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Facile grafting strategy synthesis of single-atom electrocatalyst with enhanced ORR performance

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Nano Research 2020年第6期13卷 1519-1526页

作者： rui Ding Yide Liu zhiyan rui Jia Li Jianguo Liu Zhigang Zou Jiangsu Key Laboratory for Nano Technology National Laboratory of Solid State MicrostructuresCollege of Engineering and Applied Sciencesand Collaborative Innovation Center of Advanced MicrostructuresNanjing University22 Hankou RoadNanjing210093China

Single-atom catalysts(SACs)have become one of the most considered research directions today,owing to their maximum atom utilization and simple structures,to investigate structure-activity *** the field of non-precious-metal electrocatalysts,atomically dispersed Fe-N4 active sites have been proven to possess the best oxygen reduction *** the majority of preparation methods remains complex and costly with unsatisfying ***,we have designed a surface-grafting strategy to directly synthesize an atomically dispersed Fe-NVC electrocatalyst applied to the oxygen reduction reaction(ORR).Through an esterification process in organic solution,metal-containing precursors were anchored on the surface of carbon *** covalent bonding effect could suppress the formation of aggregated particles during heat *** was further introduced as both a cost-effective nitrogen resource and blocking agent retarding the migration of metal *** optimized catalyst has proven to have abundant atomically dispersed Fe-N4 active sites with enhanced ORR catalytic performance in acid *** method has provided new feasible ideas for the synthesis of SACs.

关键词： esterification grafting single-atom catalysts oxygen reduction reaction fuel cell

Local tetragonal distortion of Pt alloy catalysts for enhanced oxygen reduction reaction efficiency

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Carbon Energy 2024年第7期6卷 41-52页

作者： Xiaoke Li Xiao Duan Kang Hua Yongkang Wu zhiyan rui rui Ding Aidong Li Chen Ouyang Jia Li Ting Li Jianguo Liu National Laboratory of Solid-State Microstructures College of Engineering and Applied Sciencesand Collaborative Innovation Center of Advanced MicrostructuresNanjing UniversityNanjingChina Long-Life Fuel Cell Key Laboratory in Sichuan Province Dongfang Electric(Chengdu)Hydrogen Fuel Cell Technology Co.Ltd.ChengduChina Institute of Energy Power Innovation North China Electric Power UniversityBeijingChina

Platinum-based alloy nanoparticles are the most attractive catalysts for the oxygen reduction reaction at present,but an in-depth understanding of the relationship between their short-range structural information and catalytic performance is still ***,we present a synthetic strategy that uses transition-metal oxide-assisted thermal ***/C catalysts with localized tetragonal distortion were obtained by controlling the thermal diffusion process of transition-metal *** localized structural distortion induced a significant strain effect on the nanoparticle surface,which further shortened the length of the Pt-Pt bond,improved the electronic state of the Pt surface,and enhanced the performance of the ***/C catalysts with special short-range structures achieved excellent mass activity(2.27 Amg_(Pt)^(-1))and specific activity(3.34 A cm^(-2)).In addition,the localized tetragonal distortion-induced surface compression of the Pt skin improved the stability of the *** mass activity decreased by only 13% after 30,000 *** catalyst activity and excellent durability have also been demonstrated in the proton exchange membrane fuel cell *** study provides valuable insights into the development of advanced Pt-based nanocatalysts and paves the way for reducing noble-metal loading and increasing the catalytic activity and catalyst stability.

