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Chinese Chemical Letters 2024年第2期35卷 507-511页

作者： yunlei zhang Yiran Liu Wen Guan Mengxue Cao Yao Chen Pengwei Huo Institute of Green Chemistry and Chemical Technology School of Chemistry and Chemical EngineeringJiangsu UniversityZhenjiang 212013China School of the Environment and Safety Jiangsu UniversityZhenjiang 212013China

The unique properties of metal oxide surfaces,crystal surfaces and defects play vital roles in biomass upgrading reactions.In this work,hierarchical porous bowl-shaped ZrO_(2)(HB-ZrO_(2))with mixed crystal phase was designed and employed as the support for loading AuPd bimetal with different proportions to synthesize AuPd/HB-ZrO_(2) catalysts.The effects of surface chemistry,oxygen defects,bimetal interaction and metal-support interaction of AuPd/HB-ZrO_(2) on catalytic performance for the selective oxidation of 5-hydroxymethylfurfural(HMF)to 2,5-furandicarboxylic acid(FDCA)were systematically investigated.The Au 2 Pd1/HB-ZrO_(2) catalyst afforded a satisfactory FDCA yield of 99.9%from HMF oxidation using O_(2) as the oxidant in water,accompanied with an excellent FDCA productivity at 97.6 mmol g^(−1) h^(−1).This work offers fresh insights into rationally designing efficient catalysts with oxygen-rich defects for the catalytic upgrading of biomass platform chemicals.

关键词： 5-Hydroxymethylfurfural oxidation 2,5-Furandicarboxylic acid Oxygen-rich defect ZrO_(2) AuPd bimetal Bowl-shaped structure

Interfacial mechanism of hydrogel with controllable thickness for stable drag reduction

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Friction 2024年第2期12卷 231-244页

作者： Xiaotong WU Ying LIU yunlei zhang Xingwei WANG Wufang YANG Lang JIANG Shuanhong MA Meirong CAI Feng ZHOU School of Advanced Manufacturing Nanchang UniversityNanchang 330031China State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical PhysicsChinese Academy of SciencesLanzhou 730000China Yantai Zhongke Research Institute of Advanced Materials and Green Chemical Engineering Shandong Laboratory of Yantai Advanced Materials and Green ManufactureYantai 264006China

Surface wettability plays a significant role in reducing solid–liquid frictional resistance,especially the superhydrophilic/hydrophilic interface because of its excellent thermodynamic stability.In this work,poly(acrylic acid)-poly(acrylamide)(PAA–PAM)hydrogel coatings with different thicknesses were prepared in situ by polydopamine(PDA)-UV assisted surface catalytically initiated radical polymerization.Fluid drag reduction performance of hydrogel surface was measured using a rotational rheometer by the plate–plate mode.The experimental results showed that the average drag reduction of hydrogel surface could reach up to about 56%in Couette flow,which was mainly due to the interfacial polymerization phenomenon that enhanced the ability of hydration layer to delay the momentum dissipation between fluid layers and the diffusion behavior of surface.The proposed drag reduction mechanism of hydrogel surface was expected to shed new light on hydrogel–liquid interface interaction and provide a new way for the development of steady-state drag reduction methods.

关键词： steady state drag reduction hydrogel interface hydration hydrophilic

Deep Learning Network for Energy Storage Scheduling in Power Market Environment Short-Term Load Forecasting Model

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Energy Engineering 2022年第5期119卷 1829-1841页

作者： yunlei zhang RuifengCao Danhuang Dong Sha Peng RuoyunDu Xiaomin Xu State Grid Zhejiang Electric Power Co. Ltd.Hangzhou310007China Strategy and Development Research Center Economic and Technical Research InstituteState Grid Zhejiang Electric Power Co.Hangzhou310000China Beijing Key Laboratory of New Energy Power and Low Carbon Development Research North China University of Electric PowerBeijing102206China

In the electricity market,fluctuations in real-time prices are unstable,and changes in short-term load are determined by many factors.By studying the timing of charging and discharging,as well as the economic benefits of energy storage in the process of participating in the power market,this paper takes energy storage scheduling as merely one factor affecting short-term power load,which affects short-term load time series along with time-of-use price,holidays,and temperature.A deep learning network is used to predict the short-term load,a convolutional neural network(CNN)is used to extract the features,and a long short-term memory(LSTM)network is used to learn the temporal characteristics of the load value,which can effectively improve prediction accuracy.Taking the load data of a certain region as an example,the CNN-LSTM prediction model is compared with the single LSTM prediction model.The experimental results show that the CNN-LSTM deep learning network with the participation of energy storage in dispatching can have high prediction accuracy for short-term power load forecasting.

