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| 1 | Applying Neural-Network-Based Machine Learning to Additive Manufacturing:Current Applications,Challenges,and Future Perspectives显示文摘Additive manufacturing(AM),also known as three-dimensional printing,is gaining increasing attention from academia and industry due to the unique advantages it has in comparison with traditional subtractive manufacturing.However,AM processing parameters are difficult to tune,since they can exert a huge impact on the printed microstructure and on the performance of the subsequent products.It is a difficult task to build a process-structure-property-performance(PSPP)relationship for AM using traditional numerical and analytical models.Today,the machine learning(ML)method has been demonstrated to be a valid way to perform complex pattern recognition and regression analysis without an explicit need to construct and solve the underlying physical models.Among ML algorithms,the neural network(NN)is the most widely used model due to the large dataset that is currently available,strong computational power,and sophisticated algorithm architecture.This paper overviews the progress of applying the NN algorithm to several aspects of the AM whole chain,including model design,in situ monitoring,and quality evaluation.Current challenges in applying NNs to AM and potential solutions for these problems are then outlined.Finally,future trends are proposed in order to provide an overall discussion of this interdisciplinary area. | Xinbo Qi Guofeng Chen Yong Li Xuan Cheng Changpeng Li | 2019 | Engineering2019，5，4： | 11 |
| 2 | Recent development of methanol electrooxidation catalysts for directmethanol fuel cell显示文摘Direct methanol fuel cells(DMFCs) are very promising power source for stationary and portable miniature electric appliances due to its high efficiency and low emissions of pollutants. As the key material, catalysts for both cathode and anode face several problems which hinder the commercialization of DMFCs.In this review, we mainly focus on anode catalysts of DMFCs. The process and mechanism of methanol electrooxidation on Pt and Pt-based catalysts in acidic medium have been introduced. The influences of size effect and morphology on electrocatalytic activity are discussed though whether there is a size effect in MOR catalyst is under debate. Besides, the non Pt catalysts are also listed to emphasize though Pt is still deemed as the indispensable element in anode catalyst of DMFCs in acidic medium. Different catalyst systems are compared to illustrate the level of research at present. Some debates need to be verified with experimental evidences. | Liyuan Gong Zhiyuan Yang Kui Li Wei Xing Changpeng Liu Junjie Ge | 2018 | Journal of Energy Chemistry2018，27，6： | 9 |
| 3 | The next generation models for crops and agro-ecosystems显示文摘Growth in population, decrease in arable land area, and change in climate are endangering our food security. Precision agriculture has the potential to increase crop productivity thorough tailored agricultural practices for different growing areas. Many models of crops and agro-ecosystems capable of predicting interaction between plants and environments have been developed for precision agriculture. Currently, there are several representative categories of crop and agro-ecosystem models, including the de Wit school models, the DSSAT series models and the APSIM series models, which have contributed substantially to improvement of agricultural practices. However, these models are weak in predicting performances of crops under environmental and genetic perturbations are generally weak, which severely limits the application of these models in guiding precision agriculture. We need to develop the next generation crop and agro-ecosystems models with a high level of mechanistic basis, which can be integrated with high throughput data and can predict the heterogeneity of environmental factors inside canopy and dynamic canopy photosynthesis. In developing such a model close collaboration is inevitably required among scientists from different disciplines. The successful development and application of such models will undoubtedly advance precision agriculture through providing better agronomical practices tailored for different growing environments. These models will also form a basis to identify breeding targets for increased productivity at given location with given soil and climatic conditions. | ZHU XinGuang ZHANG GuiLian THOLEN Danny WANG Yu XIN ChangPeng SONG QingFeng | 2011 | Science China(Information Sciences)2011，54，3： | 6 |
