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| 1 | Progress of the key materials for organic solar cells显示文摘Organic solar cells have attracted academic and industrial interests due to the advantages like lightweight,flexibility and roll-to-roll fabrication.Nowadays,18%power conversion efficiency has been achieved in the state-of-the-art organic solar cells.The recent rapid progress in organic solar cells relies on the continuously emerging new materials and device fabrication technologies,and the deep understanding on film morphology,molecular packing and device physics.Donor and acceptor materials are the key materials for organic solar cells since they determine the device performance.The past 25 years have witnessed an odyssey in developing high-performance donors and acceptors.In this review,we focus on those star materials and milestone work,and introduce the molecular structure evolution of key materials.These key materials include homopolymer donors,D-A copolymer donors,A-D-A small molecular donors,fullerene acceptors and nonfullerene acceptors.At last,we outlook the challenges and very important directions in key materials development. | Yang Tong Zuo Xiao Xiaoyan Du Chuantian Zuo Yuelong Li Menglan Lv Yongbo Yuan Chenyi Yi Feng Hao Yong Hua Ting Lei Qianqian Lin Kuan Sun Dewei Zhao Chunhui Duan Xiangfeng Shao Wei Li Hin-Lap Yip Zhengguo Xiaol Bin Zhang Qingzhen Bian Yuanhang Cheng Shengjian Liu Ming Cheng Zhiwen Jin Shangfeng Yang Liming Ding | 2020 | Science China Chemistry2020，63，6： | 15 |
| 2 | Ionic liquid modified Pt/C electrocatalysts for cathode application in proton exchange membrane fuel cells显示文摘The modification of Pt/C catalyst by using ionic liquids to improve their catalyst activities has been reported by many researchers,but their practical behavior in operating fuel cells is still unknown.In this work,we study the ionic liquid modified Pt/C nanoparticle catalysts within cathodes for proton exchange membrane fuel cells.The influence of the ionic liquid amount,adsorption times and dispersing solvents are investigated.The experiment results show the best performance enhancement is achieved through two-time surface modification with 2 wt-%ionic liquid solution.The mechanisms are explored with the attribution to the high oxygen solubility in the ionic liquid enabling an improved oxygen diffusion in micropores and to good hydrophobicity facilitating water expelling from the active sites in fuel cell operation. | Huixin Zhang Jinying Liang Bangwang Xia Yang Li Shangfeng Du | 2019 | Frontiers of Chemical Science and Engineering2019，13，4： | 4 |
| 3 | Robust model predictive control for greenhouse temperature based on particle swarm optimization显示文摘Application of model predictive control(MPC)in horticultural practice requires detailed models.However,even highly sophisticated greenhouse climate models are often known to have unknown dynamics affected by bounded uncertainties.To enforce robustness during the controller design stage,this paper proposes a particle swarm optimization(PSO)-based robust MPC strategy for greenhouse temperature systems.The strategy is based on a nonlinear physical temperature affine model.The robust MPC technique requires online solution of a minimax optimal control problem,which optimizes the tradeoff between set point tracking and cost requirements reduction.The minimax optimization problem is reformulated to a nonlinear programming problem with constraints.PSO is used to solve the reformulated problem and priority ranking of constraint fitness is proposed to guarantee that the constraints are satisfied.The results of simulations performed using the proposed control system show that the controller can effectively achieve the set point in the presence of disturbances and that it offers more suitable control variables,higher control precision,and stronger robustness than the conventional MPC. | Lijun Chen Shangfeng Du Yaofeng He Meihui Liang Dan Xu | 2018 | Information Processing in Agriculture2018，5，3： | 4 |
| 4 | In situ grown nanoscale platinum on carbon powder as catalyst layer in proton exchange membrane fuel cells(PEMFCs)显示文摘An extensive study has been conducted on the proton exchange membrane fuel cells(PEMFCs) with reducing Pt loading.This is commonly achieved by developing methods to increase the utilization of the platinum in the catalyst layer of the electrodes.In this paper,a novel process of the catalyst layers was introduced and investigated.A mixture of carbon powder and Nafion solution was sprayed on the glassy carbon electrode(GCE) to form a thin carbon layer.Then Pt particles were deposited on the surface by reducing hexachloroplatinic(Ⅳ) acid hexahydrate with methanoic acid.SEM images showed a continuous Pt gradient profile among the thickness direction of the catalytic layer by the novel method.The Pt nanowires grown are in the size of 3 nm(diameter) x 10 nm(length) by high solution TEM image.The novel catalyst layer was characterized by cyclic voltammetry(CV) and scanning electron microscope(SEM) as compared with commercial Pt/C black and Pt catalyst layer obtained from sputtering.The results showed that the platinum nanoparticles deposited on the carbon powder were highly utilized as they directly faced the gas diffusion layer and offered easy access to reactants(oxygen or hydrogen). | Sheng Sui Xiaolong Zhuo Kaihua Su Xianyong Yao Junliang Zhang Shangfeng Du Kevin Kendall | 2013 | Journal of Energy Chemistry2013，22，3： | 2 |
