The conventional rolled-up model for carbon nanocones assumes that the cone is constructed from a rolled-up graphene sheet joined seamlessly, which predicts five distinct vertex angles. This model completely ignores any effects due to the changing curvature, and all bond lengths and bond angles are assumed to be those for the planar graphene sheet. Clearly, curvature effects will become more important closest to the cone vertex, and especially so for the cones with the smaller apex angles. Here, we construct carbon nanocones which, in the assembled cone, are assumed to comprise bond lengths and bond angles that are, as far as possible, equal throughout the structure at the same distance from the conical apex. The predicted bond angles and bond lengths are shown to agree well with those obtained by relaxing the conventional rolled-up model using Lammps software (version: 11 September 2008). The major objective here is not simply to model physically realisable carbon nanocones for which numerical procedures are far superior, but rather, to produce an improved model that takes curvature effects close to the vertex into account, and from which we may determine an analytical formula which represents an improvement on the conventional rolled-up model.
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http://dx.doi.org/10.3390/nano8080624 | DOI Listing |
Phys Chem Chem Phys
January 2025
School of Mechanical & Vehicle Engineering, Linyi University, Linyi, Shandong 276000, China.
Molecular dynamics simulations demonstrate that regular conical helices of poly(-phenylene) (PPP) chains can be constructed inside the confined space of single-walled carbon nanocones (CNCs). The translocation displacement of the PPP chain combined with the change of the system total potential energy including each energy component and structural parameters of the formed conical helix is discussed to deeply explore the microstructure evolution, driving forces and dynamic mechanisms. In addition, the influence of chain length, cone angle, temperature, chain number, linked position of benzene rings and the form of Lennard-Jones potential on the helical encapsulation is further studied.
View Article and Find Full Text PDFAdv Mater
January 2025
School of Chemistry and Chemical Engineering, Nanjing University, Nanjing, Jiangsu, 210023, China.
Hydrogen evolution reaction (HER), as one of the most advanced methods for the green production of hydrogen, is greatly impeded by inefficient mass transfer. Here we present an efficiently reactant enriched and mass traffic system by integrating high-curvature Pt nanocones with 3D porous TiAl framework to enhance mass transfer rate. Theoretical simulations, in situ Raman spectroscopy and potential-dependent Fourier transform infrared spectroscopy results disclose that the strong local electric field induced by high-curvature Pt can greatly promote the HO supply rate during HER, resulting in ∼1.
View Article and Find Full Text PDFNanomaterials (Basel)
December 2024
Institute of Photonics and Nanotechnology, Faculty of Physics, Vilnius University, Saulėtekio Ave. 3, 10257 Vilnius, Lithuania.
We elaborate a method for determining the 0D-1D nanostructure size by photoluminescence (PL) emission spectrum dependence on the nanostructure dimensions. As observed, the high number of diamond-like carbon nanocones shows a strongly blue-shifted PL spectrum compared to the bulk material, allowing for the calculation of their top dimensions of 2.0 nm.
View Article and Find Full Text PDFJ Mol Graph Model
March 2025
Department of Chemistry, Payame Noor University, P. O. Box 19395-3697, Tehran, Iran. Electronic address:
The density functional theory (DFT) method is applied to investigate the ability of transition metals porphyrins induced in carbon nanocone (TM-PCNC, TM = Ti, Cr, Fe, Co, Ni, Cu, and Zn) for identifying and eliminating undesirable SM molecules from the surrounding. The sulfur mustard is effectively adsorbed onto the surface of nanocones through a chemical process. Based on the DFT calculations, the Ti-PCNC displays an appropriate percentage change in energy gap (%ΔE = 11.
View Article and Find Full Text PDFSci Rep
October 2024
Department of Solids and Structures, School of Engineering, The University of Manchester, Oxford Road, Manchester, M13 9PL, UK.
In the fields of mathematics, chemistry, and the physical sciences, graph theory plays a substantial role. Using modern mathematical techniques, quantitative structure-property relationship (QSPR) modeling predicts the physical, synthetic, and natural properties of substances based only on their chemical composition. For a chemical graph, the temperature of a vertex is a local property introduced by Fajtlowicz (1988).
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