| 4 | Recent advances in active sites identification and regulation of M-N/C electro-catalysts towards ORR显示文摘Transition metal and nitrogen co-doped carbon(M–N/C) catalysts are recognized as the most prospective alternatives for platinum-based electro-catalysts towards oxygen reduction reaction(ORR) in polymer electrolyte fuel cells. Recently, significant progress has been achieved in the identification and regulation of active sites of this kind of catalysts. In this mini review,we summarize the techniques and strategies to identify active sites in M–N/C catalysts, the main debates on active sites types, the measurement method for active site density, the reactivity descriptors for M–N/C catalysts, and directions to the design of ORR M–N/C catalysts. | Jie Liu Zhao Jin Xian Wang Junjie Ge Changpeng Liu Wei Xing | 2019 | Science China Chemistry2019，62，6： | 6 |
| 5 | Progress of Apple Rootstock Breeding and Its Use显示文摘Apple rootstock breeding has achieved great progress worldwide.In this review,we first summarize the rootstock breeding targets and utilization in main apple-producing countries.Furthermore,we discuss the focus and important research areas of apple rootstock breeding through five aspects:parent selection and setting of crosses,target genes and marker-assisted breeding,root configuration-guided breeding,apomictic resource utilization,and the application of genetic engineering.Finally,we propose an apple rootstock division plan for China,which has a large potential to provide guidance for apple rootstock breeding and utilization in different apple-producing areas of China. | Yi Wang Wei Li Xuefeng Xu Changpeng Qiu Ting Wu Qinping Wei Fengwang Ma Zhenhai Han | 2019 | Horticultural Plant Journal2019，5，5： | 6 |
| 6 | Quantum Algorithm Design:Techniques and Applications显示文摘In recent years, rapid developments of quantum computer are witnessed in both the hardware and the algorithm domains, making it necessary to have an updated review of some major techniques and applications in quantum algorithm design.In this survey as well as tutorial article, the authors ?rst present an overview of the development of quantum algorithms, then investigate ?ve important techniques: Quantum phase estimation, linear combination of unitaries, quantum linear solver, Grover search, and quantum walk, together with their applications in quantum state preparation, quantum machine learning, and quantum search. In the end, the authors collect some open problems in?uencing the development of future quantum algorithms. | SHAO Changpeng LI Yang LI Hongbo | 2019 | Journal of Systems Science & Complexity2019，32，1： | 5 |
| 7 | Correlating Fe source with Fe-N-C active site construction: Guidancefor rational design of high-performance ORR catalyst显示文摘Pyrolyzed Fe-N_X/C materials derived from Fe-doped ZIF-8 are recently emerged as promising alternatives to noble metal platinum-based catalysts towards oxygen reduction reaction(ORR) and elucidating the dependacne of Fe source on the active site structure and final ORR performance is highly desirbale for further development of these materials. Here, we designed and synthesized a series of Fe-N-C catalysts using ZIF-8 and various iron salts(Fe(acac)_3, FeCl_3, Fe(NO_3)_3) as precusors. We found that the iron precursors,mainly the molecular size, hydrolysis extent, do play a major role in determining the final morphology of Fe, namely forming the Fe-Nx coordination or Fe_3C nanoparticles, as well as the site density, therefore,significantly affecting the ORR activity. Among the three iron sources, Fe(acac)_3 is most advantageous to the preferential formation of single-atom Fe-Nx active sites and the derived catalyst demonstrated best ORR performance. | Liqin Gao Meiling Xiao Zhao Jin Changpeng Liu Jianbing Zhu Junjie Ge Wei Xing | 2018 | Journal of Energy Chemistry2018，27，6： | 4 |