| 5 | A Wireless Sensor Network Based Water Temperature Stratification Monitoring System for Aquaculture of Sea Cucumber 显示文摘 | Chen Ji Li Daoliang Du Shangfeng | 2011 | Sensor Letters2011，，9： | 1 |
| 6 | A wireless sensor network based water temperature stratification monitoring sys- tem for aquaculture of sea cucumber 显示文摘 | Chen Ji Li Daoliang Du Shangfeng | 2011 | Sensor Letters2011，9，3： | 1 |
| 7 | Catalyst loading for Pt-nanowire thinfilm electrodes in PEFCs 显示文摘 | Du Shangfeng Pollee Bruno G | 2012 | International Journal of HydrogenEnergy2012，37，17： | 1 |
| 8 | ZNF3 regulates proliferation,migration and invasion through MMP1 and TWIST in colorectal cancer显示文摘Colorectal cancer(CRC)is a malignant tumor with a high incidence and mortality worldwide.Currently,the underlying molecular mechanisms of CRC are still unclear.Zinc finger protein 3(ZNF3)is a zinc-finger transcription factor that has been reported as a candidate for breast cancer prognosis,suggesting its involvement in the regulation of tumorigenesis.However,the association between ZNF3 and CRC remains unknown.To investigate the role of ZNF3 in CRC,we first analyze the correlation between ZNF3 expression and CRC,and the results demonstrate that ZNF3 is highly expressed in CRC tissue and cells,which is associated with the age of CRC patients.In vitro studies show that ZNF3 overexpression promotes CRC cell migration.Compared to control cells,knockdown of ZNF3 markedly suppresses CRC cell proliferation,migration and invasion and promotes G0/G1 phase cell cycle arrest.The expressions of the EMT-related markers TWIST and MMP1 are significantly decreased when ZNF3 is silenced.Additionally,overexpression of MMP1 and TWIST exacerbates CRC cell proliferation,accelerates the S phase cell cycle in ZNF3-knockdown SW480 cells,and increases cell migration and invasion through Transwell chambers.These data suggest that ZNF3 is involved in cellular proliferation,migration and invasion by regulating MMP1 and TWIST in CRC cells. | Le Du Ning Liu Jianfeng Jin Meng Cao Yuantian Sun Xinzheng Gao Banzhan Ruan Shangfeng Yang Dongsheng Ge Yingzhuan Ye Yinxi Zhou Erfei Chen Jin Yang | 2022 | Acta Biochimica et Biophysica Sinica2022，54，12： | 1 |
| 9 | Recent Advances in Electrode Design Based on One-Dimensional Nanostructure Arrays for Proton Exchange Membrane Fuel Cell Applications显示文摘One-dimensional(1D)Pt-based electrocatalysts demonstrate outstanding catalytic activities and stability toward the oxygen reduction reaction(ORR).Advances in three-dimensional(3D)ordered electrodes based on 1D Pt-based nanostructure arrays have revealed great potential for developing highperformance proton exchange membrane fuel cells(PEMFCs),in particular for addressing the mass transfer and durability challenges of Pt/C nanoparticle electrodes.This paper reviews recent progress in the field,with a focus on the 3D ordered electrodes based on self-standing Pt nanowire arrays.Nanostructured thin-film(NSTF)catalysts are discussed along with electrodes made from Pt-based nanoparticles deposited on arrays of polymer nanowires,and carbon and TiO2 nanotubes.Achievements on electrodes from Pt-based nanotube arrays are also reviewed.The importance of size,surface properties,and the distribution control of 1D catalyst nanostructures is indicated.Finally,challenges and future development opportunities are addressed regarding increasing electrochemical surface area(ECSA)and quantifying oxygen mass transport resistance for 1D nanostructure array electrodes. | Shangfeng Du | 2021 | Engineering2021，7，1： | 0 |
