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| 1 | Anthropogenic emission inventories in China:a review显示文摘The development of reliable anthropogenic emission inventories is essential for both understanding the sources of air pollution and designing effective air-pollution-control measures in China. However, it is challenging to quantify emissions in China accurately, given the variety of contributing sources, the complexity of the technology mix and the lack of reliable measurements. Over the last two decades,tremendous efforts have been made to improve the accuracy of emission inventories, and significant improvements have been realized. More reliable statistics and survey-based data have been used to reduce the uncertainties in activity rates and technology distributions. Local emission factors and source profiles covering various sources have been measured and reported. Based on these local databases, improved emission inventory models have been developed for power plants, large industrial plants and the residential,transportation and agricultural sectors. In this paper, we review the progress that has been made in developing inventories of anthropogenic emissions in China. We first highlight the major updates that have been made to emission inventory models and the underlying data by source category. We then summarize the sector-based estimates of emissions of different species contained in current inventories. The progress that has been made in the development of model-ready emissions is also presented. Finally, we suggest future directions for further improving the accuracy of emission inventories in China. | Meng Li Huan Liu Guannan Geng Chaopeng Hong Fei Liu Yu Song Dan Tong Bo Zheng Hongyang Cui Hanyang Man Qiang Zhang Kebin He | 2017 | National Science Review2017，4，6： | 100 |
| 2 | Corrigendum to Anthropogenic emission inventories in China:a review显示文摘In the Figure 4 of ‘Anthropogenic emission inventories in China:a review'(National Science Review,Volume 4,Issue 6, 2017,Pages 834-866,doi:10.1093/nsr/nwx150),the data for the MEIC vl.2 was incorrectly plotted.The corrected version of Figure 4 is presented below. | Meng Li Huan Liu Guannan Geng Chaopeng Hong Fei Liu Yu Song Ban Tong Bo Zheng Hongyang Cui Hanyang Man Qiang Zhang Kebin He | 2018 | National Science Review2018，5，4： | 5 |
| 3 | Enhancement of potassium resistance of Ce-Ti oxide catalyst for NH_(3)-SCR reaction by modification with holmium显示文摘Alkali metal K in exhaust gas has a deactivation effect on NH_(3)-SCR catalysts.In this work,it is discovered that the addition of Ho on CeTi catalyst can remarkably strengthen its K tolerance.The conclusions of Brunauer-Emmett-Teller(BET),X-ray diffraction(XRD),X-ray photoelectron spectroscopy(XPS),NH_(3) temperature programmed desorption(NH_(3)-TPD)and H_(2)temperature programmed reduction(H_(2)-TPR)analyses demonstrate that the enhancement of K resistance mainly originates from its stronger surface acidity and redox capability,the higher concentration of Ce^(3+)species and surface chemisorbed oxygen.In situ DRIFT analysis reveals that the introduction of Ho on CeTi can remarkably improve the adsorption of NH_(3) and NO_(x) species on catalyst surface,accompanied by the intensified reactivity of ad-NH_(3) species,which should also administer to improve the K resistance. | Chaopeng Duan Ruitang Guo Yuanzhen Liu Guilin Wu Yufang Miao Jingwen Gu Weiguo Pan | 2022 | Journal of Rare Earths2022，40，1： | 3 |
| 4 | Prediction of ultrasonic pulse velocity(UPV) in concrete显示文摘 | Lin Yiching Lai Chaopeng Yen Tsong | 2003 | ACI Materials Journal2003，100，1： | 1 |
| 5 | Supercapacitor based on electropolymerized polythiophene and multi-walled carbon nanotubes composites显示文摘 | Fu Chaopeng Zhou Haihui Liu Rui | 2012 | Mater Chem Phys2012，132，23： | 1 |
| 6 | Does Enforcement of Intellectual Property Rights Matter in China? Evidence from Financing and Investment Choices in the High-Tech Industry显示文摘 | James S Ang Yingmei Cheng Chaopeng Wu | 2014 | Review of Economics and Statistics2014，，2： | 1 |
| 7 | Integrating mitigation of air pollutants and greenhouse gases in Chinese cities: development of GAINS-City model for Beijing显示文摘 | Fei Liu Z. Klimont Qiang Zhang J. Cofala Lijian Zhao Hong Huo B. Nguyen W. Sch?pp R. Sander Bo Zheng Chaopeng Hong Kebin He M. Amann Ch. Heyes | 2013 | Journal of Cleaner Production2013，，： | 1 |
