Moiré patterns and carbon nanotube sorting

IF 2.5 4区 材料科学 Q3 MATERIALS SCIENCE, MULTIDISCIPLINARY Nano Futures Pub Date : 2022-01-11 DOI:10.1088/2399-1984/ac4a27
O. Konevtsova, D. Roshal, S. Rochal
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引用次数: 1

Abstract

Moiré patterns (MPs), arising from the superposition of two lattices with close periods, are tightly related to the physicochemical properties of bilayer nanostructures. Here, we develop the theory of complex MPs emerging in twisted bilayer graphene and planar nets of double-walled nanotubes at significant relative twist and/or deformation of layers. The proposed theory clarifies the physicochemical regularities arising at sorting of single-walled carbon nanotubes (SWCNTs) by organic molecules, which self-assemble in regular coatings on both the tubes and planar graphene. We introduce and consider an outer tubular virtual lattice that is a parent structure for the deposited coating and due to this fact, its existence is crucial for the coating formation. As we show, such outer lattices exist only for successfully sorted SWCNTs and the superposition between the outer lattice and SWCNT forms a specific long-period MP. We explain known experimental results of SWCNT sorting by molecules of flavin group, poly(9,9-dioctylfluorene-2,7-diyl), and poly [(m-phenylenevinylene)-alt-(p-phenylenevinylene)]. Also, our approach points out other organic molecules and polymers suitable for effective carbon nanotube sorting.
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波纹模式和碳纳米管分选
莫尔条纹(MP)是由两个周期相近的晶格叠加而成,与双层纳米结构的物理化学性质密切相关。在这里,我们发展了在扭曲的双层石墨烯和双壁纳米管的平面网中,在层的显著相对扭曲和/或变形下出现的复杂MP的理论。所提出的理论阐明了单壁碳纳米管(SWCNTs)被有机分子分选时产生的物理化学规律,有机分子在管和平面石墨烯上的规则涂层中自组装。我们引入并考虑了一个外管状虚拟晶格,它是沉积涂层的母体结构,由于这一事实,它的存在对涂层的形成至关重要。正如我们所表明的,这种外晶格只存在于成功分选的SWCNT中,外晶格和SWCNT之间的叠加形成了一个特定的长周期MP。我们解释了已知的通过黄素基团、聚(9,9-二辛基芴-2,7-二基)和聚[(间-亚苯基)-alt-(对-亚苯基)]分子分选SWCNT的实验结果。此外,我们的方法还指出了适用于有效碳纳米管分选的其他有机分子和聚合物。
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来源期刊
Nano Futures
Nano Futures Chemistry-General Chemistry
CiteScore
4.30
自引率
0.00%
发文量
35
期刊介绍: Nano Futures mission is to reflect the diverse and multidisciplinary field of nanoscience and nanotechnology that now brings together researchers from across physics, chemistry, biomedicine, materials science, engineering and industry.
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