Literature DB >> 25746411

Insights into carbon nanotube and graphene formation mechanisms from molecular simulations: a review.

A J Page1, F Ding, S Irle, K Morokuma.   

Abstract

The discovery of carbon nanotubes (CNTs) and graphene over the last two decades has heralded a new era in physics, chemistry and nanotechnology. During this time, intense efforts have been made towards understanding the atomic-scale mechanisms by which these remarkable nanostructures grow. Molecular simulations have made significant contributions in this regard; indeed, they are responsible for many of the key discoveries and advancements towards this goal. Here we review molecular simulations of CNT and graphene growth, and in doing so we highlight the many invaluable insights gained from molecular simulations into these complex nanoscale self-assembly processes. This review highlights an often-overlooked aspect of CNT and graphene formation-that the two processes, although seldom discussed in the same terms, are in fact remarkably similar. Both can be viewed as a 0D → 1D → 2D transformation, which converts carbon atoms (0D) to polyyne chains (1D) to a complete sp(2)-carbon network (2D). The difference in the final structure (CNT or graphene) is determined only by the curvature of the catalyst and the strength of the carbon-metal interaction. We conclude our review by summarizing the present shortcomings of CNT/graphene growth simulations, and future challenges to this important area.

Entities:  

Year:  2015        PMID: 25746411     DOI: 10.1088/0034-4885/78/3/036501

Source DB:  PubMed          Journal:  Rep Prog Phys        ISSN: 0034-4885


  11 in total

1.  Atomic scale simulation of carbon nanotube nucleation from hydrocarbon precursors.

Authors:  Umedjon Khalilov; Annemie Bogaerts; Erik C Neyts
Journal:  Nat Commun       Date:  2015-12-22       Impact factor: 14.919

2.  Self-assembly of endohedral metallofullerenes: a decisive role of cooling gas and metal-carbon bonding.

Authors:  Qingming Deng; Thomas Heine; Stephan Irle; Alexey A Popov
Journal:  Nanoscale       Date:  2016-01-27       Impact factor: 7.790

3.  State-space reduction and equivalence class sampling for a molecular self-assembly model.

Authors:  Daniel M Packwood; Patrick Han; Taro Hitosugi
Journal:  R Soc Open Sci       Date:  2016-07-20       Impact factor: 2.963

Review 4.  Can We Optimize Arc Discharge and Laser Ablation for Well-Controlled Carbon Nanotube Synthesis?

Authors:  Rasel Das; Zohreh Shahnavaz; Md Eaqub Ali; Mohammed Moinul Islam; Sharifah Bee Abd Hamid
Journal:  Nanoscale Res Lett       Date:  2016-11-18       Impact factor: 4.703

5.  In situ Characterization of Nanoparticles Using Rayleigh Scattering.

Authors:  Biswajit Santra; Mikhail N Shneider; Roberto Car
Journal:  Sci Rep       Date:  2017-01-10       Impact factor: 4.379

6.  Simulations of the synthesis of boron-nitride nanostructures in a hot, high pressure gas volume.

Authors:  Predrag S Krstic; Longtao Han; Stephan Irle; Hiromi Nakai
Journal:  Chem Sci       Date:  2018-03-19       Impact factor: 9.825

7.  Room-temperature chemical synthesis of C2.

Authors:  Kazunori Miyamoto; Shodai Narita; Yui Masumoto; Takahiro Hashishin; Taisei Osawa; Mutsumi Kimura; Masahito Ochiai; Masanobu Uchiyama
Journal:  Nat Commun       Date:  2020-05-01       Impact factor: 14.919

8.  Effects of Buffer Gases on Graphene Flakes Synthesis in Thermal Plasma Process at Atmospheric Pressure.

Authors:  Cheng Wang; Ming Song; Xianhui Chen; Dongning Li; Weiluo Xia; Weidong Xia
Journal:  Nanomaterials (Basel)       Date:  2020-02-11       Impact factor: 5.076

9.  Inward growth by nucleation: Multiscale self-assembly of ordered membranes.

Authors:  Jasper Landman; Samia Ouhajji; Sylvain Prévost; Theyencheri Narayanan; Jan Groenewold; Albert P Philipse; Willem K Kegel; Andrei V Petukhov
Journal:  Sci Adv       Date:  2018-06-29       Impact factor: 14.136

10.  Hybrid Organic/Inorganic Nano-I-Beam for Structural Nano-mechanics.

Authors:  Salah A M Elmoselhy
Journal:  Sci Rep       Date:  2019-12-04       Impact factor: 4.379

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