| 8 | Banking systems, in- novations, intellectual property protections and financial markets : Evi- dence from China显示文摘 | HSU Po - Hsuan WANG Chong WU Chaopeng | 2013 | Journal of Business Research2013，66，12： | 1 |
| 9 | In-situ transformed Mott-Schottky heterointerface in silver/manganese oxide nanorods boosting oxygen reduction,oxygen evolution,and hydrogen evolution reactions显示文摘The development of non-platinum group metal(non-PGM)and efficient multifunctional electrocatalysts for oxygen reduction reaction(ORR),oxygen evolution reaction(OER),and hydrogen evolution reaction(HER)with high activity and stability remains a great challenge.Herein,by in-situ transforming silver manganese composite oxide heterointerface into boosted Mott-Schottky heterointerface through a facile carbon reduction strategy,a nanorod-like silver/manganese oxide with superior multifunctional catalytic activities for ORR,OER and HER and stability was obtained.The nanorod-like silver/manganese oxide with Mott-Schottky heterointerface(designated as Ag/Mn_(3)O_(4))exhibits an ORR half-wave potential of 0.831 V(vs.RHE)in 0.1 M KOH,an OER overpotential of 338 mV and a HER overpotential of 177 mV at the current density of 10 mA·cm^(-2)in 1 M KOH,contributing to its noble-metal benchmarks comparable performance in aqueous aluminum-air(Al-air)battery and laboratorial overall water splitting electrolytic cell.Moreover,in-situ electrochemical Raman and synchrotron radiation spectroscopic measurements were conducted to further illustrate the catalytic mechanism of Ag/Mn_(3)O_(4)Mott-Schottky heterointerface towards various electrocatalytic reactions.At the heterointerface,the Ag phase serves as the electron donor and the active phase for ORR and HER,while the Mn_(3)O_(4)phase serves as the electron acceptor and the active phase for OER,respectively.This work deepens the understanding of the Mott-Schottky effect on electrocatalysis and fills in the gap in fundamental physical principles that are behind measured electrocatalytic activity,which offers substantial implications for the rational design of cost-effective multifunctional electrocatalysts with Mott-Schottky effect. | Ruiqi Cheng Kaiqi Li Huanxin Li Fengzhan Sun Xiaoqian He Tianshuo Zhao Jiao Zhang Chaopeng Fu | 2024 | Nano Research2024，17，5： | 0 |
| 10 | A water-stable lanthanide-coordination polymer with free Lewis site for fluorescent sensing of Fe^(3+)显示文摘A new fluorescent coordination polymer(NKU-115) was constructed under solvothermal condition based on Tb^(3+)ion and H_2L(5-(4 H-1,2,4-triazol-4-yl) benzene-1,3-dicarboxylic acid) ligand, featuring high solvent and water stability. Luminescent investigations revealed that NKU-115 shows fluorescence quenching response toward Fe^(3+)in aqueous solution and the mechanism of quenching was analyzed. | Wenhe Wang Qiang Gao Xiaoyu Li Jianhong Wang Chaopeng Wang Yinghui Zhang Xianhe Bu | 2019 | Chinese Chemical Letters2019，30，1： | 0 |
| 11 | Atomically Dispersed Iron Active Sites Promoting Reversible Redox Kinetics and Suppressing Shuttle Effect in Aluminum-Sulfur Batteries显示文摘Rechargeable aluminum-sulfur(Al-S)batteries have been considered as a highly potential energy storage system owing to the high theoretical capacity,good safety,abundant natural reserves,and low cost of Al and S.However,the research progress of Al-S batteries is limited by the slow kinetics and shuttle effect of soluble polysulfides intermediates.Herein,an interconnected free-standing interlayer of iron sin-gle atoms supported on porous nitrogen-doped carbon nanofibers(FeSAs-NCF)on the separator is developed and used as both catalyst and chemical barrier for Al-S batteries.The atomically dispersed iron active sites(Fe-N_(4))are clearly identified by aberration-corrected high-angle annular dark-field scanning transmission electron microscopy and X-ray absorption near-edge structure.The Al-S battery with the FeSAs-NCF shows an improved specific capacity of 780 mAh g^(−1)and enhanced cycle stability.As evidenced by experimental and theoretical results,the atomically dispersed iron active centers on the separator can chemically adsorb the polysulfides and accelerate reaction kinetics to inhibit the shuttle effect and promote the reversible conversion between aluminum polysulfides,thus improving the electrochemical performance of the Al-S battery.This work provides a new way that can not only promote the conversion of aluminum sulfides but also suppress the shuttle effect in Al-S batteries. | Fei Wang Min Jiang Tianshuo Zhao Pengyu Meng Jianmin Ren Zhaohui Yang Jiao Zhang Chaopeng Fu Baode Sun | 2022 | Nano-Micro Letters2022，14，10： | 0 |
