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Morphology and electric potential-induced mechanical behavior of metallic porous nanostructures

Friction 2020年第3期8卷 604-612页

作者： sunghan kim Andreas APOLYCARPOU Hong LIANG School of Mechanical Engineering Chung Ang UniversinSeoul 06974Republic of Korea Department of Mechanical Engineering Texas A&M UniversiyCollege Sation 77843-3123USA

Understanding mechanical behaviors influenced by electric potential and tribological contacts is important for verifying the robustness and reliability of applications based on metallic porous nanostructures in electrical *** this work,nickel-based metallic porous nanostructures were studied to characterize their mechanical properties and morphologically dependent contact areas during application of an electric potential using a nanoindenter.W e observed that the indentation moduli of nickel-based metallic porous nanostructures were altered by pore size and application of electric *** addition,the structural aspects of the surface morphology of nickel-based porous nanostructures had a critical effect on the determination of contact area.W e suggest that the relation between electric potential and the mechanical behaviors of metallic porous nanostructures can be crucial for building mechanically robust functional devices,which are influenced by electric *** morphological shape characteristics of metallic porous nanostructures can be alternative decisive factors for manipulation of tribological performance through regulation of contact area.

关键词： mechanical properties nanoindentation metallic porous nanostructures contact area electric potentia

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Mechanical properties of graphene oxide?silk fibroin bionanofilms via nanoindentation experiments and finite element analysis

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Friction 2022年第2期10卷 282-295页

作者： Hyeonho CHO Joonho LEE Hyundo HWANG Woonbong HWANG Jin-Gyun kim sunghan kim School of Mechanical Engineering Chung-Ang UniversitySeoul 06974Republic of Korea Department of Mechanical Engineering(Integrated Engineering) Kyung Hee UniversityGyeonggi 17104Republic of Korea Department of Mechanical Engineering POSTECHPohang 37673Republic of Korea Department of Robotics&Mechatronics.Korea Institute of Machinery&Materials Daejeon 34103Republic of Korea

Understanding the mechanical properties of bionanofilms is important in terms of identifying their *** primary focus of this study is to examine the effect of water vapor annealed silk fibroin on the indentation modulus and hardness of graphene oxide-silk fibroin(GO-SF)bionanofilms through nanoindentation experiments and finite element analysis(FEA).The GO-SF bionanofilms were fabricated using the layer-by-layer *** water vapor annealing process was employed to enhance the interfacial properties between the GO and SF layers,and the mechanical properties of the GO-SF bionanofilms were found to be affected by this *** employing water vapor annealing,the indentation modulus and hardness of the GO-SF bionanofilms can be ***,the FEA models of the GO-SF bionanofilms were developed to simulate the details of the mechanical behaviors of the GO-SF *** difference in the stress and strain distribution inside the GO-SF bionanofilms before and after annealing was *** addition,the load-displacement curves that were obtained by the developed FEA model conformed well with the results from the nanoindentation *** summary,this study presents the mechanism of improving the indentation modulus and hardness of the GO-SF bionanofilms through the water vapor annealing process,which is established with the FEA simulation models.

关键词： graphene oxide silk fibroin layer-by-layer(LbL) nanoindentation finite element analysis(FEA)

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Morphology-influenced wetting model of nanopore structures

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Friction 2016年第3期4卷 249-256页

作者： sunghan kim Hyunho CHOI Andreas A.POLYCARPOU Hong LIANG School of Materials Science and Engineering Georgia Institute of Technology Atlanta 30332 USA Department of Mechanical Engineering Texas A & M University College Station Texas 77843-3123 USA

Understanding the wetting behavior of nanostructures is important for surface design. The present study examined the intrinsic wettability of nanopore structures, and proposed a theoretical wetting model. Using this model, it was found that the wetting behavior of nanopore structures depends on the morphology of a surface. To accurately predict the wetting behavior of nanopore structures, correction factors were introduced. As a result, the proposed wetting model can be used to predict the wettability of nanopore structures for various engineering purposes.

