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Application of graphene-type materials in electrocatalysis is a topic of growing scientific and technological interest. A tremendous amount of research has been carried out in the field of oxygen electroreduction, particularly with respect…

Materials Science · Physics 2018-05-23 Jerzy K. Zak , Enrico Negro , Iwona A. Rutkowska , Beata Dembinska , Vito Di Noto , Pawel J. Kulesza

Machine learning methods have a long history of applications in high energy physics (HEP). Recently, there is a growing interest in exploiting these methods to reconstruct particle signatures from raw detector data. In order to benefit from…

High Energy Physics - Phenomenology · Physics 2022-03-17 Javier Duarte , Jean-Roch Vlimant

Using the density-functional-based tight-binding method we performed a systematic comparative study of stability, structural and electronic properties for 12 various types of graphene allotropes, which are likely candidates for engineering…

Materials Science · Physics 2015-05-20 A. N. Enyashin , A. L. Ivanovskii

Monoatomic layers of graphite can be electrically contacted and used as building blocks for new promising devices. These experiment are today possible thanks to the fact that very thin graphite can be identified on a dielectric substrate…

Mesoscale and Nanoscale Physics · Physics 2008-08-21 S. Roddaro , P. Pingue , V. Piazza , V. Pellegrini , F. Beltram

Graphene and graphene-based materials exhibit exceptional optical and electrical properties with great promise for novel applications in light detection. However, several challenges prevent the full exploitation of these properties in…

Materials Science · Physics 2018-09-20 Adolfo De Sanctis , Jake D. Mehew , Monica F. Craciun , Saverio Russo

Monatomic metal (e.g. silver) structures could form preferably at graphene edges. We explore their structural and electronic properties by performing density functional theory based first-principles calculations. The results show that…

Mesoscale and Nanoscale Physics · Physics 2017-09-13 Ning Wei , Cheng Chang , Hongwei Zhu , Zhiping Xu

This study presents a deep learning approach to predicting structural and electronic properties of materials using Graph Neural Networks (GNNs). Leveraging data from the Materials Project database, we construct graph representations of…

Disordered Systems and Neural Networks · Physics 2024-12-20 Selva Chandrasekaran Selvaraj

Molecular dynamics (MD) simulations were performed to study the formation process of nanopores in a suspended graphene sheet irradiated by using energetic ions though a mask. By controlling the ion parameters including mass, energy and…

Mesoscale and Nanoscale Physics · Physics 2016-03-10 Weisen Li , Li Liang , Shijun Zhao , Shuo zhang , Jianming Xue

Laboratory measurements are used to constrain the dielectric tensor for graphite, from microwave to X-ray frequencies. The dielectric tensor is strongly anisotropic even at X-ray energies. The discrete dipole approximation is employed for…

Astrophysics of Galaxies · Physics 2016-11-09 B. T. Draine

Numerous experiments showed that on cold compression graphite transforms into a new superhard and transparent allotrope. Several structures with different topologies have been proposed for this phase. While experimental data are consistent…

Computational Physics · Physics 2012-07-24 Salah Eddine Boulfelfel , Artem R. Oganov , Stefano Leoni

We analyze the effect of twists on the electronic structure of configurations of infinite stacks of graphene layers. We focus on three different cases: an infinite stack where each layer is rotated with respect to the previous one by a…

Strongly Correlated Electrons · Physics 2019-11-26 Tommaso Cea , Niels R. Walet , Francisco Guinea

Today the applications of nuclear physics span a very broad range of topics and fields. This review discusses a number of aspects of these applications, including selected topics and concepts in nuclear reactor physics, nuclear fusion,…

Nuclear Theory · Physics 2017-01-18 Anna C. Hayes

The detailed analysis of the problem of possible magnetic behavior of the carbon-based structures was fulfilled to elucidate and resolve (at least partially) some unclear issues. It was the purpose of the present paper to look somewhat more…

Strongly Correlated Electrons · Physics 2013-03-26 A. L. Kuzemsky

Knowledge in materials science is widely dispersed across extensive scientific literature, posing significant challenges to the efficient discovery and integration of new materials. Traditional methods, often reliant on costly and…

Computation and Language · Computer Science 2025-05-16 Yanpeng Ye , Jie Ren , Shaozhou Wang , Yuwei Wan , Imran Razzak , Bram Hoex , Haofen Wang , Tong Xie , Wenjie Zhang

Magnetic materials and nanostructures based on carbon offer unique opportunities for future technological applications such as spintronics. This article reviews graphene-derived systems in which magnetic correlations emerge as a result of…

Mesoscale and Nanoscale Physics · Physics 2010-04-13 Oleg V. Yazyev

Connected networks are a fundamental structure of neurobiology. Understanding these networks will help us elucidate the neural mechanisms of computation. Mathematically speaking these networks are `graphs' - structures containing objects…

Neurons and Cognition · Quantitative Biology 2020-10-20 Carl J. Nelson , Stephen Bonner

Amongst the wide spectrum of potential applications of graphene, ranging from transistors and chemical-sensors to nanoelectromechanical devices and composites, the field of photonics and optoelectronics is believed to be one of the most…

We present a review of the electronic compressibility of monolayer and bilayer graphene. We focus on describing theoretical calculations of the effects of electron--electron interactions and various types of disorder, and also give a…

Mesoscale and Nanoscale Physics · Physics 2015-06-04 D. S. L. Abergel

Editorial of a special issue on dark matter & modified gravity, distributed across the journals Studies in History and Philosophy of Modern Physics and Studies in History and Philosophy of Science. Published version of the open access…

History and Philosophy of Physics · Physics 2022-02-24 Niels C. M. Martens , Miguel Ángel Carretero Sahuquillo , Erhard Scholz , Dennis Lehmkuhl , Michael Krämer

Graphene nanoribbons (GNRs) make up an extremely interesting class of materials. On the one hand GNRs share many of the superlative properties of graphene, while on the other hand they display an exceptional degree of tunability of their…

Materials Science · Physics 2018-03-22 Martina Corso , Eduard Carbonell-Sanromà , Dimas G. de Oteyza
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