Please use this identifier to cite or link to this item: https://repository.sustech.edu/handle/123456789/18806
Title: Super Conducting Hopping Mechanism and Flux Quantization on the Basis of Generalized Statistical Physical Model
Other Titles: آلية القفز في الموصل الفائق و تكميم الفيض علي أساس نموذج الفيزياء الإحصائية المعممة
Authors: ELameen, Gada Alhindi Saad
Supervisor, -Rawia Abd Elgani
Co-Supervisor, -Mubarak Dirar Abd
Keywords: Hopping Mechanism
Statistical Physical Model
آلية القفز
Issue Date: 8-Oct-2017
Publisher: Sudan University of Science and Technology
Citation: ELameen, Gada Alhindi Saad .Super Conducting Hopping Mechanism and Flux Quantization on the Basis of Generalized Statistical Physical Model /Gada Alhindi Saad ELameen ;Rawia Abd Elgani.- Khartoum: Sudan University of Science and Technology, college of Science, 2017 .-91p. :ill. ;28cm .- PhD
Abstract: Super conductivity is one of the most important physic phenomenons that has a wide variety of applications in technology. It was successfully described by BCS theory. But recently some materials that act as a superconductor at higher temperatures, changes critical temperature due to the effect of pressure or isotope mass. This cannot be explained by BCS model. Some researchers suggest hoping mechanism for explaining high temperature super conductor’s behavior. But unfortunately the models proposed are complex and incomplete. The aim of this work is to use the generalized statistical physical model proposed by some researchers was used to explain the conditions that lead to hopping when kinetic energy exceeds coulomb potential, which agrees with that proposed by Hubbard model. The hopping also proved to take place below critical temperature, while it does not exist above this critical temperature. The hopping is also destroyed when magnetic field exceeds certain critical value. The flux is also quantized with in the frame work of this models. The results obtained by this model agree with observations and previous modelsThus one can conclude that generalized statistical model can successfully describe some superconducting phenomena
Description: Thesis
URI: http://repository.sustech.edu/handle/123456789/18806
Appears in Collections:PhD theses : Science

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