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Unlock the full potential of carbon cloth-based scaffolds towards magnesium metal storage via regulation on magnesiophilicity and surface geometric structure

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Journal of Energy Chemistry 2024年第3期90卷 423-434,I0010页

作者： Jing Liu Min Wang zhonghua zhang Jinlei zhang Yitao He Zhenfang Zhou Guicun Li College of Materials Science and Engineering Qingdao University of Science and TechnologyQingdao 266042ShandongChina Department of Pharmacy Jining Medical UniversityRizhao 276826ShandongChina Department of Energy and Power Engineering School of Energy and EnvironmentAnhui University of TechnologyMa’anshan 243000AnhuiChina

The development of rechargeable magnesium(Mg) batteries is of practical significance to upgrade the electric energy storage devices due to exceptional capacity and abundant resources of Mg-metal ***,the reversible Mg electrochemistry suffers from unsatisfied rate capability and lifespan,mainly caused by non-uniform distribution of *** this work,a fresh design concept of threedimensional carbon cloths scaffolds is proposed to overcome the uncontrollable Mg growth via homogenizing electric field and improving magnesiophilicity.A microscopic smooth and nitrogen-containing defective carbonaceous layer is constructed through a facile pyrolysis of ZIF8 on carbon *** revealed by finite element simulation and DFT calculation results,the smooth surface endows with uniform electric field distribution and simultaneously the nitrogen-doping species enable good magnesiophilicity of *** fine and uniform Mg nucleus as well as the inner electrodeposit behavior are also *** a result,an exceptional cycle life of 500 cycles at 4.0 mA cm^(-2) and 4.0 mA h cm^(-2) is firstly realized to our best ***,the functional scaffolds can be cycled for over 2200 h at 2.0 mA cm^(-2) under a normalized capacity of 5.0 mA h cm^(-2),far exceeding previous *** work offers an effective approach to enable the full potential of carbon cloths-based scaffolds towards metal storage for next generation battery applications.

关键词： Magnesium metal anodes Electrodeposition Heterogeneous nucleation

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Identification of clade-wide putative cis-regulatory elements from conserved non-coding sequences in Cucurbitaceae genomes

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Horticulture Research 2023年第4期10卷 238-248页

作者： Hongtao Song Qi Wang zhonghua zhang Kui Lin Erli Pang MOE Key Laboratory for Biodiversity Science and Ecological Engineering and Beijing Key Laboratory of Gene Resource and Molecular Development College of Life SciencesBeijing Normal UniversityBeijing 100875China College of Horticulture Qingdao Agricultural UniversityQingdao 266109China

Cis-regulatory elements regulate gene expression and play an essential role in the development and physiology of *** conserved non-coding sequences(CNSs)function as cis-regulatory *** control the development of various ***-ever,predicting clade-wide cis-regulatory elements across several closely related species remains *** on the relationship between CNSs and cis-regulatory elements,we present a computational approach that predicts the clade-wide putative cis-regulatory elements in 12 Cucurbitaceae *** 12-way whole-genome alignment,we first obtained 632112 CNSs in ***,we identified 16552 Cucurbitaceae-wide cis-regulatory elements based on collinearity among all 12 Cucurbitaceae ***,we predicted 3271 potential regulatory pairs in the cucumber genome,of which 98 were verified using integrative RNA sequencing and ChIP sequencing datasets from samples collected during various fruit development *** CNSs,Cucurbitaceae-wide cis-regulatory elements,and their target genes are accessible at http://***/cisRCNEs_cucurbit/.These elements are valuable resources for functionally annotating CNSs and their regulatory roles in Cucurbitaceae genomes.

关键词： elements conserved sequences

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Microfluidic interface boosted synthesis of covalent organic polymer capsule

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Green Chemical Engineering 2020年第1期1卷 63-69页

作者： Yun Zhao Min zhang Xin Wen zhonghua Xiang State Key Laboratory of Organic-Inorganic Composites Beijing University of Chemical TechnologyBeijing100029PR China

