 4 |
| 9 | Influence of ocean tidal loading on InSAR offshore areas deformation monitoring显示文摘The ocean tide can cause the redistribution of the seawater mass,resulting in earth's surface deformation,namely ocean tidal loading(OTL).OTL vertical displacement may reach several centimeters,especially in coastal areas,so its effect in the field of high precision geodesy must be considered.This study concentrates on the influences of OTL on InSAR deformation measurements.We improve the osu.chinasea.2010 regional model and then compare the improved regional model with other regional models.It turns out that the improved regional model can achieve higher precision.Then we use it to replace the offshore part of the global model to generate the present model.We find that the displacement observed by the present model is 2-3 mm larger than that of other models on some sites.Finally,the present model is used to correct the deformation observed by InSAR of Shanghai and Los Angeles.A comparison between the displacements of IGS station with the corrected data shows that the OTL correction can improve the accuracy of InSAR deformation results by about 20%. | Mengfei Lei Qijie Wang Xiaoli Liu Bing Xu Hongqiang Zhang | 2017 | Geodesy and Geodynamics2017，8，1： | 3 |
| 10 | Scaffolding protein Gab1 regulates myeloid dendritic cell migration in allergic asthma显示文摘气喘是在多重基因、环境的因素之中包含复杂相互影响的普通过敏混乱。最近的研究作为一个新奇气喘危险性因素识别了人的 GAB1 的基因变体。然而,在肺的 Gab1 的功能仍然保持大部分未经勘探。在这研究,我们首先在尖锐恶化期间从气喘的病人在外部血 mononuclear 房间观察了 Gab1 水平的举起与康复相比。有在 myeloid 的有选择地破坏的 Gab1 的老鼠树枝状的房间(mDCs ) 更加在气喘的试验性的模型稀释了过敏发炎。进一步的调查在 Gab1 缺乏的 mDCs 的调停 CCL19 的移植揭示了突出的减小到排干淋巴节点和驾驶 Th2 的适应激活的随后的缺陷。机械学地, Gab1 是在气喘的回答期间调整 mDC 移植的 CCL19/CCR7 chemokine 轴的一个必要部件。一起,这些调查结果在肺为 Gab1 的角色提供第一条证据,给我们气喘的致病的更深的理解。 | Yun Zhang Yun Xu Shuwan Liu Xiaohong Guo Dong Cen Jiaqi Xu Heyuan Li Kaijun Li Chunlai Zeng Linrong LU Yiting Zhou Huahao Shen Hongqiang Cheng Xue Zhang Yuehai Ke | 2016 | Cell Research2016，26，11： | 3 |
| 11 | Porous nitrogen-enriched hollow carbon nanofibers as freestanding electrode for enhanced lithium storage显示文摘Onedimensional porous carbons bearing high surface areas and sufficient heteroatom doped functionalities are essential for advanced electrochemical energy storage devices,especially for developing freestanding film electrodes.Here we develop a porous,nitrogenenriched,freestanding hollow carbon nanofiber(PNFHCF)electrode material via filtration of polypyrrole(PPy)hollow nanofibers formed by in situ selfdegraded templateassisted strategy,followed by NH3assisted carbonization.The PNFHCF retains the freestanding film morphology that is composed of threedimensional networks from the entanglement of 1D nanofiber and delivers 3.7fold increase in specific surface area(592 m^(2)g^(-1))compared to the carbon without NH_(3)treatment(FHCF).In spite of the enhanced specific surface area,PNFHCF still exhibits comparable high content of surface N functionalities(8.8%,atom fraction)to FHCF.Such developed hierarchical porous structure without sacrificing N doping functionalities together enables the achievement of high capacity,highrate property and good cycling stability when applied as selfsupporting anode in lithiumion batteries,superior to those of FHCF without NH3 treatment. | Xiaosa Xu Yuqian Qiu Jianping Wu Baichuan Ding Qianhui Liu Guangshen Jiang Qiongqiong Lu Jiangan Wang Fei Xu Hongqiang Wang | 2021 | Chinese Journal of Chemical Engineering2021，34，4： | 3 |
| 12 | New results on robust H-infinity control for discrete-time systems with interval time-varying delays显示文摘This paper deals with delay-dependent robust H-infinity control for uncertain discrete-time systems with interval time-varying delay. By using a new Lyapunov functional and the convex combination method, a new delay-dependent stability criterion is established. Some redundant variable matrices are removed in the new conditions, which makes the obtained results more efficient. Then, an iterative algorithm based on the cone complementarity Linearization method is proposed to obtain the delay-dependent robust H-infinity controller. Numerical examples are given to show the effectiveness of the proposed method. | Jianchen LIU Jing ZHANG Min HE Hongqiang ZHANG | 2011 | 控制理论与应用(英文版)2011，9，4： | 2 |