| 12 | A Novel Filtering Method for Infrared Image显示文摘The image filtering technology is widely used in many fields, such as environmental monitoring and assessment, space remote sensing, recognition and tracking of infrared target. In this paper, aiming at the problem of poor generalization capability and over-fitting with artificial neutral network for infrared image filtering, a new filtering method is presented. The structure elements are used to set up the training samples. And then, based on support vector machine theory, it builds the learning ma-chine with proper model and trains the samples. The result can be used to suppress the background SNR of following image. The experimental result with infrared image shows that the method can obtain higher SNR than conventional neutral network and fixed Top-Hat operator method, especially in low SNR. | Jian Kang Chunxiao Zhou Weiqiang Xia Chaopeng Shen Guanglu Sun | 2016 | 国际计算机前沿大会会议论文集2016，，1： | 0 |
| 13 | Air-Stable Binary Hydrated Eutectic Electrolytes with Unique Solvation Structure for Rechargeable Aluminum-Ion Batteries显示文摘Aluminum-ion batteries(AIBs)have been highlighted as a potential alternative to lithium-ion batteries for large-scale energy storage due to the abundant reserve,light weight,low cost,and good safety of Al.However,the development of AIBs faces challenges due to the usage of AlCl_(3)-based ionic liquid electrolytes,which are expensive,corrosive,and sensitive to humidity.Here,we develop a low-cost,non-corrosive,and air-stable hydrated eutectic electrolyte composed of aluminum perchlorate nonahydrate and methylurea(MU)ligand.Through optimizing the molar ratio to achieve the unique solvation structure,the formed Al(ClO_4)_(3)·9H_(2)O/MU hydrated deep eutectic electrolyte(AMHEE)with an average coordination number of 2.4 can facilely realize stable and reversible deposition/stripping of Al.When combining with vanadium oxide nanorods positive electrode,the Al-ion full battery delivers a high discharge capacity of 320 mAh g^(-1)with good capacity retention.The unique solvation structure with a low desolvation energy of the AMHEE enables Al^(3+)insertion/extraction during charge/discharge processes,which is evidenced by in situ synchrotron radiation X-ray diffraction.This work opens a new pathway of developing low-cost,safe,environmentally friendly and high-performance electrolytes for practical and sustainable AIBs. | Pengyu Meng Jian Huang Zhaohui Yang Min Jiang Yibo Wang Wei Zhang Jiao Zhang Baode Sun Chaopeng Fu | 2023 | Nano-Micro Letters2023，15，10： | 0 |
| 14 | Microchannel reactors for Fischer-Tropsch synthesis:Experimental investigation and mathematical modeling显示文摘The Fischer-Tropsch synthesis is a significant technology for converting coal,natural gas,and biomass into synthetic fuels.In recent years,the use of microchannel reactors for the Fischer-Tropsch synthesis has attracted significant attention.Fischer-Tropsch synthesis experiments were carried out in a microchannel reactor and the influences of reaction conditions on the experimental results were investigated in this study.Based on the experimental data,a dynamic multi-component pseudo-homogeneous variable-volume flow model of microchannel reactors for the Fischer-Tropsch synthesis was built to determine the pressure-,velocity-,conversion-and(component-wise)concentration-distributions in reaction channels.The model takes into account the combined effects of gas volume expansion caused by the frictional pressure drop and gas volume contraction caused by reaction consumption.A novel effective method for calculating the pressure and superficial gas velocity values in microchannel reactors was proposed in the model.Besides that,two sets of experimental data were selected from references to evaluate the validity and accuracy of the model.The reaction performances in the microchannels were analyzed carefully based on the calculated results. | Huili Cao Run Xu Xiaojin Tang Tao Yang Shuandi Hou Chaopeng Hou | 2023 | Chinese Journal of Chemical Engineering2023，64，12： | 0 |