关键词： Energy storage scheduling short-term load forecasting deep learning network convolutional neural network CNN long and short term memory network LTSM

Facile synthesis of metal-organic frameworks embedded in interconnected macroporous polymer as a dual acid-base bifunctional catalyst for efficient conversion of cellulose to 5-hydroxymethylfurfural

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Chinese Journal of Chemical Engineering 2022年第4期35卷 169-181页

作者： Yanan Wei yunlei zhang Bing Li Wen Guan Changhao Yan Xin Li Yongsheng Yan Institute of Green Chemistry and Chemical Technology School of Chemistry and Chemical EngineeringJiangsu UniversityZhenjiang 212000China Research Center of Fluid Machinery Engineering and Technology Jiangsu UniversityZhenjiang 212000China

5-Hydroxymethylfurfural(5-HMF),as a key platform compound for the conversion of biomass to various biomass-derived chemicals and biofuels,has been attracted extensive attention.In this research,using Pickering high internal phase emulsions(Pickering HIPEs)as template and functional metal-organic frameworks(MOFs,UiO-66-SO;H and UiO-66-NH;)/Tween 85 as co-stabilizers to synthesis the dual acid-base bifunctional macroporous polymer catalyst by one-pot process,which has excellent catalytic activity in the cascade reaction of converting cellulose to 5-HMF.The effects of the emulsion parameters including the amount of surfactant(ranging from 0.5%to 2.0%(mass)),the internal phase volume fraction(ranging from 75%to 90%)and the acid/base Pickering particles mass ratio(ranging from 0:6 to 6:0)on the morphology and catalytic performance of solid catalyst were systematically researched.The results of catalytic experiments suggested that the connected large pore size of catalyst can effectively improve the cellulose conversion,and the synergistic effect of acid and base active sites can effectively improve the 5-HMF yield.The highest 5-HMF yield,about 40.5%,can be obtained by using polymer/MOFs composite as catalyst(Poly-P12,the pore size of(53.3±11.3)μm,the acid density of 1.99 mmol·g^(-1)and the base density of 1.13 mol·g^(-1))under the optimal reaction conditions(130℃,3 h).Herein,the polymer/MOFs composite with open-cell structure was prepared by the Pickering HIPEs templating method,which provided a favorable experimental basis and theoretical reference for achieving efficient production of high addedvalue product from abundant biomass.

关键词： Catalyst Biomass Hydrolysis 5-Hydroxymethylfurfural Pickering high internal phase emulsions templated polymer Acid-base bifunctional site

Recent progress of bioinspired cartilage hydrogel lubrication materials

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Biosurface and Biotribology 2022年第3期8卷 225-243页

作者： Xiaoduo Zhao Weiyi Zhao yunlei zhang Xiaoqing zhang Zhengfeng Ma Rui Wang Qiangbing Wei Shuanhong Ma Feng Zhou State Key Laboratory of Solid Lubrication Lanzhou Institute of Chemical PhysicsChinese Academy of SciencesLanzhouChina Yantai Zhongke Research Institute of Advanced Materials and Green Chemical Engineering YantaiChina Baiyin Zhongke Innovation Research Institute of Green Materials BaiyinChina College of Chemistry and Chemical Engineering Northwest Normal UniversityLanzhouChina

