We present an investigation of the dynamical response for a quantum wire structure with reservoirs. The capacitance, admittance, and the distribution of internal potential and charge density are calculated. Our numerical calculation for internal potential and charge density shows that the induced charge density is mainly distributed in transition regions between the reservoirs and the wire, and that once any quantum channel opens, the potential drop is very sharp and occurs in the transition regions. Small Friedel oscillations in the charge density as well as charge peaks are observed. We show in our model that in the reservoirs the characteristic potentials tend to unity or zero. The results of capacitance and emittance show the resonant peaks due to the opening of an additional channel, and the oscillations are related to the longitudinal states of the quantum wire. For capacitance, a steplike behavior appears as the number of open channels increase, but for emittance such steplike structure is not observed. Furthermore, we found that the emittance curves may lie either below or above capacitance, so the charge transmission may give positive or negative contributions to the emittance.
Articles you may be interested inA closed-form capacitance model for tunnel FETs with explicit surface potential solutions J. Appl. Phys. 116, 094501 (2014); 10.1063/1.4894624Aluminum-oxide-based inversion layer solar cells on n-type crystalline silicon: Fundamental properties and efficiency potential A single-piece analytical equation for the surface potential at the polycrystalline-silicon ͑poly-Si͒ gate of a metal-oxide-semiconductor field-effect transistor is presented, which accounts for the poly-accumulation, poly-depletion, and poly-inversion effects. It is shown that the model accurately describes the physical behavior of the surface potentials, gate charge, and capacitance, with smooth transitions, which has been verified with iterative, explicit, and numerical solutions. The proposed model can be used in implicit or explicit surface-potential-based formulations.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.