关键词： electrocatalysts fuel cells local tetragonal distortion oxygen reduction

Boosting the optimization of membrane electrode assembly in proton exchange membrane fuel cells guided by explainable artificial intelligence

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Energy and AI 2021年第3期5卷 217-227页

作者： rui Ding Wenjuan Yin Gang Cheng Yawen Chen Jiankang Wang Ran Wang zhiyan rui Jia Li Jianguo Liu National Laboratory of Solid State Microstructures College of Engineering and Applied Sciencesand Collaborative Innovation Center of Advanced MicrostructuresNanjing University22 Hankou RoadNanjing 210093China

The utilization of environmentally friendly hydrogen energy requires proton exchange membrane fuel cell de-vices that offer high power output while remaining ***,the current optimization of their key component,i.e.,the membrane electrode assembly,is still based on intuition-guided,inefficient trial-and-error cycles due to its ***,we introduce an innovative,explainable artificial intelligence(AI)tool trained as a reliable assistant for a variable analysis and optimum-value *** the 8 algorithms considered,the surrogate model built with an artificial neural network achieves high replaceability in the experimentally validated multiphysics simulation(R^(2)=0.99845)and a much lower computational *** interpretation,partial dependence plots and the Shapley value method are applied to black-box models to intelligently simulate the impact of each parameter on *** methods show that a tradeoff existed in the catalyst layer *** AI-guided optimization suggestions regarding catalyst loading and the ion-omer content are fully supported by the experimental results,and the final product achieves 3.2 times the Pt utilization of commercial products with a time cost orders of magnitude smaller.

关键词： Machine learning Proton exchange membrane fuel cells Artificial intelligence Membrane electrode assembly Multiphysics simulation

Application of Machine Learning in Optimizing Proton Exchange Membrane Fuel Cells: A Review

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Energy and AI 2022年第3期9卷 88-120页

作者： rui Ding Shiqiao Zhang Yawen Chen zhiyan rui Kang Hua Yongkang Wu Xiaoke Li Xiao Duan Xuebin Wang Jia Li Jianguo Liu Institute of Energy Power Innovation North China Electric Power University2 Beinong RoadBeijing102206 P.R.China National Laboratory of Solid State Microstructures College of Engineering and Applied SciencesNanjing University22 Hankou RoadNanjing 210093P.R.China

Proton exchange membrane fuel cells (PEMFCs) as energy conversion devices for hydrogen energy are crucial for achieving an eco-friendly society, but their cost and performance are still not satisfactory for large-scale commercialization. Multiple physical and chemical coupling processes occur simultaneously at different scales in PEMFCs. Hence, previous studies only focused on the optimization of different components in such a complex system separately. In addition, the traditional trial-and-error method is very inefficient for achieving the performance breakthrough goal. Machine learning (ML) is a tool from the data science field. Trained based on datasets built from experimental records or theoretical simulation models, ML models can mine patterns that are difficult to draw intuitively. ML models can greatly reduce the cost of experimental attempts by predicting the target output. Serving as surrogate models, the ML approach could also greatly reduce the computational cost of numerical simulations such as first-principle or multiphysics simulations. Related reports are currently trending, and ML has been proven able to speed up tasks in this field, such as predicting active electrocatalysts, optimizing membrane electrode assembly (MEA), designing efficient flow channels, and providing stack operation strategies. Therefore, this paper reviews the applications and contributions of ML aiming at optimizing PEMFC performance regarding its potential to bring a research paradigm revolution. In addition to introducing and summarizing information for newcomers who are interested in this emerging cross-cutting field, we also look forward to and propose several directions for future development.

关键词： Proton Exchange Membrane Fuel Cell Machine Learning Artificial Intelligence Data Science

Urban traffic congestion in China:causes and countermeasures

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China Finance and Economic Review 2015年第2期4卷 47-59页

作者： Liu zhiyan Yue Xiaoyan Zhao rui Zhang Ying Institute for Urban and Environmental Studies Chinese Academy of Social SciencesBeijingChina

Based on the analysis of the current situation and causes of urban traffic congestion in China,this paper points out that the rapidly rising gap between demand and supply in transportation,inappropriate urban space arrangement,and inefficient traffic management are the underlying causes of traffic *** on the advanced experience of foreign countries,this paper also offers suggestions for countermeasures against urban traffic congestion in China.

