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Deformation-and rupture-controlled friction between PDMS and a nanometer-scale SiO_(x) single-asperity

Friction 2023年第9期11卷 1755-1770页

作者： Arnaud CARON School of Energy Materials and Chemical EngineeringKoreaTech–Korea University of Technology and EducationCheonan 31253Republic of Korea

This work investigates the friction between polydimethylsiloxane(PDMS)and silicon oxide(SiO_(x))in single asperity sliding contact by atomic force microscopy(AFM).Two friction dependences on the normal force are identified:a tensile regime and a compressive regime of normal *** the compressive regime,friction is governed by the shear deformation and rupture of junctions between PDMS and SiO_(x).In this case,the shear strengthτ≈10 MPa is comparable with the cohesive strength of PDMS under compressive *** contrast,friction in the tensile regime is also affected by the elongation of the *** single SiO_(x)-asperity follows a stick–slip motion on PDMS in both normal force *** analysis of stick–slip as a function of the normal force allows determining the necessary amount of energy to break a SiO_(x)/PDMS *** between a SiO_(x)-asperity and a PDMS surface can be rationalized based on an energy criterion for the deformation and slippage of nanometer-scale junctions.

关键词： friction adhesion fracture atomic force microscopy(AFM) polydimethylsiloxane(PDMS)

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Information Extraction Based on Multi-turn Question Answering for Analyzing Korean Research Trends

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Computers, Materials & Continua 2023年第2期74卷 2967-2980页

作者： Seongung Jo Heung-Seon Oh Sanghun Im Gibaeg Kim Seonho Kim School of Computer Science and Engineering KOREATECHCheonan31253Korea Korea Institute of Science and Technology Information KISTIDaejeon34141Korea

Analyzing Research and Development(R&D)trends is important because it can influence future decisions regarding R&D *** typical trend analysis,topic or technology taxonomies are employed to compute the popularities of the topics or codes over *** it is simple and effective,the taxonomies are difficult to manage because new technologies are introduced ***,recent studies exploit deep learning to extract pre-defined targets such as problems and *** on the recent advances in question answering(QA)using deep learning,we adopt a multi-turn QA model to extract problems and solutions from Korean R&D *** the previous research,we use the reports directly and analyze the difficulties in handling them using QA style on Information Extraction(IE)for sentence-level benchmark *** investigating the characteristics of Korean R&D,we propose a model to deal with multiple and repeated appearances of targets in the ***,we propose a model that includes an algorithm with two novel modules and a prompt.A newly proposed methodology focuses on reformulating a question without a static template or pre-defined *** show the effectiveness of the proposed model using a Korean R&D report dataset that we constructed and presented an in-depth analysis of the benefits of the multi-turn QA model.

关键词： Natural language processing information extraction question answering multi-turn Korean research trends

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LAME:Layout-Aware Metadata Extraction Approach for Research Articles

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Computers, Materials & Continua 2022年第8期72卷 4019-4037页

作者： Jongyun Choi Hyesoo Kong Hwamook Yoon Heungseon Oh Yuchul Jung Department of Computer Engineering Kumoh National Institute of Technology(KIT)GumiKorea Korea Institute of Science and Technology Information(KISTI) DaejeonKorea School of Computer Science and Engineering Korea University of Technology and Education(KOREATECH)CheonanKorea

The volume of academic literature,such as academic conference papers and journals,has increased rapidly worldwide,and research on metadata extraction is ***,high-performing metadata extraction is still challenging due to diverse layout formats according to journal *** accommodate the diversity of the layouts of academic journals,we propose a novel LAyout-aware Metadata Extraction(LAME)framework equipped with the three characteristics(e.g.,design of automatic layout analysis,construction of a large meta-data training set,and implementation of metadata extractor).In the framework,we designed an automatic layout analysis using PDF *** on the layout analysis,a large volume of metadata-separated training data,including the title,abstract,author name,author affiliated organization,and keywords,were automatically ***,we constructed a pre-trainedmodel,Layout-Meta BERT,to extract the metadata from academic journals with varying layout *** experimental results with our metadata extractor exhibited robust performance(Macro-F1,93.27%)in metadata extraction for unseen journals with different layout formats.

关键词： Automatic layout analysis layout-MetaBERT metadata extraction research article

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Importance of surface oxide for the tribology of a Zr-based metallic glass

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Friction 2017年第1期5卷 115-122页

作者： S.J.KANG K.T.RITTGEN S.G.KWAN H.W.PARK R.BENNEWITZ A.CARON Department of Materials Sciences and Engineering Zhejiang University Hangzhou 310058 China NM-Leibniz Institute for New Materials Campus D2.2 Saarbrücken 66123 GermanyDepartment of Physics Saarland University Saarbrücken 66123 Germany koreatech Korea University of Technology and Education Chungnam Province 330-708 Republic of Korea NM-Leibniz Institute for New Materials Campus D2.2 Saarbrücken 66123 GermanyKoreaTech Korea University of Technology and Education Chungnam Province 330-708 Republic of Korea

Thermally grown surface oxide layers dominate the single-asperity tribological behavior of a Zr60Cu30Al10 glass. Increase in oxidation time leads to an increased contribution of shearing and a corresponding decreased contribution of ploughing to friction. This change in the dominating friction and wear mechanism results in an overall minor decrease of the friction coefficient of oxidized surfaces compared to the metallic glass sample with native surface oxide. Our results demonstrate the importance of creating a stable oxide layer for practical applications of metallic glasses in micro-devices involving sliding contact.

关键词： metallic glasses surface oxide friction wear nanotribology atomic force microscopy

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