Hydrogels have been considered as potential candidates for cartilage replacement due to their high‐water content,extreme network hydration,excellent biocompatibility and tunable mechanical properties.Currently,the development of high‐performance cartilageinspired hydrogel lubrication materials has become a hot topic in the field of biomedical materials.This review focusses on the recent development of cartilage‐inspired highstrength hydrogels from the viewpoints of bionic surface/interface and biotribology.Specifically,the composition structure and extraordinary lubrication mechanism of the natural articular cartilage are overviewed first.Subsequently,some of the novel biomimetic design strategies for preparing high strength cartilage hydrogels with various network structures are summarised in detail,while systematic evaluation of lubrication properties and mechanisms are discussed.Furthermore,new surface modification means for improving the lubrication feature of high strength cartilage hydrogel materials are presented.In addition,in order to demonstrate the application potential of cartilage hydrogels in clinical,several bonding methods to decorate hydrogels onto surfaces of natural bone tissues or artificial joint materials are introduced.Finally,current challenges and future research directions are discussed for cartilage‐inspired hydrogel lubrication materials.

关键词： materials. properties. hydrogel

Local Community Detection Based on Network Motifs

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Tsinghua Science and Technology 2019年第6期24卷 716-727页

作者： yunlei zhang Bin Wu Yu Liu Jinna Lv Beijing Key Laboratory of Intelligence Telecommunications Software and Multimedia School of Computer ScienceBeijing University of Posts and TelecommunicationsBeijing 100876China

Local community detection aims to find a cluster of nodes by exploring a small region of the network.Local community detection methods are faster than traditional global community detection methods because their runtime does not depend on the size of the entire network. However, most existing methods do not take the higher-order connectivity patterns crucial to the network into consideration. In this paper, we develop a new Local Community Detection method based on network Motif(LCD-Motif) which incorporates the higher-order network information. LCD-Motif adopts the local expansion of a seed set to identify the local community with minimal motif conductance, representing a generalization of the conductance metric for network motifs. In contrast to PageRanklike diffusion methods, LCD-Motif finds the community by seeking a sparse vector in the span of the local spectra,such that the seeds are in its support vector. We evaluate our approach using real-world datasets across various domains and synthetic networks. The experimental results show that LCD-Motif can achieve a higher performance than state-of-the-art methods.

关键词： comm unity detection n etwork motifs local spectral clustering seed set expansi on ran dom walk

Evaluating the eff ect of input variables on quantifying the spatial distribution of croaker Johnius belangerii in Haizhou Bay,China

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Journal of Oceanology and Limnology 2021年第4期39卷 1570-1583页

作者： yunlei zhang Ying XUE Binduo XU Chongliang zhang Xiaoxiao ZAN College of Fisheries Ocean University of ChinaQingdao 266003China Marine College Shandong UniversityWeihai 264209China Field Observation and Research Station of Haizhou Bay Fishery Ecosystem Ministry of EducationQingdao 266003China

A habitat model has been widely used to manage marine species and analyze relationship between species distribution and environmental factors.The predictive skill in habitat model depends on whether the models include appropriate explanatory variables.Due to limited habitat range,low density,and low detection rate,the number of zero catches could be very large even in favorable habitats.Excessive zeroes will increase the bias and uncertainty in estimation of habitat.Therefore,appropriate explanatory variables need to be chosen first to prevent underestimate or overestimate species abundance in habitat models.In addition,biotic variables such as prey data and spatial autocovariate(SAC)of target species are often ignored in species distribution models.Therefore,we evaluated the eff ects of input variables on the performance of generalized additive models(GAMs)under excessive zero catch(>70%).Five types of input variables were selected,i.e.,(1)abiotic variables,(2)abiotic and biotic variables,(3)abiotic variables and SAC,(4)abiotic,biotic variables and SAC,and(5)principal component analysis(PCA)based abiotic and biotic variables and SAC.Belanger’s croaker Johnius belangerii is one of the dominant demersal fish in Haizhou Bay,with a large number of zero catches,thus was used for the case study.Results show that the PCA-based GAM incorporated with abiotic and biotic variables and SAC was the most appropriate model to quantify the spatial distribution of the croaker.Biotic variables and SAC were important and should be incorporated as one of the drivers to predict species distribution.Our study suggests that the process of input variables is critical to habitat modelling,which could improve the performance of habitat models and enhance our understanding of the habitat suitability of target species.