关键词： urban traffic traffic congestion countermeasures

Laser tracking leader-follower automatic cooperative navigation system for UAVs

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International Journal of Agricultural and Biological Engineering 2022年第2期15卷 165-176页

作者： rui Ming zhiyan Zhou Zichen Lyu Xiwen Luo Le Zi Cancan Song Yu Zang Wei Liu rui Jiang College of Engineering South China Agricultural University/Guangdong Laboratory for Lingnan Modern AgricultureGuangzhou 510642China College of Computer and Control Engineering Minjiang University/Fujian Provincial Key Laboratory of Information Processing and Intelligent ControlFuzhou 350108China Guangdong Provincial Key Laboratory for Agricultural Artificial Intelligence(GDKL-AAI) Guangzhou 510642China Guangdong Engineering Research Center for Agricultural Aviation Application(ERCAAA) Guangzhou 510642China Key Laboratory of Key Technology on Agricultural Machine and Equipment South China Agricultural UniversityMinistry of Education of P.R.ChinaGuangzhou 510642China

Currently,small payload and short endurance are the main problems of a single UAV in agricultural applications,especially in large-scale *** is one of the important methods to solve the above problems of UAVs by improving operation efficiency through multi-UAV cooperative *** study proposed a laser tracking leader-follower automatic cooperative navigation system for *** leader in the cluster fires a laser beam to irradiate the follower,and the follower performs a visual tracking flight according to the light spot at the relative position of the laser tracking *** on the existing kernel correlation filter(KCF)tracking algorithm,an improved KCF real-time spot tracking method was *** with the traditional KCF tracking algorithm,the recognition and tracking rate of the optimized algorithm was increased from 70%to 95%in indoor environment,and was increased from 20%to 90%in outdoor *** navigation control method was studied from two aspects:the distance coordinate transformation model based on micro-gyroscope and navigation control *** error of spot position was reduced from the maximum(3.12,−3.66)cm to(0.14,0.12)cm by correcting the deviation distance of the spot at different angles through a coordinate correction *** image coordinate conversion model was established for a complementary metal-oxide-semiconductor(CMOS)camera and laser receiving device at different mounting *** laser receiving device was divided into four regions,S0-S3,and the speed of the four regions is calculated using an uncontrollable discrete Kalman *** outdoor flight experiments of two UAVs were carried out outdoors using this *** experiment results show that the average flight error of the two UAVs on the X-axis is 5.2 cm,and the coefficient of variation is *** average flight error on the Z-axis is 7.3 cm,and the coefficient of variation is *** study demonstrated the possibility

关键词： two-UAVs cooperative visual navigation laser tracking

Test and evaluation method for endurance performance of electric multi-rotors spraying drones

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International Journal of Agricultural and Biological Engineering 2019年第2期12卷 18-28页

作者： rui Ming zhiyan Zhou Xiwen Luo Yubin Lan Xingang He Cancan Song rui Jiang Luhong Tian Shahbaz Gul Hassan College of Engineering South China Agricultural University/Guangdong Engineering Research Center for Agricultural Aviation Application(ERCAAA)Guangzhou 510642China National Joint Research Center for Precision Agricultural Aviation Application Technology Guangzhou 510642China Key Laboratory of Key Technology on Agricultural Machine and Equipment(South China Agricultural University) Ministry of EducationGuangzhou 510642China

The endurance performance(EP)of electric multi-rotors spraying drones(EMSDs)is a key technical indicator that ensures the completion of tasks and improves their *** improve the EP of current EMSD,a test system was designed to determine the EP based on the EMSD test platform,and the performance evaluation method was ***,a test model was established to determine the equivalent energy dissipation using the performance-testing platform of the ***,a multisensory test system was *** attitude sensor,high-power DC power supply,infrared thermal imager,and serial port server were *** mounting fixture was designed to meet the universal mounting requirements of *** addition,the software LabVIEW was employed to program the code for the controller and the host computer,where functions such as data collection,data processing,communication,and graphical user interface(GUI),were performed reliably in real ***,the test method was explored by considering factors such as the power consumption,thermal efficiency ratio,and unit load power consumption *** particular,a comprehensive index method and expert consultation weight method were used to evaluate the EP of the EMSD with multiple ***,a systematic real-machine test was carried out on the three types of drones that are currently widely used in the *** results verified the effectiveness and feasibility of the proposed method,which was employed to test and evaluate the EP based on the EMSD performance testing *** the same time,it can provide a reference for the development of the EMSD.