| 13 | A generative deep learning framework for airfoil flow field prediction with sparse data显示文摘Deep learning has been probed for the airfoil performance prediction in recent years.Compared with the expensive CFD simulations and wind tunnel experiments,deep learning models can be leveraged to somewhat mitigate such expenses with proper means.Nevertheless,effective training of the data-driven models in deep learning severely hinges on the data in diversity and quantity.In this paper,we present a novel data augmented Generative Adversarial Network(GAN),daGAN,for rapid and accurate flow filed prediction,allowing the adaption to the task with sparse data.The presented approach consists of two modules,pre-training module and fine-tuning module.The pre-training module utilizes a conditional GAN(cGAN)to preliminarily estimate the distribution of the training data.In the fine-tuning module,we propose a novel adversarial architecture with two generators one of which fulfils a promising data augmentation operation,so that the complement data is adequately incorporated to boost the generalization of the model.We use numerical simulation data to verify the generalization of daGAN on airfoils and flow conditions with sparse training data.The results show that daGAN is a promising tool for rapid and accurate evaluation of detailed flow field without the requirement for big training data. | Haizhou WU Xuejun LIU Wei AN Hongqiang LYU | 2022 | Chinese Journal of Aeronautics2022，35，1： | 2 |
| 14 | Tyrosine phosphatase Shp2 regulates pi 15RhoGEF/Rhodependent dendritic cell migration显示文摘The orchestrated migration of dendritic cells(DCs)to secondary lymphoid organs relies on C-C chemokine receptor type 7(CCR7)and its ligand C-C motif chemokine ligand 19(CCL19),and DC migration to lymph nodes is crucial for the initiation and progression of adaptive immune responses. | Yun Xu Yun Zhang Yanyan Yang Yanqi Liu Qiaoying Tian Pan Liu Zhifan Ding Hongqiang Cheng Xue Zhang Yuehai Ke | 2021 | Cellular & Molecular Immunology2021，18，3： | 2 |
| 15 | Enhanced Answer Selection in CQA Using Multi-Dimensional Features Combination显示文摘Community Question Answering(CQA) in web forums, as a classic forum for user communication,provides a large number of high-quality useful answers in comparison with traditional question answering.Development of methods to get good, honest answers according to user questions is a challenging task in natural language processing. Many answers are not associated with the actual problem or shift the subjects,and this usually occurs in relatively long answers. In this paper, we enhance answer selection in CQA using multidimensional feature combination and similarity order. We make full use of the information in answers to questions to determine the similarity between questions and answers, and use the text-based description of the answer to determine whether it is a reasonable one. Our work includes two subtasks:(a) classifying answers as good, bad, or potentially associated with a question, and(b) answering YES/NO based on a list of all answers to a question. The experimental results show that our approach is significantly more efficient than the baseline model, and its overall ranking is relatively high in comparison with that of other models. | Hongjie Fan Zhiyi Ma Hongqiang Li Dongsheng Wang Junfei Liu | 2019 | Tsinghua Science and Technology2019，24，3： | 2 |
| 16 | The Association Between Epoxide Hydrolase Genetic Variant and Effectiveness of Nicotine Replacement Therapy in a Han Chinese Population显示文摘Dear Editor,Nicotine is a psychoactive alkaloid that is thought to play a key role in addiction to commercial tobacco products[1]and cotinine is its primary metabolite[2].Pharmacological treatment,such as nicotine replacement therapy(NRT),is a valid solution to this problem.Tobacco smoke contains many carcinogens such as nitrosamines[i.e.,nicotinederived nitrosamine ketone(NNK)and N-nitrosonornicotine(NNN)],and | Fan Wang Yanlong Liu Song Guo Dafang Chen Hongqiang Sun | 2016 | Neuroscience Bulletin2016，32，6： | 2 |
| 17 | A mesh optimization method using machine learning technique and variational mesh adaptation显示文摘Computational mesh is an important ingredient that affects the accuracy and efficiency of CFD numerical simulation.In light of the introduced large amount of computational costs for many adaptive mesh methods,moving mesh methods keep the number of nodes and topology of a mesh unchanged and do not increase CFD computational expense.As the state-of-the-art moving mesh method,the variational mesh adaptation approach has been introduced to CFD calculation.However,quickly estimating the flow field on the updated meshes during the iterative algorithm is challenging.A mesh optimization method,which embeds a machine learning regression model into the variational mesh adaptation,is proposed.The regression model captures the