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Wave packet propagation through square and triangular patterned circular potential scatterers in graphene

G. M. MilibaevaInstitute of Materials Science of the Academy of Sciences of the Republic of Uzbekistan, Ch. Aytmatov 2B, Tashkent, 100084, UZBEKISTANHammid YusupovKimyo International University in Tashkent, Sh. Rustaveli 156, Tashkent, 100121, UZBEKISTANDiyora BerdiyorovaOryx Universal College, Al Amir 55, Doha, 00000, QATARYayra RakhimovaNational University of Uzbekistan named after Mirzo Ulugbek, Universitet 4, Tashkent, 100174, UZBEKISTANMaksudbek YusupovInstitute of Fundamental and Applied Research, National Research University TIIAME, Kori Niyoziy 39, Tashkent, 100000, UZBEKISTANAndrey ChavesDepartamento de Fisica, Universidade Federal do Ceara, Caixa Postal 6030, 60451-970 Fortaleza, Ceara, Fortaleza, Ceara, 60455-900, BRAZILKh. Yu. RakhimovInstitute of Materials Science of the Academy of Sciences of the Republic of Uzbekistan, Ch. Aytmatov 2B, Tashkent, 100084, UZBEKISTAN
Physica Scriptajournal2025
ABI

Аннотация

Abstract Graphene, a two-dimensional material with a honeycomb lattice, exhibits massless Dirac fermion behavior, giving rise to unique electronic properties such as ultrahigh mobility and Klein tunneling. The motion of these charge carriers can be effectively tuned by introducing electrostatic potential barriers, enabling control over their transmission and scattering behavior. In this study, using the Dirac continuum model combined with the split-operator technique, we investigate the propagation dynamics of wave packets in graphene in the presence of circular potential barriers arranged in square and triangular geometries. Our results reveal a non-monotonic dependence of the wave packet transmission on the number of barrier rows along the propagation direction: the transmission initially decreases as rows of barriers are removed, but then increases again when additional rows are eliminated. To explain the observed nonlinear behavior, the time evolution of the transmission probability is analyzed, providing insight into the interplay between wave packet dynamics and the spatial arrangement of potential barriers. These findings offer a pathway for designing graphene-based devices with tunable transport properties through engineered potential landscapes.

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