关键词： generalized additive model principal component analysis biotic variables spatial autocovariate

Colocated MIMO radar waveform design for angular statistical resolution limit in the context of hypothesis testing

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Science China(Information Sciences) 2019年第4期62卷 47-49页

作者： yunlei zhang Li WANG Jinbo WANG Jun TANG Department of Electronic Engineering Tsinghua University Institute of Electronic Engineering Navy University of Engineering

Dear editor,In this study, we designed collocated multipleinput multiple-out(MIMO) radar waveforms to maximize the resolution performance of angular statistical resolution limit(SRL). The SRL is an emerging definition... 详细信息

关键词： Colocated MIMO radar waveform design for angular statistical resolution limit in the context of hypothesis testing

A Novel Hybrid Seven-Level Converter for Permanent Magnet Synchronous Motor Driving System Based on Model Predictive Control

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CES Transactions on Electrical Machines and Systems 2019年第4期3卷 389-396页

作者： Yuansheng Hu Cungang Hu Pinjia zhang yunlei zhang Electrical Engineering and Automation Anhui UniversityHefeiCO 230000 China Department of Electrical Engineering Tsinghua UniversityBeijingCO 100000 China

A novel hybrid three-phase seven-level converter is proposed in the paper.Each phase consists of a four-level bridge and a two-level H bridge,which contains ten switching devices and a floating capacitor.The circuit structure is introduced and working principle of the converter containing 14 commutation paths is analyzed,which is easy to control the floating capacitor voltage.In order to drive permanent magnet synchronous motor(PMSM)with the proposed converter,model predictive control(MPC)strategy is adopted.The control objectives such as controlling the currents of PMSM and capacitor voltages balancing are included in a cost function with two weight factors,which can control the currents of PMSM and balance the capacitor voltages simultaneously.To validate the proposed control scheme,simulations in two cases are carried out by using Matlab/Simulink software.Finally,the feasibility and efficiency in two cases are verified with the experimental test bench based on RT_LAB.

关键词： Capacitor voltages MPC PMSM Seven-Level converter

Optimization of environmental variables in habitat suitability modeling for mantis shrimp Oratosquilla oratoria in the Haizhou Bay and adjacent waters

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Acta Oceanologica Sinica 2020年第6期39卷 36-47页

作者： yunlei zhang Huaming Yu Haiqing Yu Binduo Xu Chongliang zhang Yiping Ren Ying Xue Lili Xu College of Fisheries Ocean University of ChinaQingdao 266003China Laboratory for Marine Fisheries Science and Food Production Processes Pilot National Laboratory for Marine Science and Technology(Qingdao)Qingdao 266237China College of Oceanic and Atmospheric Sciences Ocean University of ChinaQingdao 266100China Institute of Oceanology Chinese Academy of SciencesQingdao 266071China

Habitat suitability index(HSI)models have been widely used to analyze the relationship between species abundance and environmental factors,and ultimately inform management of marine species.The response of species abundance to each environmental variable is different and habitat requirements may change over life history stages and seasons.Therefore,it is necessary to determine the optimal combination of environmental variables in HSI modelling.In this study,generalized additive models(GAMs)were used to determine which environmental variables to be included in the HSI models.Significant variables were retained and weighted in the HSI model according to their relative contribution(%)to the total deviation explained by the boosted regression tree(BRT).The HSI models were applied to evaluate the habitat suitability of mantis shrimp Oratosquilla oratoria in the Haizhou Bay and adjacent areas in 2011 and 2013–2017.Ontogenetic and seasonal variations in HSI models of mantis shrimp were also examined.Among the four models(non-optimized model,BRT informed HSI model,GAM informed HSI model,and both BRT and GAM informed HSI model),both BRT and GAM informed HSI model showed the best performance.Four environmental variables(bottom temperature,depth,distance offshore and sediment type)were selected in the HSI models for four groups(spring-juvenile,spring-adult,falljuvenile and fall-adult)of mantis shrimp.The distribution of habitat suitability showed similar patterns between juveniles and adults,but obvious seasonal variations were observed.This study suggests that the process of optimizing environmental variables in HSI models improves the performance of HSI models,and this optimization strategy could be extended to other marine organisms to enhance the understanding of the habitat suitability of target species.

关键词： habitat suitability index mantis shrimp generalized additive model boosted regression tree Haizhou Bay