Ring models of atoms, molecules and nanomaterials

Pavel Osmera senior1, Daniel Zuth1, Anna Kucerova1, Pavel Osmera junior2, Monika Dosoudilova1, Jan Muller1, Tomas Marada1, Ladislav Dobrovsky1

1Department of Automation and Computer Science, Technicka 2896/2, Brno 61669, Czech Republic

2Department of Nuclear Medicine, Masaryk Memorial Cancer Institute, Brno 60200, Czech Republic 

Adv. Mater. Lett., 2019, 10 (4), pp 248-252

DOI: 10.5185/amlett.2019.2223

Publication Date (Web): Jan 10, 2019

E-mail: osmera@fme.vutbr.cz, zuth@fme.vutbr.cz, kuceann@gmail.com, osmera@fnusa.cz, dosoudilova@fme.vutbr.cz, xmulle11@vutbr.cz, marada@ fme.vutbr.cz, dobrovsky@ fme.vutbr.cz


The classical approach in particle physics is based on the fact that the electron has some parameters like charge, mass, etc. but does not have a structure. In our calculations, the electron is assumed as structured particle having magnetic properties. VFRT (Vortex Fractal Ring Theory) uses the electron, proton, and neutron as a particle with a toroidal (ring) shape, which is formed by fractal substructures connected to each other by vortex electromagnetic fields. The atomic nucleus can be built from the ring protons and neutrons. Combining knowledge of physical chemistry, evolutionary optimization, 3D graphic, programming in Python, and mathematics makes it possible to create programs for designing new nanostructure models. The first testing proposal for the nanostructure prediction program is limited to carbon structures. The aim was to verify whether the proposed program is capable of generating known carbon nanostructures, such as graphene. The following versions of the program will no longer have this limitation.


Ring models of nanomaterials, topological ring models of atoms and molecules, ring model of carbon, ring model of graphene.

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