关键词： agricultural aviation multi-rotors spraying drone endurance performance assessment method virtual instrument

Benzene alkylation with methanol over phosphate modified hierarchical porous ZSM-5 with tailored acidity

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Chinese Journal of Chemical Engineering 2017年第9期25卷 1187-1194页

作者： Jinghui Lyu Hualei Hu Carolyn Tait Jiayao rui Caiyi Lou Qingtao Wang Wenwen Han Qunfeng Zhang zhiyan Pan Xiaonian Li Industrial Catalysis Institute of Zhejiang University of Technology State Key Laboratory Breeding Base of Green Chemistry Synthesis Technology Department of Environmental Engineering Zhejiang University of Technology Department of Chemical and Biochemical Engineering University of Western Ontario

The acidity and acid distribution of hierarchical porous ZSM-5 were tailored via phosphate modification. The catalytic results showed that both benzene conversion and selectivity of toluene and xylene increased with the presence of appropriate amount of phosphorus. Meanwhile, side reactions such as methanol to olefins related with the formation of by-product ethylbenzene formation and isomerization of xylene to meta-xylene were suppressed efficiently. The acid strength and sites amount of Br?nsted acid of the catalyst were crucial for improving benzene conversion and yield of xylene, whereas passivation of external surface acid sites played an important role in breaking thermodynamic equilibrium distribution of xylene isomers.

关键词： Hierarchical porous ZSM-5 Phosphate modification Benzene alkylation with methanol Xylene

Optimization of aviation adjuvants based on wettability analysis for insecticide application on maize using UAV

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International Journal of Agricultural and Biological Engineering 2021年第5期14卷 11-18页

作者： Yu Zang zhiyan Zhou Ying Zang Xiwen Luo Juan Liao rui Ming Cancan Song Le Zi rui Jiang Hanxiang Xiao College of Engineering South China Agricultural University/Guangdong Engineering Research Center for Agricultural Aviation Application(ERCAAA)Guangzhou 510642China National Center for International Collaboration Research on Precision Agricultural Aviation Pesticides Spraying Technology(NPAAC) Guangzhou 510642China Key Laboratory of Key Technology on Agricultural Machine and Equipment(South China Agricultural University) Ministry of EducationGuangzhou 510642China Institute of Plant Protection Guangdong Academy of Agricultural SciencesGuangzhou 510640China

Adjuvants can increase the control efficacy of diseases and insect pests by changing the physico-chemical properties of *** of the aviation spray adjuvants are versions of ground *** insecticide sprays with unmanned aerial vehicles(UAV),have problems such as relatively low droplet deposition rate and poor ***,wettability research and optimization tests for aviation spray adjuvants are *** present study screened 12 spray adjuvants using physico-chemical property *** adjuvants were applied to improve the droplet deposition and control efficacy in maize borers controlling by *** selected spray adjuvants were Po2(a hyperbranched polymer adjuvant)and VO3(a vegetable oil adjuvant).Results showed that,(1)When Po2 was added in water-dispersible granules(WGs)at volume rate of 12 L/hm2,the dynamic surface tension(DST)of WGs was decreased by 37.41%,and the maize leaves were covered by droplets 100%,the droplet deposition was increased by 104%and maize borer control was increased by 46%;(2)VO3 decreased the surface tension of ultra-low-volume(ULV)formulation by 12.02%and the maize leaves were covered by droplets 100%.The effect of VO3 on improving the droplet deposition and control efficacy at 12 L/hm2 with ULV was not ***,the addition of aviation spray adjuvant to improve the wettability of WGs significantly improved the droplet deposition and control efficacy but it had no significant effect on the ULV formulation.

关键词： unmanned aerial vehicles spray adjuvants wettability maize insecticide application