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Assessing the dynamics of O2 desorption from cobalt phthalocyanine by in situ electrochemical scanning tunneling microscopy

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Journal of Energy Chemistry 2024年第11期98卷 144-148页

作者： yu-Qi wang yue Feng Xiang wang Dong wang CAS Key Laboratory of Molecular Nanostructure and Nanotechnology CAS Research/Education Center for Excellence in Molecular Sciences Beijing National Laboratory for Molecular Science (BNLMS) Institute of Chemistry Chinese Academy of Sciences University of Chinese Academy of Sciences

We report here the in situ electrochemical scanning tunneling microscopy（ECSTM） study of cobalt phthalocyanine（CoPc）-catalyzed O2evolution reaction（OER） and the dynamics of *** self-assembled CoPc monolayer is fabricated on Au（111） substrate and resolved by ECSTM in 0.1 M KOH *** OH-adsorption on CoPc prior to OER is observed in ECSTM *** OER,the generated O2adsorbed on Co Pc is observed in the CoPc *** step experiment is employed to monitor the desorption of OER-generated O2from CoPc,which results in the decreasing surface coverage of CoPc-O2with *** rate constant of O2desorption is evaluated through data *** insights into the dynamics of Co-O2dissociation at the molecular level via in situ imaging help understand the role of Co-O2in oxygen reduction reaction（ORR） and OER.

关键词： Cobalt phthalocyanine Electrochemical scanning tunneling microscopy Oxygen evolution reaction

Generic Existence of Infinitely Many Non-contractible Closed Geodesics on Compact Space Forms

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Acta Mathematica Sinica,English Series 2024年第7期40卷 1674-1684页

作者： Hui Liu yu Chen wang School of Mathematics and Statistics Wuhan UniversityWuhan430072P.R.China School of Mathematics Tianjin Normal UniversityTianjin300384P.R.China

Let M=S^(n)/Γand h be a nontrivial element of finite order p inπ_(1)(Μ),where the integers n,p≥2,Γis a finite abelian group which acts freely and isometrically on the n-sphere and therefore M is diffeomorphic to a compact space *** this paper,we prove that there are infinitely many non-contractible closed geodesics of class[h]on the compact space form with C^(r)-generic Finsler metrics,where 4≤r≤∞.The conclusion also holds for Cr-generic Riemannian metrics for 2≤r≤∞.The proof is based on the resonance identity of non-contractible closed geodesics on compact space forms.

关键词： Compact space forms non-contractible closed geodesics generic Finsler metrics resonance identity

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Multimodal Machine Learning Guides Low Carbon Aeration Strategies in Urban Wastewater Treatment

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Engineering 2024年第5期36卷 51-62页

作者： Hong-Cheng wang yu-Qi wang Xu wang Wan-Xin Yin Ting-Chao yu Chen-Hao Xue Ai-Jie wang State Key Laboratory of Urban Water Resource and Environment School of Civil and Environmental EngineeringHarbin Institute of Technology(Shenzhen)Shenzhen 518055China Key Laboratory of Drinking Water Safety and Distribution Technology of Zhejiang Province College of Civil Engineering and ArchitectureZhejiang UniversityHangzhou 310058China

The potential for reducing greenhouse gas(GHG)emissions and energy consumption in wastewater treatment can be realized through intelligent control,with machine learning(ML)and multimodality emerging as a promising ***,we introduce an ML technique based on multimodal strategies,focusing specifically on intelligent aeration control in wastewater treatment plants(WWTPs).The generalization of the multimodal strategy is demonstrated on eight ML *** results demonstrate that this multimodal strategy significantly enhances model indicators for ML in environmental science and the efficiency of aeration control,exhibiting exceptional performance and *** random forest with visual models achieves the highest accuracy in forecasting aeration quantity in multimodal models,with a mean absolute percentage error of 4.4%and a coefficient of determination of *** testing in a full-scale plant reveals that the multimodal model can reduce operation costs by 19.8%compared to traditional fuzzy control *** potential application of these strategies in critical water science domains is *** foster accessibility and promote widespread adoption,the multimodal ML models are freely available on GitHub,thereby eliminating technical barriers and encouraging the application of artificial intelligence in urban wastewater treatment.