| 8 | Nanocluster PtNiP supported on graphene as an efficient electrocatalyst for methanol oxidation reaction显示文摘In this study,phosphorus doped graphene supported PtNiP nanocluster electrocatalyst(PtNiP/P-graphene)was successfully prepared via a simple hypophosphite-assisted co-reduction method.The improved anchoring force and increased anchoring sites of graphene support result from phosphorus doping as well as size-confined growth effect of NaH_(2)PO_(2) leads to uniform dispersion of ultrafine PtNiP nanoclusters.Doped P also promotes the removal of CO-like intermediate by adjusting Pt electronic structure combining with alloyed Ni via electronic effects.As a result,the as-prepared PtNiP/P-graphene catalyst with more exposed active sites and optimized electronic structure of Pt alloy shows excellent electrocatalytic performances for methanol oxidation reaction(MOR)both in activity and durability in an acidic medium. | Long Yang Guoqiang Li Rongpeng Ma Shuai Hou Jinfa Chang Mingbo Ruan Wenbin Cai Zhao Jin Weilin Xu Guiling Wang Junjie Ge Changpeng Liu Wei Xing | 2021 | Nano Research2021，14，8： | 4 |
| 9 | Oxygen-vacancy-rich TiO_(2)enables highly active and durable water electrolysis of urchin-like RuO_(2)catalyst显示文摘The material innovation is prerequisite to accelerating sluggish oxygen evolution reaction(OER)kinetics,thus promoting the realization of hydrogen energy community.Herein,we develop an oxygen-vacancy-rich TiO_(2)supported RuO_(2)catalyst(RuO_(2)@r-TiO_(2))towards improved OER activity and stability.The oxygen vacancy on TiO_(2)not only supplies electrons to produce lower valence Ru,but also provides sufficient anchoring site for the deposition of RuO_(2)nanocrystal.Beyond that,it can generate strong electronic interaction between TiO_(2)and supported RuO_(2),and thereby tailors the intermediates’adsorption energy on the RuO_(2)surface.As a result,the derived RuO_(2)@r-TiO_(2)catalyst exhibits superior OER activity and stability with the overpotential of 211 mV at a current density of 10 mA cm^(−2)and negligible activity degradation after 6 h operation,outperforming the non-oxygen-vacancy counterpart(223.3 mV,12.75%activity loss)and RuO_(2)catalyst(234.6 mV,42.86%activity loss). | GAO HongMei XIAO MeiLing LI GuoQiang GAO LiQin MENG QingLei LUO ZhaoYan LUO ErGui LIU ChangPeng JIN Zhao GE JunJie XING Wei | 2022 | Science China(Technological Sciences)2022，65，10： | 3 |
| 10 | ePlant for quantitative and predictive plant science research in the big data era --Lay the foundation for the future model guided crop breeding, engineering and agronomy显示文摘背景在着急地在最近的十年统一陆地区域基础上的庄稼产量的全球人口,气候变化和停滞的增加打电话让一条新途径支持当代的庄稼改进。ePlant 与机械学的细节的高水平是植物生长和开发的一个数学模型遇见这挑战。结果 ePlant 集成为过程发生在开发的模块急速地不同时间( 108106 秒)并且空间( 101010 米)可伸缩,合并多样的物理、生物物理、生物化学的过程包括基因规定,新陈代谢的反应,底层运输和散开,精力吸收,转移和变换,机关形态发生,植物环境相互作用,等等。单个模块用一条 divide-and-conquer 途径被开发;在不同时间、空间的规模的模块进一步通过转移 variables.We 是综合的基于信息几何学建议一个监督学习过程为两知识发现和模型扩展或进展联合模型和数据。我们最后讨论一个全球协会的最近的形成,它在植物生物学包括专家,计算机科学,统计,农学, phenomics ,等等试图由支持模型作为一个社区努力被开发而不是在哪儿的一个新模型开发范例帮助 ePlant 或它的等价物的开发和应用程序主要由单个实验室努力开车。结论 ePlant 支持量、预兆的植物科学研究的一个主要研究工具,将在未来模型起一个关键作用指导庄稼工程,繁殖并且农学。 | Yi Xiao Tiangen Chang Qingfeng Song Shuyue Wang Danny Tholen Yu Wang Changpeng xin Guangyong Zheng Honglong Zhao Xin-Guang Zhu | 2017 | Frontiers of Electrical and Electronic Engineering in China2017，5，3： | 3 |
| 11 | Low-temperature synthesis of nitrogen doped carbon nanotubes as promising catalyst support for methanol oxidation显示文摘The electrochemical methanol oxidation reaction(MOR) is of paramount importance for direct methanol fuel cell(DMFC) application, where efficient catalysts are required to facilitate the complicated multiple charge transfer process. The catalyst support not only determines the dispersion status of the catalysts particles, but also exerts great influence on the electronic structure of the catalysts, thereby altering its intrinsic activity. Herein, we demonstrated that nitrogen atoms, assisted by the pre-treatment of carbon matrix with oxidants, can be easily doped into carbon nanotubes at low temperature. The obtained nitrogen-doped carbon nanotubes can effectively improve the dispersion of the supported platinum nanoparticles and facilitate the MOR by modifying the electronic structure of platinum atoms,through catalyst-support interaction. | Liang Liang Meiling Xiao Jianbing Zhu Junjie Ge Changpeng Liu Wei Xing | 2019 | Journal of Energy Chemistry2019，28，1： | 3 |