| 15 | Rational design of vitamin C/defective carbon van der Waals heterostructure for enhanced activity,durability and storage stability toward oxygen reduction reaction显示文摘Metal-free defective carbon materials with abundant active sites have been widely studied as low-cost and efficient oxygen reduction reaction(ORR)electrocatalysts in metal-air batteries.However,the active sites in defective carbon are easily subjected to serious oxidation or hydroxylation during ORR or storage,leading to rapid degradation of activity.Herein,we design a van der Waals heterostructure comprised of vitamin C(VC)and defective carbon(DC)to not only boost the activity but also enhance the durability and storage stability of the DC-VC electrocatalyst.The formation of VC van der Waals between DC and VC is demonstrated to be an effective strategy to protect the defect active sites from oxidation and hydroxylation degradation,thus significantly enhancing the electrochemical durability and storage anti-aging performance.Moreover,the DC-VC van der Waals can reduce the reaction energy barrier to facilitate the ORR.These findings are also confirmed by operando Fourier transform infrared spectroscopy and density functional theory calculations.It is necessary to mention that the preparation of this DC-VC electrocatalyst can be scaled up,and the ORR performance of the largely produced electrocatalyst is demonstrated to be very consistent.Furthermore,the DC-VC-based aluminum-air batteries display very competitive power density with good performance maintenance. | Ruiqi Cheng Kaiqi Li Huanxin Li Tianshuo Zhao Yibo Wang Qingyue Xue Jiao Zhang Chaopeng Fu | 2024 | Journal of Energy Chemistry2024，88，1： | 0 |
| 16 | CATALYST DESIGN FOR METHANE DEHYDROGENATION AND BENZENE HYDROGENATION显示文摘Highly active and stable nickel catalyst for dehydrogenation of methane and hydrogenation of benzene is prepared from a precursor with hydrotalcite-like anionic clam structure by coprecipitation. The nickel particles have a narrow size distribution in several nanometers, and have a strong interaction with other components such as Al2O3. This catalyst is highly sensitive to further modification by doping and to reaction condition. On a modified catalyst, benzene hydrogenation to cyclohexane proceeds to complete at 373 K. While on another catalyst, different structured nanocarbons are obtained at moderate temperatures. It is found that the thioresistance of the nickel catalyst in hydrogenation can be improved by doping. | Li Yongdan, Hou Chaopeng, Qin Yuxiang, Meng Xiangchun, Chen Jiuling and Chang Liu (Department of Catalysis Science and Technology School of Chemical Engineering, Tianjin University Tianjin 300072) | 2000 | 化工学报2000，51，S1： | 0 |
| 17 | Multi-Agent Deep Reinforcement Learning for Efficient Computation Offloading in Mobile Edge Computing显示文摘Mobile-edge computing(MEC)is a promising technology for the fifth-generation(5G)and sixth-generation(6G)architectures,which provides resourceful computing capabilities for Internet of Things(IoT)devices,such as virtual reality,mobile devices,and smart cities.In general,these IoT applications always bring higher energy consumption than traditional applications,which are usually energy-constrained.To provide persistent energy,many references have studied the offloading problem to save energy consumption.However,the dynamic environment dramatically increases the optimization difficulty of the offloading decision.In this paper,we aim to minimize the energy consumption of the entireMECsystemunder the latency constraint by fully considering the dynamic environment.UnderMarkov games,we propose amulti-agent deep reinforcement learning approach based on the bi-level actorcritic learning structure to jointly optimize the offloading decision and resource allocation,which can solve the combinatorial optimization