Microcapsules have been widely used in dr.g carriers,nano/microreactors,artificial organelles for their empty space and functional *** synthesized from spherical liquid-liquid interface show ultrathin shell and large ***,spherical liquid-liquid interfaces generated by stirring or sonicating are difficult in controlling the dr.plet size and preventing their coalescence,which results in inhomogeneous ***,we demonstrate a microfluidic interfacial synthetic method to produce microcapsules using the hot covalent organic polymers(COPs)coupled with Schiff-base reaction.A very high throughput of uniform and individual microdr.plets about~1400 min^(-1)was generated under high flow rate for COP capsules *** catalyst promoted amine and aldehyde condensation that reacted less than 1 s assured the polymerization occurred at the liquid-liquid interface regardless of the diffusion intensification in microfluidic *** capsules with shell thickness around 50 nm were flexible enough to response to slight interior capillary force and exterior filtration force to form origami structure and sealed flat membrane,*** of the interfacial synthesized capsule expressed large capacity by encapsulating 1.41×10^(-2)μg SiO_(2)nanoparticles as theoretically ***,these properties make the COP capsules promising in,but not limited to,fast dr.g delivery and microreactors.

关键词： Covalent organic polymers Microcapsules Interfacial synthesis Microfluidic system High throughput

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A ferric citrate derived Fe-N-C electrocatalyst with stepwise pyrolysis for highly efficient oxygen reduction reaction

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Chinese Chemical Letters 2022年第1期33卷 362-367页

作者： Min zhang Bolong Yang Ting Yang Yahui Yang zhonghua Xiang State Key Laboratory of Organic-Inorganic Composites Beijing University of Chemical TechnologyBeijing 100029China College of Chemistry and Chemical Engineering Hunan Normal UniversityChangsha 410081China

Unremitting and intensive researches about efficient non-precious metal electrocatalysts are necessary for large-scale commercial applications of fuel cells,while iron and nitrogen co-doped carbon(Fe-N-C)materials has become one of the most promising electrocatalysts to replace Pt-based noble metal ***,the traditional Fe-doped ZIF with rhomb dodecahedr.n morphology limits the exposure of active sites and the utilization of atoms,even affecting the performance of the ***,a Fe/N co-doped catalyst with a flower-like morphology was prepared using ferric citrate source along with secondary NH_(3)heat *** optimal catalyst(termed as 4Fe_(citrate)-N-C-3)showed distinguished oxygen reduction reaction(ORR)activity with a half-wave potential of 0.8 and 0.9 V(***)in acid and alkaline media,*** addition,4Fe_(citrate)-N-C-3 maintained more than 80%of original activity even after 50,000 s which is superior to the benchmark Pt/*** strategy of controlling morphology and composition is meaningful for the optimization of non-precious metal electrocatalysts for ORR in fuel cells or metal-air batteries.

关键词： Oxygen reduction reaction Non-precious metal electrocatalysts Fuel cell ZIF-8 NH3 activation

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Integration of Communication and Computing in Blockchain-Enabled Multi-Access Edge Computing Systems

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China Communications 2021年第12期18卷 297-314页

作者： zhonghua zhang Jie Feng Qingqi Pei Le Wang Lichuan Ma Shenzhen HTI Group Co. Ltd518040Shen ZhenChina State Key Laboratory of ISN School of Telecomm.EngineeringXidian UniversityXi’an710071ShannxiChina Shaanxi Key Laboratory of Information Communications Xian University of Posts and TelecommunicationsXi’an 710121China School of Computer Science University of GuelphGuelphOntarioN1G2W1Cananda

Blockchain and multi-access edge com-puting(MEC)are two emerging promising tech-nologies that have received extensive attention from academia and *** a brand-new information storage,dissemination and management mechanism,blockchain technology achieves the reliable transmis-sion of data and *** as a new computing paradigm,multi-access edge computing enables the high-frequency interaction and real-time transmission of *** integration of communication and com-puting in blockchain-enabled multi-access edge com-puting networks has been studied without a systemat-ical *** the survey,we focus on the integration of communication and computing,explores the mu-tual empowerment and mutual promotion effects be-tween the blockchain and MEC,and introduces the resource integration architecture of blockchain and multi-access edge ***,the paper sum-marizes the applications of the resource integration ar-chitecture,resource management,data sharing,incen-tive mechanism,and consensus mechanism,and ana-lyzes corresponding applications in real-world ***,future challenges and potentially promis-ing research directions are discussed and present in de-tail.