| 10 | Comparison of three measurement models of soil nitrate-nitrogen based on ion-selective electrodes显示文摘Ion-selective electrode(ISE)is a quick and low-cost method of soil nitrate nitrogen(N)detection.The measurement models of soil nitrate-N based on ISEs includes the linear regression model,multiple linear regression model and BP neural network model,and so on.Three models were analyzed in theory,measurement experiments of validation samples and soil nitrate-N concentrations were carried out in this study,and the measurement accuracies of the three models were compared.The results showed that,in the measurement experiments of validation samples and soil nitrate-N concentrations,BP neural network model had the highest accuracy(the average relative errors between results of the BP neural network model and the reference values were 5.07%and 8.81%,respectively)among the three models,multiple linear regression model had the second highest accuracy(the average relative errors between results of the multiple linear regression model and the reference values were 7.70%and 10.51%,respectively),linear regression model couldn’t exclude the interference of chloride ions so that it had the lowest accuracy(the average relative errors between results of the linear regression model and the reference values were 11.16%and 12.28%,respectively)among the three models.The BP neural network model can effectively restrain the interference of chloride ions,and it has a high accuracy for the measurement of soil nitrate-N concentration,so that the BP neural network model can be used to measure soil nitrate-N concentration accurately. | Shangfeng Du Qi Pan Yun Xu Shushu Cao | 2020 | International Journal of Agricultural and Biological Engineering2020，13，1： | 0 |
| 11 | Contributions on the Special-Contracted Teacher Scheme and the Supply of Rural Teachers显示文摘In the past decade,the Special-Contracted Teacher Scheme has witnessed remarkable progress,but there are deficiencies including inadequate benefit guarantee for and mixed reviews on the quality of special-contracted teachers.In the context of developing the 14th Five-Year Plan(2021-2025)for education and accelerating the modernization of education,the current implementation of the Special-Contracted Teacher Scheme requires to be further examined and judged,to adjust the policy in time and present policy recommendations for the supply of rural teachers during the 14th Five-Year Plan period.Therefore,several scholars were invited to contribute to gain insight into this policy from multiple perspectives. | ZHENG Xinrong WANG Chenglong DU Ping HUANG Bin SU Shangfeng | 2022 | Frontiers of Education in China2022，17，3： | 0 |
| 12 | Pomegranate-like C_(60)@cobalt/nitrogen-codoped porous carbon for high-performance oxygen reduction reaction and lithium-sulfur battery显示文摘Porous carbon materials play essential roles in electrocatalysis and electrochemical energy storage.It is of significant importance to rationally design and tune their porous structure and active sites for achieving high electrochemical activity and stability.Herein,we develop a novel approach to tune the morphology of porous carbon materials(PCM)by embedding fullerene C_(60),achieving improved performance of oxygen reduction reaction(ORR)and lithium-sulfur(Li-S)battery.Owing to the strong interaction between C_(60)and imidazole moieties,pomegranate-like hybrid of Ow-embedded zeolitic imidazolate framework(ZIF-67)precursor is synthesized,which is further pyrolyzed to form C_(60)-embedded cobalt/nitrogen-codoped porous carbon materials(abbreviated as C_(60)@Co-N-PCM).Remarkably,the unique structure of C_(60)@Co-N-PCM offers excellent ORR electrocatalytic activity and stability in alkaline solutions,outperforming the commercial Pt/C(20 wt.%)catalyst.Besides,C_(60)@Co-N-PCM as a novel cathode delivers a high specific capacity of-900 mAh·g^(-1) at 0.2 C rate in Li-S batteries,which is superior to the pristine ZIF-67-derived PCM without embedding C_(60). | Jianhua Wu Shiyang Wang Zhanwu Lei Runnan Guan Muqing Chen Pingwu Du Yalin Lu Ruiguo Cao Shangfeng Yang | 2021 | Nano Research2021，14，8： | 0 |
| 13 | Cathode Design for Proton Exchange Membrane Fuel Cells in Automotive Applications显示文摘An advanced cathode design can improve the power performance and durability of proton exchange membrane fuel cells(PEMFCs),thus reducing the stack cost of fuel cell vehicles(FCVs).Recent studies on highly active Pt alloy catalysts,short-side-chain polyfluorinated sulfonic acid(PFSA)ionomer and 3D-ordered electrodes have imparted PEMFCs with boosted power density.To achieve the compacted stack target of 6 kW/L or above for the wide commercialization of FCVs,developing available cathodes for high-power-density operation is critical for the PEMFC.However,current developments still remain extremely challenging with respect to highly active and stable catalysts in practical operation,controlled distribution of ionomer on the catalyst surface for reducing catalyst poisoning and oxygen penetration losses and 3D(three-dimensional)-ordered catalyst layers with low Knudsen diffusion losses of oxygen molecular.This review paper focuses on impacts of the cathode development on automotive fuel cell systems and concludes design directions to provide the greatest benefit. | Haojie Wang Ruiqing Wang Sheng Sui Tai Sun Yichang Yan Shangfeng Du | 2021 | Automotive Innovation2021，4，2： | 0 |
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