| 12 | Human factors quantification via boundary identification of flight performance margin显示文摘A systematic methodology including a computational pilot model and a pattern recognition method is presented to identify the boundary of the flight performance margin for quantifying the human factors. The pilot model is proposed to correlate a set of quantitative human factors which represent the attributes and characteristics of a group of pilots. Three information processing components which are influenced by human factors are modeled: information perception, decision making, and action execution. By treating the human factors as stochastic variables that follow appropriate probability density functions, the effects of human factors on flight performance can be investigated through Monte Carlo(MC) simulation. Kernel density estimation algorithm is selected to find and rank the influential human factors. Subsequently, human factors are quantified through identifying the boundary of the flight performance margin by the k-nearest neighbor(k-NN) classifier. Simulation-based analysis shows that flight performance can be dramatically improved with the quantitative human factors. | Yang Changpeng Yin Tangwen Zhao Weina Huang Dan Fu Shan | 2014 | Chinese Journal of Aeronautics2014，27，4： | 3 |
| 13 | Surface interaction between Pd and nitrogen derived from hyperbranched polyamide towards highly effective formic acid dehydrogenation显示文摘Hydrogen production from formic acid decomposition(FAD)is a promising means of hydrogen energy storage and utilization in fuel cells.Development of efficient catalysts for dehydrogenation of formic acid is a challenging topic.The surface chemical and electronic structure of the active catalysis components is important in formic acid decomposition at room-temperature.Here,the pyrdinic-nitrogen doped catalysts from hyperbranched polyamide were prepared via in situ polymerization reaction process by using activated carbon as a support.Because of the introduction of the polymer,the particles of the catalysts were stabilized,and the average particle diameter was only 1.64 nm.Under mild conditions,the catalysts activities were evaluated for FAD.The optimized Pd-N30/C catalyst exhibited high performance achieving almost full conversion,with a turnover frequency of 3481 h^-1 at 30℃. | Yancun Yu Xian Wang Changpeng Liu Fateev Vladimir Junjie Ge Wei Xing | 2020 | Journal of Energy Chemistry2020，29，1： | 3 |
| 14 | Current Trends and Perspectives of Detection and Location for Buried Non-Metallic Pipelines显示文摘Buried pipelines are an essential component of the urban infrastructure of modern cities.Traditional buried pipes are mainly made of metal materials.With the development of material science and technology in recent years,non-metallic pipes,such as plastic pipes,ceramic pipes,and concrete pipes,are increasingly taking the place of pipes made from metal in various pipeline networks such as water supply,drainage,heat,industry,oil,and gas.The location technologies for the location of the buried metal pipeline have become mature,but detection and location technologies for the non-metallic pipelines are still developing.In this paper,current trends and future perspectives of detection and location of buried non-metallic pipelines are summarized.Initially,this paper reviews and analyzes electromagnetic induction technologies,electromagnetic wave technologies,and other physics-based technologies.It then focuses on acoustic detection and location technologies,and finally introduces emerging technologies.Then the technical characteristics of each detection and location method have been compared,with their strengths and weaknesses identified.The current trends and future perspectives of each buried non-metallic pipeline detection and location technology have also been defined.Finally,some suggestions for the future development of buried non-metallic pipeline detection and location technologies are provided. | Liang Ge Changpeng Zhang Guiyun Tian Xiaoting Xiao Junaid Ahmed Guohui Wei Ze Hu Ju Xiang Mark Robinson | 2021 | Chinese Journal of Mechanical Engineering2021，34，5： | 2 |