关键词： blockchain multi-access edge computing mutual empowerment network architecture

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Effect of longitudinal lift distribution on sonic boom of a canard-wing-stabilator-body configuration

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Chinese Journal of Aeronautics 2023年第6期36卷 92-108页

作者： Liwen zhang zhonghua HAN Jianling QIAO Wenping SONG Yulin DING Xuehe WANG Institute of Aerodynamic and Multidisciplinary Design Optimization School of AeronauticsNorthwestern Polytechnical UniversityXi'an 710072China National Key Laboratory of Science and Technology on Aerodynamic Design and Research School of AeronauticsNorthwestern Polytechnical UniversityXi'an 710072China Research Center for Environment-friendly Supersonic Civil Transport Northwestern Polytechnical UniversityXi'an 710072China

After the last flight of the Concorde in 2003,sonic boom has been one of the obstacles to the return of a supersonic transport aircraft to *** reduce the sonic boom intensity to an acceptable level,it is of great significance to study the effect of lift distribution on far-field sonic boom,since lift is one of the most important contributors to an intense sonic *** studies on the longitudinal lift distribution used low-fidelity methods,such as Whitham theory,and in turn,only preliminary conclusions were obtained,such as that extending the lift distribution can reduce sonic *** paper uses a newly developed high-fidelity prediction method to quantitatively study the effect of longitudinal lift distribution on the sonic boom of a Canard-Wing-Stabilator-Body(CWSB)*** high-fidelity prediction method combines near-feld CFD simulation with far-field propagation by solving the augmented Burgers equation.A multipole analysis method is employed for the extraction of near-field waveform in order to reduce computational *** configurations with the same total lift but different distributions are studied,and the quantitative relationship between the longitudinal lift distribution and far-field sonic boom intensity is *** is observed that a small lift generated by the stabilator can prevent aft-stabilator and aft-fuselage shocks from merging,while the balanced lift generated by the canard and wing can effectively keep the corresponding shocks further apart,which is beneficial for reducing both the on-track and off-track sonic *** turn,the acoustic level perceived at the ground can be reduced by 5.9 PLdB on-track and 5.4 PLdB off-track,on average.

关键词： Computational fluid dynamics Longitudinal lift distribution Sonic boom Sonic boom reduction Supersonic transport

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Robust Damage Detection and Localization Under Complex Environmental Conditions Using Singular Value Decomposition-based Feature Extraction and One-dimensional Convolutional Neural Network

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Chinese Journal of Mechanical Engineering 2023年第3期36卷 252-261页

作者： Shengkang Zong Sheng Wang Zhitao Luo Xinkai Wu Hui zhang zhonghua Ni Jiangsu Key Laboratory for Design and Manufacture of Micro-Nano Biomedical Instruments School of Mechanical EngineeringSoutheast UniversityNanjing 211189China

Ultrasonic guided wave is an attractive monitoring technique for large-scale structures but is vulnerable to changes in environmental and operational conditions(EOC),which are inevitable in the normal inspection of civil and mechanical *** paper thus presents a robust guided wave-based method for damage detection and localization under complex environmental conditions by singular value decomposition-based feature extraction and one-dimensional convolutional neural network(1D-CNN).After singular value decomposition-based feature extraction processing,a temporal robust damage index(TRDI)is extracted,and the effect of EOCs is well ***,even for the signals with a very large temperature-varying range and low signal-to-noise ratios(SNRs),the final damage detection and localization accuracy retain perfect 100%.Verifications are conducted on two different experimental *** first dataset consists of guided wave signals collected from a thin aluminum plate with artificial noises,and the second is a publicly available experimental dataset of guided wave signals acquired on a composite plate with a temperature ranging from 20℃to 60℃.It is demonstrated that the proposed method can detect and localize the damage accurately and rapidly,showing great potential for application in complex and unknown EOC.

关键词： Ultrasonic guided waves Singular value decomposition Damage detection and localization Environmental and operational conditions One-dimensional convolutional neural network

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Semantic segmentation of track image based on deep neural network

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The Journal of China Universities of Posts and Telecommunications 2020年第5期27卷 23-33页

作者： Wang Zhaoying Zhou Junhua Liao zhonghua Zhai Xiang zhang Lianping School of Electronic Engineering Beijing University of Posts and TelecommunicationsBeijing 100876China Beijing Complex Product Advanced Manufacturing Kngineering Research Center Beijing Simulation CenterBeijing 100854China State Key Laboratory of Intelligent Manufacturing System Technology Beijing Institute of Electronic System EngineeringBeijing 100854China Alibaba Cloud Computing Beijing 100020China

