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      Mathematical energy minimization model for joining boron nitride fullerene with several BN nanostructures

      research-article
      Journal of Molecular Modeling
      Springer Berlin Heidelberg
      BN nanotubes, BN fullerene, BN torus, Willmore energy, Calculus of variations

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          Abstract

          Nanoscale materials have gained considerable interest because of their special properties and wide range of applications. Many types of boron nitride at the nanoscale have been realized, including nanotubes, nanocones, fullerenes, tori, and graphene sheets. The connection of these structures at the nanoscale leads to merged structures that have enhanced features and applications. Modeling the joining between nanostructures has been adopted by different methods. Namely, carbon nanostructures have been joined by minimizing the elastic energy in symmetric configurations. In other words, the only considerable curvature in the elastic energy is the axial curvature. Accordingly, because it has nanoscale structures similar to those in carbon, BN can also be joined and connected by using this method. On the other hand, different methods have been proposed to consider the rotational curvature because it has a similar size. Based on that argument, the Willmore energy, which depends on both curvatures, has been minimized to join carbon nanostructures. This energy is used to identify the joining region, especially for a three-dimensional structure. In this paper, we expand the use of Willmore energy to cover the joining of boron nitride nanostructures. Therefore, because catenoids are absolute minimizers of this energy, pieces of catenoids can be used to connect nanostructures. In particular, we joined boron nitride fullerene to three other BN nanostructures: nanotube, fullerene, and torus. For now, there are no experimental or simulation data for comparison with the theoretical connecting structures predicted by this study, which is some justification for the suggested simple model shown in this research. Ultimately, various nanoscale BN structures might be connected by considering the same method, which may be considered in future work.

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          Most cited references28

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          Boron nitride nanotubes and nanosheets.

          Hexagonal boron nitride (h-BN) is a layered material with a graphite-like structure in which planar networks of BN hexagons are regularly stacked. As the structural analogue of a carbon nanotube (CNT), a BN nanotube (BNNT) was first predicted in 1994; since then, it has become one of the most intriguing non-carbon nanotubes. Compared with metallic or semiconducting CNTs, a BNNT is an electrical insulator with a band gap of ca. 5 eV, basically independent of tube geometry. In addition, BNNTs possess a high chemical stability, excellent mechanical properties, and high thermal conductivity. The same advantages are likely applicable to a graphene analogue-a monatomic layer of a hexagonal BN. Such unique properties make BN nanotubes and nanosheets a promising nanomaterial in a variety of potential fields such as optoelectronic nanodevices, functional composites, hydrogen accumulators, electrically insulating substrates perfectly matching the CNT, and graphene lattices. This review gives an introduction to the rich BN nanotube/nanosheet field, including the latest achievements in the synthesis, structural analyses, and property evaluations, and presents the purpose and significance of this direction in the light of the general nanotube/nanosheet developments.
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            Boron Nitride Nanotubes

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              Recent applications of carbon-based nanomaterials in analytical chemistry: critical review.

              The objective of this review is to provide a broad overview of the advantages and limitations of carbon-based nanomaterials with respect to analytical chemistry. Aiming to illustrate the impact of nanomaterials on the development of novel analytical applications, developments reported in the 2005-2010 period have been included and divided into sample preparation, separation, and detection. Within each section, fullerenes, carbon nanotubes, graphene, and composite materials will be addressed specifically. Although only briefly discussed, included is a section highlighting nanomaterials with interesting catalytic properties that can be used in the design of future devices for analytical chemistry. Copyright © 2011 Elsevier B.V. All rights reserved.
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                Author and article information

                Contributors
                N.Alshammari@seu.edu.sa
                Journal
                J Mol Model
                J Mol Model
                Journal of Molecular Modeling
                Springer Berlin Heidelberg (Berlin/Heidelberg )
                1610-2940
                0948-5023
                11 August 2021
                11 August 2021
                2021
                : 27
                : 9
                : 245
                Affiliations
                GRID grid.449598.d, ISNI 0000 0004 4659 9645, Department of Mathematics, College of Science and Theoretical Studies, , Saudi Electronic University, ; Riyadh, Saudi Arabia
                Author information
                http://orcid.org/0000-0003-2382-6553
                Article
                4855
                10.1007/s00894-021-04855-5
                8354904
                34378059
                2cd5751d-ad74-4709-b3a6-b6ca9945acd3
                © The Author(s) 2021

                Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/.

                History
                : 23 February 2021
                : 28 July 2021
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                Original Paper
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                © Springer-Verlag GmbH Germany, part of Springer Nature 2021

                Molecular biology
                bn nanotubes,bn fullerene,bn torus,willmore energy,calculus of variations
                Molecular biology
                bn nanotubes, bn fullerene, bn torus, willmore energy, calculus of variations

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