mapping between the initial mesh nodes and the flow field,so that the variational method could move mesh nodes iteratively by solving the mesh functional which is built from the estimated flow field on the updated mesh via the regression model.After the optimization,the density of the nodes in the high gradient area increases while the density in the low gradient area decreases.Benchmark examples are first used to verify the feasibility and effectiveness of the proposed method.And then we use the steady subsonic and transonic flows over cylinder and NACA0012 airfoil on unstructured triangular meshes to test our method.Results show that the proposed method significantly improves the accuracy of the local flow features on the adaptive meshes.Our work indicates that the proposed mesh optimization approach is promising for improving the accuracy and efficiency of CFD computation. | Tingfan WU Xuejun LIU Wei AN Zenghui HUANG Hongqiang LYU | 2022 | Chinese Journal of Aeronautics2022，35，3： | 2 |
| 18 | Hybrid Deep Learning Model for Short-Term Wind Speed Forecasting Based on Time Series Decomposition and Gated Recurrent Unit显示文摘Accurate wind speed prediction has been becoming an indispensable technology in system security,wind energy utilization,and power grid dispatching in recent years.However,it is an arduous task to predict wind speed due to its variable and random characteristics.For the objective to enhance the performance of forecasting short-term wind speed,this work puts forward a hybrid deep learning model mixing time series decomposition algorithm and gated recurrent unit(GRU).The time series decomposition algorithm combines the following two parts:(1)the complete ensemble empirical mode decomposition with adaptive noise(CEEMDAN),and(2)wavelet packet decomposition(WPD).Firstly,the normalized wind speed time series(WSTS)are handled by CEEMDAN to gain pure fixed-frequency components and a residual signal.The WPD algorithm conducts the second-order decomposition to the first component that contains complex and high frequency signal of raw WSTS.Finally,GRU networks are established for all the relevant components of the signals,and the predicted wind speeds are obtained by superimposing the prediction of each component.Results from two case studies,adopting wind data from laboratory and wind farm,respectively,suggest that the related trend of the WSTS can be separated effectively by the proposed time series decomposition algorithm,and the accuracy of short-time wind speed prediction can be heightened significantly mixing the time series decomposition algorithm and GRU networks. | Changtong Wang Zhaohua Liu Hualiang Wei Lei Chen Hongqiang Zhang | 2021 | Complex System Modeling and Simulation2021，1，4： | 2 |
| 19 | Photo-Isomerization Energy Storage Using Azobenzene and Nanoscale Templates: A Topical Review显示文摘Azobenzene(AZO) has attached tremendous attention in the field of photo-isomerization energy storage due to its advantages of absorbing light in ultraviolet-visible range and reversible isomerization. However, the issues of low energy density and short half-lifetime restrict the further development of AZO. Therefore, a method, by preparing hybrid photo-isomerization energy storage materials using nanoscale templates, was proposed to handle the above two issues. In this paper, a summary of hybrid photo-isomerization energy storage materials with AZO and nanoscale templates is conducted from the aspects of templates, preparation methods, derivatives and applications. The performances of template candidates, i.e. carbon nanotubes(CNTs) and graphene(GO) are reviewed and compared based on the analysis of grafting density, energy density, and half-lifetime of hybrid materials. Then, two major preparation methods of AZO hybrid materials including non-covalent and covalent functionalizations are discussed. Furthermore, the studies on AZO derivatives functionalized on nanoscale templates are summarized to further point to the direction of derivatization towards high performance AZO-functionalized materials. Finally, due to the superiority of AZO hybrid solid-state films in large-scale utilization, their current applications are reviewed to find out some promising applications. | LI Shuwei WANG Hongqiang FANG Juan LIU Qibin WANG Jiangjiang GUO Shaopeng | 2020 | Journal of Thermal Science2020，29，2： | 2 |
| 20 | Exergy analysis of a novel CHP-GSHP coupling system 显示文摘 | Kang Shushuo Li Hongqiang Liu Lifang | 2016 | Applied Thermal Engineering2016，93，： | 1 |
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