problem using an asymmetric method and compute the Stackelberg equilibrium as a better convergence point than Nash equilibrium in terms of Pareto superiority.Our method can better adapt to a dynamic environment during the data transmission than the single-agent strategy and can effectively tackle the coordination problem in the multi-agent environment.The simulation results show that the proposed method could decrease the total computational overhead by 17.8%compared to the actor-critic-based method and reduce the total computational overhead by 31.3%,36.5%,and 44.7%compared with randomoffloading,all local execution,and all offloading execution,respectively. | Tianzhe Jiao Xiaoyue Feng Chaopeng Guo Dongqi Wang Jie Song | 2023 | Computers, Materials & Continua2023，76，9： | 0 |
| 18 | Seasonal Variation of the Sea Surface Temperature Growth Rate of ENSO显示文摘El Ni?o–Southern Oscillation(ENSO) exhibits a distinctive phase-locking characteristic, first expressed during its onset in boreal spring, developing during summer and autumn, reaching its peak towards winter, and decaying over the next spring. Several studies have demonstrated that this feature arises as a result of seasonal variation in the growth rate of ENSO as expressed by the sea surface temperature(SST). The bias towards simulating the phase locking of ENSO by many state-of-the-art climate models is also attributed to the unrealistic depiction of the growth rate. In this study, the seasonal variation of SST growth rate in the Ni?o-3.4 region(5°S–5°N, 120°–170°W) is estimated in detail based on the mixed layer heat budget equation and recharge oscillator model during 1981–2020. It is suggested that the consideration of a variable mixed layer depth is essential to its diagnostic process. The estimated growth rate has a remarkable seasonal cycle with minimum rates occurring in spring and maximum rates evident in autumn. More specifically, the growth rate derived from the meridional advection(surface heat flux) is positive(negative) throughout the year. Vertical diffusion generally makes a negative contribution to the evolution of growth rate and the magnitude of vertical entrainment represents the smallest contributor. Analysis indicates that the zonal advective feedback is regulated by the meridional immigration of the intertropical convergence zone, which approaches its southernmost extent in February and progresses to its northernmost location in September, and dominates the seasonal variation of the SST growth rate. | Xinyi XING Xianghui FANG Da PANG Chaopeng JI | 2024 | Advances in Atmospheric Sciences2024，41，3： | 0 |
| 19 | Deep convolutional neural network for meteorology target detection in airborne weather radar images显示文摘Considering the problem that the scattering echo images of airborne Doppler weather radar are often reduced by ground clutters,the accuracy and confidence of meteorology target detection are reduced.In this paper,a deep convolutional neural network(DCNN)is proposed for meteorology target detection and ground clutter suppression with a large collection of airborne weather radar images as network input.For each weather radar image,the corresponding digital elevation model(DEM)image is extracted on basis of the radar antenna scan-ning parameters and plane position,and is further fed to the net-work as a supplement for ground clutter suppression.The fea-tures of actual meteorology targets are learned in each bottle-neck module of the proposed network and convolved into deeper iterations in the forward propagation process.Then the network parameters are updated by the back propagation itera-tion of the training error.Experimental results on the real mea-sured images show that our proposed DCNN outperforms the counterparts in terms of six evaluation factors.Meanwhile,the network outputs are in good agreement with the expected mete-orology detection results(labels).It is demonstrated that the pro-posed network would have a promising meteorology observa-tion application with minimal effort on network variables or parameter changes. | YU Chaopeng XIONG Wei LI Xiaoqing DONG Lei | 2023 | Journal of Systems Engineering and Electronics2023，34，5： | 0 |
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