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This paper explores the transport properties of aluminum-carbon composite material via ab initio methods. Interfacial and electronic dynamics of the aluminum-graphene interface structure were investigated using models of amorphous graphene…

Materials Science · Physics 2024-02-12 K. Nepal , C. Ugwumadu , A. Gautam , K. Kappagantula , D. A. Drabold

Nobel Prize in Physics 2010 was given for "groundbreaking experiments regarding the two-dimensional material graphene." In fact, before graphene has been extracted from graphite and measured, some of its fundamental physical properties have…

Other Condensed Matter · Physics 2010-11-23 Yakov Kopelevich , Igor A. Luk'yanchuk

In this paper, we investigate, by molecular dynamics simulations, the mechanical properties of a new carbon nanostructure, termed graphene nanochain, constructed by sewing up pristine or twisted graphene nanoribbons (GNRs) and interlocking…

Materials Science · Physics 2013-11-26 Yongping Zheng , Lanqing Xu , Zheyong Fan , Ning Wei , Zhigao Huang

We propose a class of networks which can be regarded as an extension of the graphitic network. These networks are constructed so that surface states with non-bonding character (edge states) are formed in a tight-binding model with one…

Materials Science · Physics 2007-05-23 Y. Takagi , M. Fujita , K. Wakabayashi , M. Igami , S. Okada , K. Nakada , K. Kusakabe

Introduced the quantitative measure of the structural complexity of the graph (complex network, etc.) based on a procedure similar to the renormalization process, considering the difference between actual and averaged graph structures on…

Physics and Society · Physics 2024-06-05 A. A. Snarskii

We propose potential geometry for fabrication of the graphite sheets with atomically smooth edges. For such sheets with Bernal stacking, the electron-electron interaction and topology should cause sufficiently high density of states…

Superconductivity · Physics 2017-09-20 G. E. Volovik , V. M. Pudalov

Graphene has a multitude of striking properties that make it an exceedingly attractive material for various applications, many of which will emerge over the next decade. However, one of the most promising applications lie in exploiting its…

Graph neural networks (GNNs) have been applied to a large variety of applications in materials science and chemistry. Here, we recapitulate the graph construction for crystalline (periodic) materials and investigate its impact on the GNNs…

Machine Learning · Computer Science 2023-08-10 Robin Ruff , Patrick Reiser , Jan Stühmer , Pascal Friederich

Research on graphene and other two-dimensional (2D) materials, such as silicene, germanene, phosphorene, hexagonal boron nitride (h-BN), graphitic carbon nitride (g-C3N4), graphitic zinc oxide (g-ZnO) and molybdenum disulphide (MoS2), has…

Materials Science · Physics 2016-03-03 Wei Hu , Jinlong Yang

Recent advances in machine learning offer new ways to represent and study scholarly works and the space of knowledge. Graph and text embeddings provide a convenient vector representation of scholarly works based on citations and text. Yet,…

Social and Information Networks · Computer Science 2025-02-14 Isabel Constantino , Sadamori Kojaku , Santo Fortunato , Yong-Yeol Ahn

Graphene has been reported with record-breaking properties which have opened up huge potential applications. Considerable amount of researches have been devoted to manipulating or modify the properties of graphene to target a more smart…

Materials Science · Physics 2018-03-20 Kang Xia , Haifei Zhan , Yuantong Gu

4th Generation high-temperature gas-cooled nuclear reactors (HTGR) are regarded as possible sources of industrial heat in Poland and Europe, allowing for a substantial reduction of the dependency on gas and coal import. It is mainly due to…

The level structure of nuclei offers a large amount and variety of information to improve our knowledge of the strong interaction and of mesoscopic quantum systems. Gamma spectroscopy is a powerful tool to perform such studies: modern gamma…

Data Analysis, Statistics and Probability · Physics 2019-05-01 Camille Ducoin , Guillaume Maquart , Olivier Stézowski

Periodic structures with subwavelength features are instrumental in the versatile and effective control of electromagnetic waves from radio frequencies up to optics. In this paper, we theoretically evaluate the potential applications and…

Mesoscale and Nanoscale Physics · Physics 2013-01-04 Arya Fallahi , Julien Perruisseau-Carrier

In this document we explore graphene, a two-dimensional material with remarkable properties. We center our discussion around its electronic characteristics and their applications. We begin by giving a simple electronic model which will then…

Mesoscale and Nanoscale Physics · Physics 2024-02-02 Anthony Gerges Geha , Yago aguado , Modou B. Nadiaye

We report results of a multiscale simulation study of multilayer structures consisting of graphene sheets with embedded Pt nanoparticles. Density functional theory is used to understand the energetics of Pt-graphene interfaces and provide…

Applied Physics · Physics 2020-04-28 Samaneh Nasiri , Christian Greff , Kai Wang , Mingjun Yang , Qianqian Li , Paolo Moretti , Michael Zaiser

Optical computing has recently attracted a great deal of interest as it offers the ability to process data in a parallel manner. In this report, an optical computing system based on a metamaterial structure made of graphene is designed and…

Applied Physics · Physics 2019-10-01 Abolfazl Ghanbari , Ali Mahjoori

An atomic force microscope is used to structure a film of multilayer graphene. The resistance of the sample was measured in-situ during nanomachining narrow trenches. We found a reversible behavior in the electrical resistance which we…

Mesoscale and Nanoscale Physics · Physics 2008-03-18 P. Barthold , T. Luedtke , R. J. Haug

Hyperfine interactions, magnetic interactions between the spins of electrons and nuclei, in graphene and related carbon nanostructures are studied. By using a combination of accurate first principles calculations on graphene fragments and…

Materials Science · Physics 2008-04-09 Oleg V. Yazyev

In this book authors for the first time introduce the notion of strong neutrosophic graphs. They are very different from the usual graphs and neutrosophic graphs. Using these new structures special subgraph topological spaces are defined.…

Artificial Intelligence · Computer Science 2016-11-03 W. B. Vasantha Kandasamy , Ilanthenral K , Florentin Smarandache