关键词： nanopore structures wetting model wettability contact angle

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Indian monsoon variability in the Mahanadi Basin over the last two glacial cycles and its implications on the Indonesian throughflow

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Geoscience Frontiers 2023年第1期14卷 215-229页

作者： Jongmin Lee sunghan kim Minoru Ikehara Keiji Horikawa Yoshihiro Asahara Chan Min Yoo Boo-Keun Khim Department of Oceanography Pusan National UniversityBusan 46241South Korea Deep-sea Mineral Resources Research Center Korea Institute of Ocean Science&TechnologyBusan 49111South Korea Division of Glacial Environment Research Korea Polar Research InstituteIncheon 21990South Korea Center for Advanced Marine Research Kochi UniversityKochi 783-8502Japan Graduate School of Science and Engineering for Research University of ToyamaToyama 930-8555Japan Department of Earth and Planetary Sciences Nagoya UniversityNagoya 464-8601Japan

The orbital-scale variability of the Indian summer monsoon(ISM)has been influenced by multiple factors,such as atmospheric CO_(2)concentration,global ice volume,and *** for weathering activity and paleo-productivity provide potential insights into the driving forces of its *** documented multi-proxy data at IODP Site U1445,located in the Mahanadi Basin of the northwestern Bay of Bengal,to find out ISM variability over the last 200 *** proxy records,such as Nd/Sr isotopes of detrital particles,clay mineral compositions of the fine-grained sediments,biogenic opal and CaCO_(3),organic carbon contents,and carbon isotopes of organic matter,represent sediment sources,weathering patterns,and paleo-productivity related to the ISM *** Nd/Sr isotope data and clay mineral compositions suggest that the sediments at Site U1445 originated mainly from the Ganges,Brahmaputra,and Meghna rivers without dramatic provenance change between the glacial and interglacial *** weathering activity inferred from clay mineral compositions and the paleo-productivity shift reconstructed by biogenic opal and CaCO_(3)contents suggest that the land-sea interactions were closely linked to the ISM precipitation between the glacial and interglacial *** precipitation by the strong ISM resulted in intense chemical weathering and dominant biogenic opal deposition during the interglacial *** contrast,low precipitation by the weak ISM led to reduced chemical weathering and predominant CaCO_(3)deposition during the glacial ***,the ISM variability driving the land-sea interactions in the Mahanadi Basin was modulated by the Indonesian throughflow(ITF).Our study emphasizes the role of low-latitude forcing of climatic changes in the strong relationship between the ISM and ITF over orbital periods,providing a base for future investigations.

关键词： Provenance Weathering activity Paleo-productivity Indian summer monsoon Bay of Bengal Indonesian throughflow

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Deep-learning-based inverse design model for intelligent discovery of organic molecules

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npj Computational Materials 2018年第1期4卷 103-109页

作者： Kyungdoc kim Seokho Kang Jiho Yoo Youngchun Kwon Youngmin Nam Dongseon Lee Inkoo kim Youn-Suk Choi Yongsik Jung Sangmo kim Won-Joon Son Jhunmo Son Hyo Sug Lee sunghan kim Jaikwang Shin Sungwoo Hwang Samsung Advanced Institute of Technology Samsung Electronics Co.Ltd.130 Samsung-roYeongtong-guSuwon-siGyeonggi-do 16678Republic of Korea Department of Systems Management Engineering Sungkyunkwan University2066 Seobu-roJangan-guSuwon-siGyeonggi-do 16419Republic of Korea

The discovery of high-performance functional materials is crucial for overcoming technical issues in modern *** efforts have been devoted toward accelerating and facilitating this process,not only experimentally but also from the viewpoint of materials ***,machine learning has attracted considerable attention,as it can provide rational guidelines for efficient material exploration without time-consuming iterations or prior human *** this regard,here we develop an inverse design model based on a deep encoder-decoder architecture for targeted molecular *** by neural machine language translation,the deep neural network encoder extracts hidden features between molecular structures and their material properties,while the recurrent neural network decoder reconstructs the extracted features into new molecular structures having the target *** material design tasks,the proposed fully data-driven methodology successfully learned design rules from the given databases and generated promising light-absorbing molecules and host materials for a phosphorescent organic light-emitting diode by creating new ligands and combinatorial rules.

关键词： inverse learning devoted

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