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Koó,s, Antal A.,Vancsó,, Pé,ter,Magda, Gá,bor Z.,Osvá,th, Zoltá,n,Kerté,sz, Krisztiá,n,Dobrik, Gergely,Hwang, Chanyong,Tapasztó,, Levente,Bir&oacu Elsevier 2016 Carbon Vol.105 No.-
<P>Heterostructures of 2D materials are expected to become building blocks of next generation nanoelectronic devices. Therefore, the detailed understanding of their interfaces is of particular importance. In order to gain information on the properties of the graphene - MoS2 system, we have investigated MoS2 sheets grown by chemical vapour deposition (CVD) on highly ordered pyrolytic graphite (HOPG) as a model system with atomically clean interface. The results are compared with results reported recently for MoS2 grown on epitaxial graphene on SiC. Our STM study revealed that the crystallographic orientation of MoS2 sheets is determined by the orientation of the underlying graphite lattice. This epitaxial orientation preference is so strong that the MoS2 flakes could be moved on HOPG with the STM tip over large distances without rotation. The electronic properties of the MoS2 flakes have been investigated using tunneling spectroscopy. A significant modification of the electronic structure has been revealed at flake edges and grain boundaries. These features are expected to have an important influence on the performance of nanoelectronic devices. We have also demonstrated the ability of the STM to define MoS2 nanoribbons down to 12 nm width, which can be used as building blocks for future nanoelectronic devices. (C) 2016 Elsevier Ltd. All rights reserved.</P>
Stylized facts in social networks: Community-based static modeling
Jo, Hang-Hyun,Murase, Yohsuke,Tö,rö,k, Já,nos,Kerté,sz, Já,nos,Kaski, Kimmo Elsevier 2018 PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIO Vol.500 No.-
<P><B>Abstract</B></P> <P>The past analyses of datasets of social networks have enabled us to make empirical findings of a number of aspects of human society, which are commonly featured as stylized facts of social networks, such as broad distributions of network quantities, existence of communities, assortative mixing, and intensity-topology correlations. Since the understanding of the structure of these complex social networks is far from complete, for deeper insight into human society more comprehensive datasets and modeling of the stylized facts are needed. Although the existing dynamical and static models can generate some stylized facts, here we take an alternative approach by devising a community-based static model with heterogeneous community sizes and larger communities having smaller link density and weight. With these few assumptions we are able to generate realistic social networks that show most stylized facts for a wide range of parameters, as demonstrated numerically and analytically. Since our community-based static model is simple to implement and easily scalable, it can be used as a reference system, benchmark, or testbed for further applications.</P>