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Electronic states of disordered grain boundaries in graphene prepared by chemical vapor deposition
Nemes-Incze, P.,Vancso, P.,Osvath, Z.,Mark, G.I.,Jin, X.,Kim, Y.S.,Hwang, C.,Lambin, P.,Chapelier, C.,PeterBiro, L. Pergamon Press ; Elsevier Science Ltd 2013 Carbon Vol.64 No.-
Perturbations of the two dimensional carbon lattice of graphene, such as grain boundaries, have significant influence on the charge transport and mechanical properties of this material. Scanning tunneling microscopy measurements presented here show that localized states near the Dirac point dominate the local density of states of grain boundaries in graphene grown by chemical vapor deposition. Such low energy states are not reproduced by theoretical models which treat the grain boundaries as periodic dislocation-cores composed of pentagonal-heptagonal carbon rings. Using ab initio calculations, we have extended this model to include disorder, by introducing vacancies into a grain boundary consisting of periodic dislocation-cores. Within the framework of this model we were able to reproduce the measured density of states features. We present evidence that grain boundaries in graphene grown on copper incorporate a significant amount of disorder in the form of two-coordinated carbon atoms.
윤성원,Daniel Gimenez,Attila Nemes,전현정,장용선,손연규,강성수,김명숙,김유학,하상건 한국토양비료학회 2011 한국토양비료학회지 Vol.44 No.5
Soil hydraulic properties such as hydraulic conductivity or water retention which are costly to measure can be indirectly generated by soil pedotransfer function (PTF) using easily obtainable soil data. The field soil structure description which is routinely recorded could also be used in PTF as an input to reduce the uncertainty. The purposes of this study were to use qualitative morphological soil structure descriptions and soil structural index into PTF and to evaluate their contribution in the prediction of soil hydraulic properties. We transformed categorical morphological descriptions of soil structure into quantitative values using categorical principal component analysis (CATPCA). This approach was tested with a large data set from the US National Pedon Characterization database with the aid of a categorical regression tree analysis. Six different PTFs were used to predict the saturated hydraulic conductivity and those results were averaged to quantify the uncertainty. Quantified morphological description was successively used in multiple linear regression approach to predict the averaged ensemble saturated conductivity. The selected stepwise regression model with only the transformed morphological variables and structural index as predictors predicted the Ksat with r2 = 0.48 (p = 0.018), indicating the feasibility of CATPCA approach. In a regression tree analysis, soil structure index and soil texture turned out to be important factors in the prediction of the hydraulic properties. Among structural descriptions size class turned out to be an important grouping parameter in the regression tree. Bulk density, clay content, W33 and structural index explained clusters selected by a two step clustering technique, implying the morphologically described soil structural features are closely related to soil physical as well as hydraulic properties. Although this study provided relatively new method which related soil structure description to soil structure index, the same approach should be tested using a datasets containing the actual measurement of hydraulic properties. More insight on the predictive power of soil structure index to estimate hydraulic properties would be achieved by considering measured the saturated hydraulic conductivity and the soil water retention.
Graphene nanopatterns with crystallographic orientation control for nanoelectronic applications
Biro, L.P.,Nemes-Incze, P.,Dobrik, G.,Hwang, C.,Tapaszto, L. Elsevier 2011 Diamond and related materials Vol.20 No.8
The possibility of parallel processing of several features was investigated experimentally for the two methods allowing the crystallographically controlled nanopatterning of graphene: scanning tunneling lithography (STL) and carbothermal etching (CTE). It was found that with multitip systems both methods are suitable for parallel processing. CTE has the advantages that only in the atomic force microscope (AFM) indentation phase is needed the multitip system and it can reveal the location of grain boundaries, so that the nanodevices can be placed in a way that they do not cross grain boundaries. STL is well suited for purposefully producing twisted graphene multilayers with precisely-know misorientations of the individual layers, as also evidenced by Moire-type patterns observed in the atomic resolution scanning tunneling microscopy (STM) images.
Yoon, Sung-Won,Gimenez, Daniel,Nemes, Attila,Chun, Hyen-Chung,Zhang, Yong-Seon,Sonn, Yeon-Kyu,Kang, Seong-Soo,Kim, Myung-Sook,Kim, Yoo-Hak,Ha, Sang-Keun Korean Society of Soil Science and Fertilizer 2011 한국토양비료학회지 Vol.44 No.5
Soil hydraulic properties such as hydraulic conductivity or water retention which are costly to measure can be indirectly generated by soil pedotransfer function (PTF) using easily obtainable soil data. The field soil structure description which is routinely recorded could also be used in PTF as an input to reduce the uncertainty. The purposes of this study were to use qualitative morphological soil structure descriptions and soil structural index into PTF and to evaluate their contribution in the prediction of soil hydraulic properties. We transformed categorical morphological descriptions of soil structure into quantitative values using categorical principal component analysis (CATPCA). This approach was tested with a large data set from the US National Pedon Characterization database with the aid of a categorical regression tree analysis. Six different PTFs were used to predict the saturated hydraulic conductivity and those results were averaged to quantify the uncertainty. Quantified morphological description was successively used in multiple linear regression approach to predict the averaged ensemble saturated conductivity. The selected stepwise regression model with only the transformed morphological variables and structural index as predictors predicted the $K_{sat}$ with $r^2$ = 0.48 (p = 0.018), indicating the feasibility of CATPCA approach. In a regression tree analysis, soil structure index and soil texture turned out to be important factors in the prediction of the hydraulic properties. Among structural descriptions size class turned out to be an important grouping parameter in the regression tree. Bulk density, clay content, W33 and structural index explained clusters selected by a two step clustering technique, implying the morphologically described soil structural features are closely related to soil physical as well as hydraulic properties. Although this study provided relatively new method which related soil structure description to soil structure index, the same approach should be tested using a datasets containing the actual measurement of hydraulic properties. More insight on the predictive power of soil structure index to estimate hydraulic properties would be achieved by considering measured the saturated hydraulic conductivity and the soil water retention.