| 15 | Thickness effects on magnetoelectric coupling for Metglas/PZT/Metglas laminates显示文摘Thickness effects on the ME coefficient ME and electromechanical resonance frequency of Metglas/PZT/Metglas tri-layered laminates are investigated.The thickness of the magnetic plate is changed by assembling different numbers of the Metglas thin sheets (30 m for each layer) while the PZT plate is maintained at constant thickness (0.5 mm).At 1 kHz of the applied alternating magnetic field,only one peak presents in the ME coefficient (ME) versus static magnetic field (HS) curve.As the thickness ratio n increases,the peak value of ME first increases and reaches a maximum at approximately n=0.519,and then decreases afterward.The peak position (Hoptim) moves steadily toward a higher value as n increases.It is suggested that the relaxation factor k of the magnetic phase is reduced as n increases,causing the decrease of the piezomagnetic coefficient d 11,m and the increase of H optim.By employing the micromechanics model and considering the degradation of d 11,m with n,an optimized thickness ratio of 0.5 is predicted,which is in agreement with the experimental observations.The resonance frequency of the laminate increases with n,which is consistent with the calculation using a straightforward mixture law. | FANG Fei ZHAO ChangPeng YANG Wei | 2011 | Science China(Physics,Mechanics & Astronomy)2011，54，4： | 2 |
| 16 | Accelerated oxygen reduction on Fe/N/C catalysts derived from precisely-designed ZIF precursors显示文摘Fe/N/C material is the most competitive alternative to precious-metal catalysts for oxygen reduction.In view of the present consensus on active centers,further effort is directed at maximizing the density of single Fe atoms.Here,the imperfections in commonly used doping strategy of Fe for the synthesis of zeolitic imidazolateframework(ZIF)-derived Fe/N/C catalysts are revealed.More importantly,a strikingly improved catalyst is obtained by a‘second pyrolysis’method and delivers a half-wave potential of 0.825 V(vs.RHE)in acidic media.The strong confinement effect of carbonaceous host accounts for the formation of dense single-atom sites and thus the high activity.Our findings will potentially facilitate future improvement of M/N/C catalysts. | Ergui Luo Chen Wang Yang Li Xian Wang Liyuan Gong Tuo Zhao Zhao Jin Junjie Ge Changpeng Liu Wei Xing | 2020 | Nano Research2020，13，9： | 2 |
| 17 | Selecting between Sequential Zoning and Simultaneous Zoning for Picker-to-parts Order Picking System Based on Order Cluster and Genetic Algorithm显示文摘The existing research of sequential zoning system and simultaneous zoning system mainly focuses on some optimization problems such as workload balance,product assignment and simulation for each system separately.But there is little research on comparative study between sequential zoning and simultaneous zoning.In order to help the designers to choose the suitable zoning policy for picker-to-parts system reasonably and quickly,a systemic selection method is presented.Essentially,both zoning and batching are order clustering,so the customer order sheet can be divided into many unit grids.After the time formulation in one-dimensional unit was defined,the time models for each zoning policy in two-dimensional space were established using filling curves and sequence models to link the one-dimensional unit grids.In consideration of 'U' shaped dual tour into consideration,the subtraction value of order picking time between sequential zoning and simultaneous zoning was defined as the objective function to select the suitable zoning policy based on time models.As it is convergent enough,genetic algorithm is adopted to find the optimal value of order picking time.In the experimental study,5 different kinds of order/stock keeping unit(SKU) matrices with different densities d and quantities q following uniform distribution were created in order to test the suitability of sequential zoning and simultaneous zoning to different kinds of orders.After parameters setting,experimental orders inputting and iterative computations,the optimal order picking time for each zoning policy was gotten.By observing whether the delta time between them is greater than 0 or not,the suitability of zoning policies for picker-to-parts system were obtained.The significant effect of batch size b,zone number z and density d on suitability was also found by experimental study.The proposed research provides a new method for selection between sequential zoning and simultaneous zoning for picker-to-parts system,and improves the rationality and efficiency of selection process in practical design. | SHEN Changpeng WU Yaohua ZHOU Chen | 2011 | Chinese Journal of Mechanical Engineering2011，24，5： | 2 |
