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Related papers: Directed Growth of Hydrogen Lines on Graphene: Hig…

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Graphene, a two-dimensional monolayer of sp2-bonded carbon atoms in a honeycomb lattice, possesses exceptional electronic, mechanical, and quantum properties, making it highly attractive for energy storage, spintronics, and…

Materials Science · Physics 2025-12-30 Chien-Hsu Chen , Huan Niu , Hung-Kai Yu , Tsung Te Lin , Yao-Tung Hsu

Diffusion Models represent a significant advancement in generative modeling, employing a dual-phase process that first degrades domain-specific information via Gaussian noise and restores it through a trainable model. This framework enables…

Neural and Evolutionary Computing · Computer Science 2024-11-21 Benedikt Hartl , Yanbo Zhang , Hananel Hazan , Michael Levin

To grow precisely aligned graphene on h-BN without metal catalyst is extremely important, which allows for intriguing physical properties and devices of graphene/h-BN hetero-structure to be studied in a controllable manner. In this report,…

The increasing demand for sustainable energy solutions necessitates advancements in hydrogen storage technologies. This study investigates the hydrogen adsorption characteristics of graphene and a (8,0) carbon nanotube (CNT) decorated with…

Materials Science · Physics 2025-09-16 Thomas Leiner , David Holec

Today graphene nanoribbons and other graphene-based nanostructures can be synthesized with atomic precision. But while investigations have concentrated on straight graphene ribbons of fixed crystal orientation, ribbons with intrinsic…

Materials Science · Physics 2015-01-29 C. G. Rocha , R. Tuovinen , R. van Leeuwen , P. Koskinen

In spite of years of intense research, graphene continues to produce surprising results. Recently, it was experimentally observed that under certain conditions graphene can self-drive its tearing and peeling from substrates. This process…

Mesoscale and Nanoscale Physics · Physics 2018-01-17 Alexandre F. Fonseca , Douglas S. Galvao

Graph Neural Networks (GNNs) typically operate by message-passing, where the state of a node is updated based on the information received from its neighbours. Most message-passing models act as graph convolutions, where features are mixed…

The electronic structure and structural evolution of hydrogenated graphene are investigated by Raman spectroscopy with multiple excitations. The excitation energy dependent saturation effect on the ratio of integrated intensities of D and G…

Materials Science · Physics 2010-12-06 Zhiqiang Luo , Ting Yu , Zhenhua Ni , Sanhua Lim , Jingzhi Shang , Hailong Hu , Lei Liu , Zexiang Shen , Jianyi Lin

Bulk applications of graphene in fields such as advanced composites, conductive ink, and energy storage require cheap and scalable graphene. Fortunately, in the last decade, liquid-phase exfoliation of graphite to give pristine graphene has…

Materials Science · Physics 2016-08-22 Min Yi , Zhigang Shen

We present an atomic-resolution observation and analysis of graphene constrictions and ribbons with sub-nanometer width. Graphene membranes are studied by imaging side spherical aberration-corrected transmission electron microscopy at 80…

Mesoscale and Nanoscale Physics · Physics 2009-08-20 A. Chuvilin , J. C. Meyer , G. Algara-Siller , U. Kaiser

Two-dimensional (2D) materials are poised to revolutionize current solid-state technology with their extraordinary properties. Yet, the primary challenge remains their scalable production. While there have been significant advancements,…

Graph Convolutional Networks (GCNs) have been widely applied in various fields due to their significant power on processing graph-structured data. Typical GCN and its variants work under a homophily assumption (i.e., nodes with same class…

Machine Learning · Computer Science 2021-12-28 Tao Wang , Rui Wang , Di Jin , Dongxiao He , Yuxiao Huang

Graphene is well known to grow as flat sheets aligned with the growth substrate. Oriented graphene structures typically normal to the substrate have recently gained major attention. Most often, normal orientation is achieved in…

Materials Science · Physics 2022-06-07 Subrata Ghosh , S. R. Polaki , M. Kamruddin , Sang Mun Jeong , Kostya , Ostrikov

Hydrogen is one of the prime candidates for clean energy source with high energy density. However, current industrial methods of hydrogen production are difficult to provide hydrogen with high purity, thus hard to meet the requirements in…

Applied Physics · Physics 2021-07-06 Liliang Tian , Humin Duan , Jiaming Luo , Yonghong Cheng , Le Shi

Graphene is attracting vast interest due to its superior electronic and mechanical properties. However, structure and electronic properties of its edge are often neglected, although they are important for nanoscale devices because the edge…

Mesoscale and Nanoscale Physics · Physics 2022-08-25 Takamoto Yokosawa , Masahiro Kamada , Taisuke Ochi , Yuki Koga , Rin Takehara , Masahiro Hara , Tomohiro Matsui

We have investigated by means of first principles calculations the structural and electronic properties of hydrogenated graphene structures with distinct grain boundary defects. Our total energy results reveal that the adsorption of a…

Mesoscale and Nanoscale Physics · Physics 2015-05-27 W. H. Brito , R. Kagimura , R. H. Miwa

A type of line defect (LD) composed of alternate squares and octagons (4-8) as the basic unit is currently an experimentally available topological defect in graphene lattice, which brings some interesting modification to magnetic and…

Computational Physics · Physics 2019-09-10 Zhaoyong Guan , Shuang Ni , Shuanglin Hu

In recent years, liquid metal catalysts have emerged as a compelling choice for the controllable, large-scale, and high-quality synthesis of two-dimensional materials. At present, there is little mechanistic understanding of the intricate…

Large-area graphene is a new material with properties that make it desirable for advanced scaled electronic devices1. Recently, chemical vapor deposition (CVD) of graphene and few-layer graphene using hydrocarbons on metal substrates such…

Materials Science · Physics 2015-05-13 Xuesong Li , Weiwei Cai , Luigi Colombo , Rodney S. Ruoff

Using in situ low-energy electron microscopy and density functional theory, we studied the growth structure and work function of bilayer graphene on Pd(111). Low-energy electron diffraction analysis established that the two graphene layers…

Materials Science · Physics 2013-03-29 Y. Murata , S. Nie , A. Ebnonnasir , E. Starodub , B. B. Kappes , K. F. McCarty , C. V. Ciobanu , S. Kodambaka
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