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Wave-Packet Transport in Graphene Under Asymmetric Electrostatic Arrays: Geometry-Tunable Confinement

Khakimjan ButanovDepartment of Information Technology and Mathematics, Tashkent International University of Education, Tashkent 100207, UzbekistanMaksudbek BaydjanovDepartment of Information Technology and Mathematics, Tashkent International University of Education, Tashkent 100207, UzbekistanHammid YusupovDepartment of Exact Sciences, Kimyo International University in Tashkent, Tashkent 100121, UzbekistanKomiljon BobojonovDepartment of Physics, Urgench State University Named After Abu Rayhan Biruni, Urgench 220100, UzbekistanMaksudbek YusupovDepartment of Digital Electronics and Microelectronics, Tashkent State Technical University, Tashkent 100095, UzbekistanAndrey ChavesDepartment of Physics, Universidade Federal do Ceará, Caixa Postal 6030, Campus do Pici, Fortaleza 60455-900, CE, BrazilKh. Yu. RakhimovInstitute of Materials Science, Uzbekistan Academy of Sciences, Tashkent 100084, Uzbekistan
Physicsjournal2026en
ABI

Abstract

We investigate time-resolved wave-packet transport in monolayer graphene patterned with asymmetric arrays of circular electrostatic scatterers. Using the Dirac continuum model with a split-operator scheme, we track how transmission evolves with scatterer radius and polarity sequence. To this end, we consider three potential configurations (Samples 1–3). The results reveal a geometry-controlled crossover from near-ballistic propagation at small radii to interference-dominated backscattering at large radii. Sample 1, where the potential exhibit two parallel lines of circles, each line sharing the same potential sign, preserves the highest transmission. Conversely, in Sample 3, where potential signs are intercalated between circles of the same line, the dwell time increases, which produces stronger confinement. As the radius increases, pronounced temporal oscillations emerge due to repeated internal reflections (similar to Fabry–Pérot interferometer), and the radius dependence of the saturated transmission probability exhibits anti-resonant dips that are tunable by geometry and potential magnitude. These behaviors establish simple design rules for graphene nanodevices: small-radius Sample 1 for high-throughput transport, Sample 2 (with inverted potential signs as compared to Sample 1) for broadband suppression, and Sample 3 for finely tunable, interference-based confinement.

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