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A parametric study of so-called "super growth" of single-walled carbon nanotubes(SWNTs) was done by using combinatorial libraries of iron/aluminum oxide catalysts. Millimeter-thick forests of nanotubes grew within 10 min, and those grown by…

Materials Science · Physics 2009-11-13 S. Noda , K. Hasegawa , H. Sugime , K. Kakehi , Z. Zhang , S. Maruyama , Y. Yamaguchi

Recently experiments showed that nodal structural defects are readily formed in the synthesis of single-walled carbon nanotubes (SWNTs) and consequently, SWNTs are likely to deviate from well-defined seamless tubular structures. Here, using…

Mesoscale and Nanoscale Physics · Physics 2014-10-02 Young I. Jhon , Woonjo Cho , Seok Lee , Young Min Jhon

Large-scale fully interconnected ring carbon nanotube (CNT) networks were first prepared using thermo chemical vapor deposition in nano-channel network templates of porous anodic alumina. This conductive CNT network film consists of…

Materials Science · Physics 2007-05-23 Zhi-An Ren , Jun Akimitsu

The ultra-low intershell shear strength in carbon nanotubes (CNTs) has been the primary obstacle to applications of CNTs as mechanical reinforcements. In this paper we propose a new CNT-system composed of comprising of coaxial cylindrical…

Materials Science · Physics 2009-03-12 Zhiping Xu , Lifeng Wang , Quanshui Zheng

The current study presents the natural vibrations of single-walled carbon nanotubes (SWCNTs) using the nonlocal theory of elasticity. The study will help to develop nanodevices. The study focuses on the natural vibrations of curved or…

Dynamical Systems · Mathematics 2023-08-08 Shahid Mubasshar

Carbon fiber and graphene-based nanostructures such as carbon nanotubes (CNTs) and defective structures have extraordinary potential as strong and lightweight materials. A longstanding bottleneck has been lack of understanding and…

Materials Science · Physics 2021-10-26 Qi Zhao , Jordan J. Winetrout , Yanxun Xu , Yusu Wang , Hendrik Heinz

We present a pipeline for predicting mechanical properties of vertically-oriented carbon nanotube (CNT) forest images using a deep learning model for artificial intelligence (AI)-based materials discovery. Our approach incorporates an…

Controlled growth, patterning and placement of carbon nanotube (CNT) thin films for electronic applications are demonstrated. The density of CNT films is controlled by optimizing the feed gas composition as well as the concentration of…

Materials Science · Physics 2015-05-18 V. K. Sangwan , V. W. Ballarotto , D. R. Hines , M. S. Fuhrer , E. D. Williams

Transistors made up of carbon nanotubes CNT have demonstrated excellent current-voltage characteristics which outperform some high-grade silicon-based transistors. A continuously tunable energy barrier across semiconductor interfaces is…

MD simulations based on an empirical potential energy surface were used to study the nucleation of bamboo-like carbon nanotubes (BCNTs). The simulations reveal that inner walls of the bamboo structure start to nucleate at the junction…

Materials Science · Physics 2009-11-11 Feng Ding , Kim Bolton , Arne Rosen

An elongation method based on ab initio quantum chemistry approaches is presented. It allows to study electronic structures and coherent electron transportation properties of single-walled carbon nanotubes (SWCNTs) up to 22nm in length…

Materials Science · Physics 2007-05-23 Jun Jiang , Wei Lu , Yi Luo

Exploring the synthesis of novel molecular nanostructures has been in the forefront of material research in the last decade. One of the most interesting nanostructures are single wall carbon nanotubes (SWCNTs). Their catalyst free growth,…

Materials Science · Physics 2009-11-11 Ferenc Simon , Hans Kuzmany

Nanometer thin single-walled carbon nanotube (CNT) films collected from the aerosol chemical deposition reactors have gathered attention for their promising applications. Densification of these pristine films provides an important way to…

A nanoscopic simulation for an acceleration sensor is aimed based on the piezoresistive effect of carbon nanotubes (CNTs). Therefore, a compact model is built from density functional theory (DFT), compared with results of molecular dynamics…

Mesoscale and Nanoscale Physics · Physics 2017-07-04 C. Wagner , S. Hartmann , B. Wunderle , J. Schuster , S. E. Schulz , T. Gessner

Carbon nanotubes (CNT) hold enormous technological promise. It can only be harnessed if one controls in a practical way the CNT chirality, the feature of the tubular carbon topology that governs all the CNT properties---electronic, optical,…

Materials Science · Physics 2014-09-18 Vasilii I. Artyukhov , Evgeni S. Penev , Boris I. Yakobson

A fresh look on carbon-based transistor channel materials like single-walled carbon nanotubes (CNT) and graphene nanoribbons (GNR) in future electronic applications is given. Although theoretical predictions initially promised that GNR…

Materials Science · Physics 2014-03-26 Franz Kreupl

Order(N) Tight-Binding Molecular Dynamics (TBMD) simulations are performed to investigate the thermal stability of (10,10) metallic Single-Walled Carbon Nanotubes (SWCNT). Periodic boundary conditions (PBC) are applied in axial direction.…

Materials Science · Physics 2009-11-13 G. Dereli , B. Sungu , C. Ozdogan

In this study, the synthesis of multi-walled carbon nanotubes (MWCNTs) was carried out by chemical vapor deposition (CVD) using propane as the carbon source and Si as the catalyst support. The effect of CVD process variables such as…

Applied Physics · Physics 2018-08-21 Joydip Sengupta

Raman spectroscopy on carbon nanotubes (CNT) yields a rich variety of information owing to the close interplay between electronic and vibrational properties. In this paper, we review the properties of double wall carbon nanotubes (DWCNTs).…

Materials Science · Physics 2015-06-24 F. Simon , R. Pfeiffer , C. Kramberger , M. Holzweber , H. Kuzmany

We present a novel interpretable machine learning model to accurately predict complex rippling deformations of Multi-Walled Carbon Nanotubes(MWCNTs) made of millions of atoms. Atomistic-physics-based models are accurate but computationally…

Computational Physics · Physics 2021-01-20 Upendra yadav , Shashank Pathrudkar , Susanta Ghosh