关键词： Wastewater treatment Multimodal machine learning Deep learning Aeration control Interpretable machine learning

MTTSNet:Military time-sensitive targets stealth network via real-time mask generation

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Defence Technology（防务技术） 2024年第3期33卷 601-612页

作者： Siyu wang Xiaogang Yang Ruitao Lu Zhengjie Zhu Fangjia lian Qing-ge Li Jiwei Fan PLA Rocket Force University of Engineering Xi'an 710025China

The automatic stealth task of military time-sensitive targets plays a crucial role in maintaining national military security and mastering battlefield dynamics in military *** propose a novel Military Time-sensitive Targets Stealth Network via Real-time Mask Generation(MTTSNet).According to our knowledge,this is the first technology to automatically remove military targets in real-time from *** critical steps of MTTSNet are as follows:First,we designed a real-time mask generation network based on the encoder-decoder framework,combined with the domain expansion structure,to effectively extract mask ***,the ASPP structure in the encoder could achieve advanced semantic feature *** decoder stacked high-dimensional information with low-dimensional information to obtain an effective mask ***,the domain expansion module guided the adaptive expansion of mask ***,a context adversarial generation network based on gated convolution was constructed to achieve background restoration of mask positions in the original *** addition,our method worked in an end-to-end manner.A particular semantic segmentation dataset for military time-sensitive targets has been constructed,called the Military Time-sensitive Target Masking Dataset(MTMD).The MTMD dataset experiment successfully demonstrated that this method could create a mask that completely occludes the target and that the target could be hidden in real time using this *** demonstrated the concealment performance of our proposed method by comparing it to a number of well-known and highly optimized baselines.

关键词： Deep learning Military application Targets stealth network Mask generation Generative adversarial network

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Statistical analysis and interpretation on lightning impulse breakdown voltages of ester liquids under varying field uniformity

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High Voltage 2024年第1期9卷 22-34页

作者： Haichuan yu Qiang Liu Zhongdong wang Department of Electrical and Electronic Engineering The University of ManchesterManchesterUK Department of Engineering University of ExeterExeterUK

Ester liquids(ELs),as the alternative transformer liquids to the conventional mineral oils(MOs),have been increasingly used in power transformers with high voltage *** various properties,the lightning impulse breakdown voltages(LIBDVs)have been studied elaborately in the past two decades under different electric field *** electric field uniformities do have an effect on the breakdown characteristics,for example,breakdown mechanisms,polarity effects,and differences of LIBDV between ELs and MOs,which is quantitatively investigated based on the LIBDVs collected from the *** breakdown mechanism transition phenomenon between streamer initiation dominated breakdown and streamer propagation dominated breakdown has been reviewed ***,the transition field factor boundaries to observe the polarity effect on LIBDVs are taken at around 20 for ELs and 10 for ***,the transition field factor boundaries to observe the LIBDV distinctions between ELs and MOs are about 109 and 14 under positive and negative lightning impulse,*** systematic analysis and interpretation on the transition field factor boundaries among different phenomena can provide insights on insulation design of ELs filled power transformers.

关键词： field lightning breakdown

Defects in the grain interiors of 3 mol%yttria-stabilized tetragonal zirconia polycrystal ceramics with 0.25 wt%alumina

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Journal of Advanced Ceramics 2024年第4期13卷 469-477页

作者： Yan Xiong lian Luo Yao Cheng Zhi Liu Qi Liu Weimin wang Wei Ji School of Materials&Chemical Engineering Hubei Province Key Laboratory of Green Materials for Light IndustryHubei University of TechnologyWuhan 430068China Fujian Institute of Research on the Structure of Mater Chinese Academy of SciencesFuzhou 350002China Jiangxi Provincial Engineering Research Center for Multifunction Zirconia Materials Jiangxi Size Materials Co.Ltd.Jiujiang 332500China State Key Laboratory of Advance Technology for Materials Synthesis and Processing Wuhan University of TechnologyWuhan 430070China

The presence of high-density defects is rarely observed in bulk 3 mol%yttria-stabilized tetragonal zirconia polycrystal(3Y-TZP)ceramics obtained through conventional pressureless *** the present work,fine-grained dense 147 nm 3Y-TZP ceramics were prepared by pressureless sintering of commercial 0.25 wt%alumina-doped zirconia powders at 1300℃.A novel discovery was reported in which large amounts of defects were present in the grain interiors of the *** phenomenon was further examined using three types of powder samples,and the reasons for defect formation were investigated by microstructural characterization using high-resolution transmission electron microscopy(HRTEM)analysis and Rietveld *** results confirmed the essential dependence of the defect formation on the alumina *** authors attributed the defect formation to the significant difference in ionic radii of the solvent and solute during the dissolution of alumina into the zirconia *** sintering kinetics were proposed to be enhanced by the presence of substantial defects,which consequently favored the low-temperature sintering of the alumina-doped zirconia ceramics.