In this paper,deep learning technology was utilited to solve the railway track recognition in intrusion detection *** railway track recognition can be viewed as semantic segmentation task which extends image processing to pixel level *** encoder-decoder architecture DeepLabv3+model was applied in this work due to its good performance in semantic segmentation *** images of the railway track collected from the video surveillance of the train cab were used as experiment dataset in this work,the following improvements were made to the *** first aspect deals with over-fitting problem due to the limited amount of training *** augmentation and transfer learning are applied consequently to rich the diversity of data and enhance model robustness during the training ***,different gradient descent methods are compared to obtain the optimal optimizer for training model *** third problem relates to data sample imbalance,cross entropy(CE)loss is replaced by focal loss(FL)to addr.ss the issue of serious imbalance between positive and negative *** of the improved DeepLabv3+model with above solutions is demonstrated by experiment results with different system parameters.

关键词： railway track recognition convolutional neural networks semantic segmentation DeepLabv3+

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Insights into interfacial speciation and deposition morphology evolution at Mg-electrolyte interfaces under practical conditions

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Journal of Energy Chemistry 2020年第9期29卷 299-307,I0009页

作者： Zihao Song zhonghua zhang Aobing Du Shamu Dong Guicun Li Guanglei Cui College of Materials Science and Engineering Qingdao University of Science and TechnologyQingdao 266042ShandongChina Qingdao Industrial Energy Storage Research Institute Qingdao Institute of Bioenergy and Bioprocess TechnologyChinese Academy of SciencesQingdao 266101ShandongChina

Rechargeable magnesium(Mg)battery technologies show the promise of low cost,less safety concerns and relatively higher energy *** the critical issues on the Mg stripping/plating performance as well as the Mg metal anode-electrolyte interfacial chemistry is one great importance under the practical areal capacity and rate *** this work,we systematically investigate the electrochemistry of Mg stripping/plating processes within four distinctive Mg-ion electrolytes and the Mg anodeelectrolyte interfacial chemistry under practical *** results show that the cycle life of Mg//Cu asymmetric cells using these above electrolytes is significantly shortened(less than 10 cycles)when tested at a practical areal capacity of 10 mAh cm^-*** optical and electron microscopic analyses reveal that the gradual growth of the Mg deposits is susceptible to detachment from the copper substrate,where the initial nucleation process might *** spite of showing an interconnected particle-like morphology,the Mg deposits could easily penetrate the porous separator,leading to cell *** co-deposition of metallic Al is revealed from surface region to bulk,while the Cl-containing species exist in the near surface of Mg *** work not only highlights the critical impacts of areal capacity on the performances of Mg stripping/plating process,but calls for further efforts to eliminating the safety concerns of Mg anode under practical conditions.

关键词： Magnesium battery Interfacial chemistry Magnesium stripping/plating Aluminum co-deposition

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Prediction of hot deformation behavior in Ni-based alloy considering the effect of initial microstructure

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Progress in Natural Science:Materials International 2015年第1期25卷 66-77页

作者： Qiang Zuo Feng Liu Lei Wang Changfeng Chen zhonghua zhang State Key Laboratory of Solidification Processing Northwestern Polytechnical University Department of Materials Science and Engineering China University of Petroleum Baoshan Iron & Steel Co. Ltd.

High temperature heat treatments were conducted for as-cast N08028 alloy to obtain various microstructures with different amounts of σ-phase,and then hot compression tests were carried out using Gleeble-3500 thermo-mechanical simulator in deformation temperature range from 1100 to1200 ℃ and strain rate range from 0.01 to 1 s-1. For the same initial microstructure, the flow stress was observed to increase with increasing the strain rate and decreasing the deformation temperature, while for the same deformation condition, the flow stress was found to increase with increasing the amount of σ-phase in the initial microstructure. Moreover, dynamic recrystallization was found to be the main dynamic soften mechanism. On this basis, Arrhenius-type constitutive equations and artificial neural network(ANN) model with back-propagation learning algorithm were established to predict hot deformation behavior of the alloy. Furthermore, the parameters of constitutive equations were found to be dependent on the initial microstructure, which was also as one of the inputs for the ANN model. Suitability of the two models was evaluated by comparing the accuracy, correlation coefficient and average absolute relative error, of the prediction. It is concluded that the ANN model is more accurately than the constitutive equations.

关键词： Initial microstructure Ni-based alloy Hot deformation behavior Constitutive equations Artificial neural network

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