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- 저자 : Archakov, Alexander (검색결과 2 건)
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Vladimir G. Konakov,Olga Yu. Kurapova,Ivan Yu. Archakov 대한금속·재료학회 2020 METALS AND MATERIALS International Vol.26 No.12
Bulk copper–graphene composites are regarded as novel materials for the application for electronics. However, the propertiesof the composites and their microstructure are highly dependent on synthesis technique parameters as well as the grapheneadditive contents and its type: graphene flakes, graphene nanoparticles, reduced graphene oxide particles, etc. In the presentwork, powder metallurgy technique was modified to produce copper–graphene composites; the milling procedure was optimizedbasing on particle size distribution data. The optimal amount of graphene additive to copper powder was calculatedvia the simple mathematical model, where metal–graphene composite is regarded as a core–shell particle. That approachwas used to produce copper–graphene composites with the graphene contents of 0.1, 0.5, and 1.0 wt%. In case of 3 wt% ofcarbon additive (thermally exfoliated graphite) copper-graphite–graphene composites were obtained. The microstructure ofsamples was studied by scanning electron microscopy and electron back-scattering diffraction. The identification of carbonallotropes was performed by Raman spectroscopy. It was shown that the graphene additive acts as a lubricant during powdermetallurgy process: carbon allotrope flakes are not introduced into the material matrix but extruded to pores. As a result,a new synthesis approach for copper–graphene composites manufacturing with improved microstructure and mechanicalproperties was suggested.
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Paik, Young-Ki,Lane, Lydie,Kawamura, Takeshi,Chen, Yu-Ju,Cho, Je-Yoel,LaBaer, Joshua,Yoo, Jong Shin,Domont, Gilberto,Corrales, Fernando,Omenn, Gilbert S.,Archakov, Alexander,Encarnació,n-Guevara American Chemical Society 2018 JOURNAL OF PROTEOME RESEARCH Vol.17 No.12
<P>An important goal of the Human Proteome Organization (HUPO) Chromosome-centric Human Proteome Project (C-HPP) is to correctly define the number of canonical proteins encoded by their cognate open reading frames on each chromosome in the human genome. When identified with high confidence of protein evidence (PE), such proteins are termed PE1 proteins in the online database resource, neXtProt. However, proteins that have not been identified unequivocally at the protein level but that have other evidence suggestive of their existence (PE2-4) are termed missing proteins (MPs). The number of MPs has been reduced from 5511 in 2012 to 2186 in 2018 (neXtProt 2018-01-17 release). Although the annotation of the human proteome has made significant progress, the “parts list” alone does not inform function. Indeed, 1937 proteins representing ∼10% of the human proteome have no function either annotated from experimental characterization or predicted by homology to other proteins. Specifically, these 1937 “dark proteins” of the so-called dark proteome are composed of 1260 functionally uncharacterized but identified PE1 proteins, designated as uPE1, plus 677 MPs from categories PE2-PE4, which also have no known or predicted function and are termed uMPs. At the HUPO-2017 Annual Meeting, the C-HPP officially adopted the uPE1 pilot initiative, with 14 participating international teams later committing to demonstrate the feasibility of the functional <U>c</U>haracterization of large numbers of dark <U>p</U>roteins (CP), starting first with 50 uPE1 proteins, in a stepwise chromosome-centric organizational manner. The second aim of the feasibility phase to <U>c</U>haracterize protein (CP) functions of 50 uPE1 proteins, termed the neXt-CP50 initiative, is to utilize a variety of approaches and workflows according to individual team expertise, interest, and resources so as to enable the C-HPP to recommend experimentally proven workflows to the proteome community within 3 years. The results from this pilot will not only be the cornerstone of a larger characterization initiative but also enhance understanding of the human proteome and integrated cellular networks for the discovery of new mechanisms of pathology, mechanistically informative biomarkers, and rational drug targets.</P> [FIG OMISSION]</BR>
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