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We calculate the electronic compressibility arising from electron-electron interactions for a graphene bilayer within the Hartree-Fock approximation. We show that, due to the chiral nature of the particles in this system, the…

Strongly Correlated Electrons · Physics 2008-04-01 S. Viola Kusminskiy , Johan Nilsson , D. K. Campbell , A. H. Castro Neto

We investigated the stability and mechanical and electronic properties of fifteen metastable mixed $sp^2$-$sp^3$ carbon allotropes in the family of interpenetrating graphene networks (IGNs) using density functional theory (DFT) within the…

Materials Science · Physics 2017-05-01 Yangzheng Lin , Zhisheng Zhao , Timothy A. Strobel , R. E. Cohen

Liquid Argon Time Projection Chamber (LArTPC) detector technology offers a wealth of high-resolution information on particle interactions, and leveraging that information to its full potential requires sophisticated automated reconstruction…

Data Analysis, Statistics and Probability · Physics 2025-06-27 V Hewes , Adam Aurisano , Giuseppe Cerati , Jim Kowalkowski , Claire Lee , Wei-keng Liao , Daniel Grzenda , Kaushal Gumpula , Xiaohe Zhang

The electrochemical hydrogenation of graphene induces a robust and reversible conductor-insulator transition, of strong interest in logic-and-memory applications. However, its mechanism remains unknown. Here we show that it proceeds as a…

The adsorption behavior of ions at liquid-vapor interfaces exhibits several unexpected yet generic features. In particular, energy and entropy are both minimum when the solute resides near the surface, for a variety of ions in a range of…

Statistical Mechanics · Physics 2017-02-08 Suriyanarayanan Vaikuntanathan , Patrick R. Shaffer , Phillip L. Geissler

A series of carbon allotropes with novel optoelectronic and rich topological properties is predicted by systematic first-principles calculations. These fascinating carbon allotropes can be derived by inserting acetylenic linkages…

Materials Science · Physics 2021-08-12 Yan Gao , Chengyong Zhong , Shengyuan A. Yang , Kai Liu , Zhong-Yi Lu

We report accurate quantum calculations of the sieving of Helium atoms by two-dimensional (2D) graphtriyne layers with a new interaction potential. Thermal rate constants and permeances in an ample temperature range are computed and…

Mesoscale and Nanoscale Physics · Physics 2021-04-19 Marta I. Hernández , Massimiliano Bartolomei , José Campos-Martínez

We present a novel potential model for calculating the interaction between a molecule and a single graphene sheet. The dispersion/repulsion, induction, dipole-quadrupole, quadrupole-quadrupole interactions between a fluid molecule and a…

Mesoscale and Nanoscale Physics · Physics 2012-09-20 Xiongce Zhao

We investigate the spatial coarse-graining of interactions in host-guest systems within the framework of the recently proposed Interacting Pair Approximation (IPA). Basically, the IPA method derives local effective interactions from the…

Mesoscale and Nanoscale Physics · Physics 2019-03-29 Giovanni Pireddu , Federico G. Pazzona , Alberto M. Pintus , Andrea Gabrieli , Pierfranco Demontis

Graphene has been recognized as an attractive two-dimensional material for fundamental research and wide applications in electronic and photonic devices owing to its unique properties. The technologies to modulate the properties of graphene…

Optics · Physics 2016-01-26 Yang Tan , Zhen Shang , Shavkat Akhmadaliev , Shengqiang Zhou , Feng Chen

We study electromagnetic scattering and subsequent plasmonic excitations in periodic grids of graphene ribbons. To address this problem, we develop an analytical method to describe the plasmon-assisted absorption of electromagnetic…

Mesoscale and Nanoscale Physics · Physics 2016-11-28 P. A. D. Gonçalves , E. J. C. Dias , Yu. V. Bludov , N. M. R. Peres

Graph neural networks (GNNs) encounter significant computational challenges when handling large-scale graphs, which severely restricts their efficacy across diverse applications. To address this limitation, graph condensation has emerged as…

Machine Learning · Computer Science 2023-12-12 Xinyi Gao , Tong Chen , Yilong Zang , Wentao Zhang , Quoc Viet Hung Nguyen , Kai Zheng , Hongzhi Yin

With a view towards optimizing gas storage and separation in crystalline and disordered nanoporous carbon-based materials, we use ab initio density functional theory calculations to explore the effect of chemical functionalization on gas…

A one-dimensional dielectric grating, based on a simple geometry, is proposed and investigated to enhance light absorption in a monolayer graphene exploiting guided mode resonances. Numerical findings reveal that the optimized configuration…

A great efficacy of molecular quantum chemistry applied to basic graphene problems has been recently demonstrated by the authors when studying the formation of peculiar composites between carbon nanotubes and graphene as well as considering…

Mesoscale and Nanoscale Physics · Physics 2011-02-07 Elena F Sheka , Nadezhda A Popova

The class of 2D carbon allotropes has garnered significant attention due to its exceptional optoelectronic and mechanical properties, crucial for diverse device applications, such as energy storage. This study employs density functional…

Materials Science · Physics 2023-11-20 E. J. A. Santos , K. A. L. Lima , L. A. Ribeiro Junior

In this paper, optical properties of Chiral Graphene Nanoribbons both in longitude and transverse polarization have been studied using density functional theory calculation. It has been shown that the selection rule which have been reported…

Mesoscale and Nanoscale Physics · Physics 2012-05-22 M. Berahman , M. Asad , M. H. Sheikhi

We model the low energy dynamics of graphene in the continuum in terms of a version of Reduced Quantum Electrodynamics restricting fermions to a (2+1)-dimensional brane, whilst photons remain within the (3+1)-dimensional bulk. For charge…

Mesoscale and Nanoscale Physics · Physics 2016-05-25 Saúl Hernández-Ortiz , David Valenzuela , Alfredo Raya , Saúl Sánchez-Madrigal

Graphyne, a single atomic layer structure of the carbon six-member rings connected by one acetilenic linkage, is a promising anode of rechargeable batteries. In this paper, a first-principle study has been carried out on graphyne as a new…

Materials Science · Physics 2021-05-24 E. Shomali , I. Abdolhosseini Sarsari , F. Tabatabaei , MR. Mosaferi , N. Seriani

Representation learning on graphs has emerged as a powerful mechanism to automate feature vector generation for downstream machine learning tasks. The advances in representation on graphs have centered on both homogeneous and heterogeneous…

Machine Learning · Statistics 2020-11-23 Piotr Bielak , Kamil Tagowski , Maciej Falkiewicz , Tomasz Kajdanowicz , Nitesh V. Chawla