The energy spectra of a novel version of graphene‐based Fibonacci superlattices (SL) are calculated. A new quasiperiodical factor is considered. The SL is built of graphene nanoribbons (GNR) and the quasi‐periodicity is formed due to the fact that different ribbons are used as individual elements of the SL and are placed along the lattice growth axis in accordance with the Fibonacci inflation rule. In one case, the SL is composed of smooth‐edges and a metal‐like armchair NR, and we propose to use a metal‐like and a semiconductor armchair NR for another case. It is shown that: (i) the difference in values of the quantized transverse quasi‐momentum of electrons for different NR is fully enough to form an effective quasi‐periodic modulation in the given structure (no additional factors are needed), and the range of the ribbon widths for this purpose is determined; (ii) it is important that this range is suitable for practice. We also analyze the dependence of the energy spectra of the studied structure on the geometric parameters of the superlattice as well as on the external electrostatic potential. Attention is drawn, in particular, that in each Fibonacci generation there is the Dirac superlattice gap. Varying the nanoribbons width one can change the spectra investigated flexibly. The conductance of the structure studied is also calculated. The results obtained can be useful in determining the optimum parameters of devices of the graphene‐based nanoelectronics.
Pumpkin seed flour is a promising raw material for use in the technology of various bakery products. It has a high biological value and valuable amino acid profile. During the technological process of making bread, there are conformational changes in the protein structure. The purpose of the study was to determine the effect of pumpkin seed flour on conformational changes in the structure of protein substances of dough and bread from wheat flour by near-infrared reflection spectroscopy. The protein profile changed to complete when replacing 10% or more of wheat flour because the score for all amino acids was higher than 100%. The utilitarian coefficient indicates the same balance of amino acids in proteins of all samples. As the percentage of substitution increases, the number of amino acids used for anabolic purposes decreases, and these are more fully utilized by the body.
The one-dimensional superlattice (SL) based on a monolayer graphene modulated by the Fermi velocity barriers is considered. We assume that the rectangular barriers are arranged periodically along the SL chain. The energy spectra of the Weyl-Dirac quasi-electrons for this SL are calculated with the help of the transfer matrix method in the continuum model. The Fibonacci quasi-periodic modulation in graphene superlattices with the velocity barriers can be effectively realized by virtue of a difference in the velocity barrier values (no additional factor is needed). And this fact is true for a case of normal incidence of quasi-electrons on a lattice. In contrast to the case of other types of the graphene SL spectra studied reveal the periodic character over all the energy scale and the transmission coefficient doesn't tend asymptotically to unity at rather large energies. The dependence of spectra on the Fermi velocity magnitude and on the external electrostatic potential as well as on the SL geometrical parameters (width of barriers and quantum wells) is analyzed. The obtained results can be used for applications in the graphene-based electronics.
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