关键词： 3 mol%yttria-stabilized tetragonal zirconia polycrystal(3Y-TzP)ceramics alumina addition microstructure defect

An improved model combining machine learning and Kalman filtering architecture for state of charge estimation of lithium-ion batteries

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Green Energy and Intelligent Transportation 2024年第4期3卷 1-11页

作者： Yan Li Min Ye Qiao wang Gaoqi lian Baozhou Xia National Engineering Research Center for Highway Maintenance Equipment Chang'an UniversityXi'an710064China Chair for Electrochemical Energy Conversion and Storage Systems Institute for Power Electronics and Electrical Drives(ISEA)RWTH Aachen UniversityAachen52062Germany

Accurate state of charge(SOC)estimation of lithium-ion batteries is a fundamental prerequisite for ensuring the normal and safe operation of electric vehicles,and it is also a key technology component in battery management *** recent years,lithium-ion battery SOC estimation methods based on data-driven approaches have gained significant ***,these methods commonly face the issue of poor model generalization and limited *** address such issues,this study proposes a closed-loop SOC estimation method based on simulated annealing-optimized support vector regression(SA-SVR)combined with minimum error entropy based extended Kalman filter(MEE-EKF)***,a probability-based SA algorithm is employed to optimize the internal parameters of the SVR,thereby enhancing the precision of original SOC ***,utilizing the framework of the Kalman filter,the optimized SVR results are incorporated as the measurement equation and further processed through the MEE-EKF,while the ampere-hour integral physical model serves as the state equation,effectively attenuating the measurement noise,enhancing the estimation accuracy,and improving generalization *** proposed method is validated through battery testing experiments conducted under three typical operating conditions and one complex and random operating condition with wide temperature variations under only one condition *** results demonstrate that the proposed method achieves a mean absolute error below 0.60%and a root mean square error below 0.73%across all operating conditions,showcasing a significant improvement in estimation accuracy compared to the benchmark *** high precision and generalization capability of the proposed method are evident,ensuring accurate SOC estimation for electric vehicles.

关键词： Lithium-ion battery State of charge estimation Support vector regression Simulated annealing optimization Kalman filter

Benchmarking Algorithms for Gene Set Scoring of Single-cell ATAC-seq Data

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Genomics, Proteomics & Bioinformatics 2024年第2期22卷 27-42页

作者： Xi wang Qiwei lian Haoyu Dong Shuo Xu Yaru Su Xiaohui Wu Pasteurien College Suzhou Medical College of Soochow UniversitySoochow UniversitySuzhou 215000China Department of Automation Xiamen UniversityXiamen 361005China College of Mathematics and Computer Science Fuzhou UniversityFuzhou 350116China

Gene set scoring(GSS)has been routinely conducted for gene expression analysis of bulk or single-cell RNA sequencing(RNA-seq)data,which helps to decipher single-cell heterogeneity and cell type-specific variability by incorporating prior knowledge from functional gene ***-cell assay for transposase accessible chromatin using sequencing(scATAC-seq)is a powerful technique for interrogating single-cell chromatin-based gene regulation,and genes or gene sets with dynamic regulatory potentials can be regarded as cell type-specific markers as if in single-cell RNA-seq(scRNA-seq).However,there are few GSS tools specifically designed for scATAC-seq,and the applicability and performance of RNA-seq GSS tools on scATAC-seq data remain to be ***,we systematically benchmarked ten GSS tools,including four bulk RNA-seq tools,five scRNA-seq tools,and one scATAC-seq ***,using matched scATAC-seq and scRNA-seq datasets,we found that the performance of GSS tools on scATAC-seq data was comparable to that on scRNA-seq,suggesting their applicability to ***,the performance of different GSS tools was extensively evaluated using up to ten scATAC-seq ***,we evaluated the impact of gene activity conversion,dropout imputation,and gene set collections on the results of *** show that dropout imputation can significantly promote the performance of almost all GSS tools,while the impact of gene activity conversion methods or gene set collections on GSS performance is more dependent on GSS tools or ***,we provided practical guidelines for choosing appropriate preprocessing methods and GSS tools in different application scenarios.

关键词： Single-cell ATAC-seq Gene set scoring Pathway analysis Single-cell RNA-seq Benchmark

Semi-supervised remote sensing image scene classification with prototype-based consistency

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Chinese Journal of Aeronautics 2024年第2期37卷 459-470页

作者： Yang LI Zhang LI Zi wang Kun wang Qifeng yu College of Aerospace Science and Engineering National University of Defense TechnologyChangsha 410073China

Deep learning significantly improves the accuracy of remote sensing image scene classification,benefiting from the large-scale ***,annotating the remote sensing images is time-consuming and even tough for *** neural networks trained using a few labeled samples usually generalize less to new unseen *** this paper,we propose a semi-supervised approach for remote sensing image scene classification based on the prototype-based consistency,by exploring massive unlabeled *** this end,we,first,propose a feature enhancement module to extract discriminative *** is achieved by focusing the model on the foreground ***,the prototype-based classifier is introduced to the framework,which is used to acquire consistent feature *** conduct a series of experiments on NWPU-RESISC45 and Aerial Image Dataset(AID).Our method improves the State-Of-The-Art(SOTA)method on NWPU-RESISC45 from 92.03%to 93.08%and on AID from 94.25%to 95.24%in terms of accuracy.

关键词： Semi-supervised learning Remote sensing Scene classification Prototype network Deep learning

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