Fü,lö,p, Tamá,s,Nemes, Ré,ka,Mé,szá,ros, Tamá,s,Urbanics, Rudolf,Kok, Robbert Jan,Jackman, Joshua A.,Cho, Nam-Joon,Storm, Gert,Szebeni, Já,nos Elsevier 2018 Journal of controlled release Vol.270 No.-
<P><B>Abstract</B></P> <P>The unique magnetic properties of superparamagnetic iron oxide nanoparticles (SPIONs) have led to their increasing use in drug delivery and imaging applications. Some polymer-coated SPIONs, however, share with many other nanoparticles the potential of causing hypersensitivity reactions (HSRs) known as complement (C) activation-related pseudoallergy (CARPA). In order to explore the roles of iron core composition and particle surface coating in SPION-induced CARPA, we measured C activation by 6 different SPIONs in a human serum that is known to react to nanoparticles (NPs) with strong C activation. Remarkably, only the carboxymethyldextran-coated (ferucarbotran, Resosvist®) and dextran-coated (ferumoxtran-10, Sinerem®) SPIONs caused significant C activation, while the citric acid, phosphatidylcholine, starch and chitosan-coated SPIONs had no such effect. Focusing on Resovist and Sinerem, we found Sinerem to be a stronger activator of C than Resovist, although the individual variation in 15 different human sera was substantial. Further analysis of C activation by Sinerem indicated biphasic dose dependence and significant production of C split product Bb but not C4d, attesting to alternative pathway C activation only at low doses. Consistent with the strong C activation by Sinerem and previous reports of HSRs in man, injection of Sinerem in a pig led to dose-dependent CARPA, while Resovist was reaction-free. Using nanoparticle tracking analysis, it was further determined that Sinerem, more than Resovist, displayed multimodal size distribution and significant fraction of aggregates – factors which are known to promote C activation and CARPA. Taken together, our findings offer physicochemical insight into how key compositional factors and nanoparticle size distribution affect SPION-induced CARPA, a knowledge that could lead to the development of SPIONs with improved safety profiles.</P> <P><B>Graphical abstract</B></P> <P>[DISPLAY OMISSION]</P>
Ju´ lia Gy}orfi,Andra´s Geo¨sel,Ma´ria Kiss,Katalin Nemes,Mariann Cso´ka,Korne´l Kora´ny 한국식품영양과학회 2013 Journal of medicinal food Vol.16 No.2
In Hungary, fairly little is known about Agaricus subrufescens Peck (formerly called Agaricus blazei Murrill), which is cultivated on an industrial scale in the Far East. Nevertheless, this mushroom species exerts a curative influence and might become a new pillar of cancer research and antitumorous therapy. The present study gives a detailed discussion on the compositional differences of the scent components of A. subrufescens and its close relative Agaricus bisporus based on gas chromatography–mass spectrometry measurements, subsequent to Likens–Nickerson simultaneous distillation–extraction.
Inexpensive, upscalable nanotube growth methods
Z.E. Horvath,K. Kertesz,L. Petho,A.A. Koos,L. Tapaszto,Z. Vertesy,Z. Osvath,Al. Darabont,P. Nemes-Incze,Zs. Ssrkozi,L.P. Bir? 한국물리학회 2006 Current Applied Physics Vol.6 No.2
Despite of the very promising foreseen applications, the use of carbon nanotubes in wider range is still limited by the high pro-duction costs. In this paper, our latest results concerning two inexpensive methods of carbon nanotube growth with the promise ofindustrial upscaling are presented. In case of the DC ‘‘arc in water’’ method, the eect of the angle of the two electrodes on theproduct yield was investigated. The highest nanotube yield and lowest amount of impurities were found at 90. electrode angles.zene/ferrocene solution in case of the injection CVD or ‘‘spay pyrolysis’’ method. Toluene, xylene, cyclohexane, cyclohexanone,n-hexane,n-heptane,n-octane andn-pentane were used as carbon source and cobaltocene and nickelocene as catalyst source. All thesecompounds were found to be suitable for nanotube production. The highest yield and the best quality were obtained when a mixtureof ferrocenenickelocene was used as catalyst and xylene as carbon source