| 18 | Hydrogen etching induced hierarchical meso/micro-pore structure with increased active density to boost ORR performance of Fe-N-C catalyst显示文摘Rational regulation on pore structure and active site density plays critical roles in enhancing the performance of Fe-N-C catalysts. As the microporous structure of the carbon substrate is generally regarded as the active site hosts, its hostility to electron/mass transfer could lead to the incomplete fulfillment of the catalytic activity. Besides, the formation of inactive metallic Fe particles during the conventional catalyst synthesis could also decrease the active site density and complicate the identification of real active site. Herein, we developed a facial hydrogen etching methodology to yield single site Fe-N-C catalysts featured with micro/mesoporous hierarchical structure. The hydrogen concentration in pyrolysis process was designated to effectively regulate the pore structure and active site density of the resulted catalysts.The optimized sample achieves excellent ORR catalytic performance with an ultralow H2O2 yield(1%)and superb stability over 10,000 cycles. Our finding provides new thoughts for the rational design of hierarchically porous carbon-based materials and highly promising non-precious metal ORR catalysts. | Liqin Gao Meiling Xiao Zhao Jin Changpeng Liu Junjie Ge Wei Xing | 2019 | Journal of Energy Chemistry2019，28，8： | 2 |
| 19 | Identification of active sites and synergistic effect in multicomponent carbon-based Ru catalysts during electrocatalytic hydrogen evolution显示文摘Single atom catalysts(SACs)were reported to demonstrate exciting catalytic features for a number of reactions,including hydrogen evolution reaction(HER).However,the true role of these single atom sites in catalysts remains elusive,particularly for those prepared via pyrolysis,where the formation of active nanoparticle counterparts is often unavoidable.Here we report a Ru based catalyst(Ru embedded in N doped carbon spheres(Ru/NPCS))comprising of both Ru nanoclusters and Ru single sites,who demonstrates activity exceeding Pt catalyst and mass activity among the best of the Ru based catalysts under acidic conditions.The integration of proton exchange membrane water electrolysis with Ru/NPCS as a cathode exhibited an excellent hydrogen generation activity and extraordinary stability(during 120 h of electrolysis)with a 1/48 Ru loading(16.5μgRu·cm^(−2))of a commercial 20%Pt/C catalyst.Through precisely tailoring the dispersion status of the catalysts,we reveal that while ruthenium nanoclusters actively catalyze HER via Volmer–Tafel mechanism,the Ru SACs barely catalyze HER,with H*adsorption difficult to occur.Moreover,no synergy between Ru SACs and Ru cluster is revealed,meaning the Ru SACs act as a spectator rather than active species during H2 evolution. | Rongpeng Ma Xian Wang Xiaolong Yang Yang Li Changpeng Liu Junjie Ge Wei Xing | 2023 | Nano Research2023，16，1： | 2 |
| 20 | Study on longitudinal wind load calculation method of cables for cable-stayed bridge显示文摘Along with the expanding of span of cable-stayed bridge,wind load becomes a more and more important controlling factor for bridge the design.A very large proportion of the wind load acting on cables has exceeded that acting on deck.There was not any detailed prescript in Chinese code for calculation of longitudinal wind load on cables due to lack of theoretical research and experiment,and conservative simplified calculation was adopted during design,which leads to conservative and uneconomical design of structures.To resolve this problem,cable force experiment was carried out during the design of Sutong Bridge.By comparing with international research results,the calculation formula of longitudinal wind drag coefficient for cables was advanced to fill the blank of bridge wind resistant code of China,and has already been adopted in the Highway Bridge Wind Resistant Design Code(JTG/T D60-01-2004)with great significance for bridge engineering. | Pei Minshan Zhang Xigang Zhu Bin Hou Bin Liu Changpeng | 2009 | Engineering Sciences2009，7，1： | 2 |
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