daohang fenxiangbox searchbox qikanlogonew daohangnew searchboxnew navrightzone footerzone paper

Computation of surface effects and its influence to critical magnetic field in materials AITranslate

Gadjah Mada University; Gadjah Mada University; Gadjah Mada University; Ahmad Dahlan University
AITranslate
Publisher: Elsevier
Share Citation Information Add to Favorites

    Scan to share on WeChat or Moments

Use WeChat scan.
Share with WeChat friends or Moments

Abstract AITranslate

This paper presents one kind of numerical method for investigating a problems related to the surface effects and surface characterization of materials. The aim of this paper is to show development of technique, which is sufficiently simple but effective to compute the surface critical effects of materials. We study such problems on the frame work of the Ginzburg–Landau equations. We choose nucleation field (Hc3) and the formation of a superconducting state in isotropic type II superconductors situated in magnetic fields, whose magnitude between Hc2 and Hc3, as our physical case. Firstly we introduce the detailed variational approach which is close to the problem of finding the highest magnetic field for which the superconducting sheath states nucleates at the surface of the specimen. By considering the surface effect we can linearise the Ginzburg–Landau equation to get such kind of equation which is Schrödinger’s equation like. We then describe a method for choosing a suitable trial function, which represents the behavior of superconducting order parameter. With Raleigh–Ritz principle the Eigen value of ground state which is related with critical magnetic field Hc3 at which nucleation on the surface appears found computationally thus the methods used in this paper is useful in computational materials. The numerical relation of Hc2 is represented by h with ε that we have found, can be used to predict the nucleation field on specimen’s surface. Beside that by considering angular variation of external magnetic field we find the relation of Hc3 with Hc2 fulfill Hc3 = 1.7Hc2 and we show that our results are in agreement with physical argument.

KeyWords AITranslate

No data

Basic Information:

DOI:https://doi.org/10.1016/j.commatsci.2010.01.039

Chinese Library Classification Number:

Citation Information:

This paper presents one kind of numerical method for investigating a problems related to the surface effects and surface characterization of materials. The aim of this paper is to show development of technique, which is sufficiently simple but effective to compute the surface critical effects of materials. We study such problems on the frame work of the Ginzburg–Landau equations. We choose nucleation field (Hc3) and the formation of a superconducting state in isotropic type II superconductors situated in magnetic fields, whose magnitude between Hc2 and Hc3, as our physical case. Firstly we introduce the detailed variational approach which is close to the problem of finding the highest magnetic field for which the superconducting sheath states nucleates at the surface of the specimen. By considering the surface effect we can linearise the Ginzburg–Landau equation to get such kind of equation which is Schrödinger’s equation like. We then describe a method for choosing a suitable trial function, which represents the behavior of superconducting order parameter. With Raleigh–Ritz principle the Eigen value of ground state which is related with critical magnetic field Hc3 at which nucleation on the surface appears found computationally thus the methods used in this paper is useful in computational materials. The numerical relation of Hc2 is represented by h with ε that we have found, can be used to predict the nucleation field on specimen’s surface. Beside that by considering angular variation of external magnetic field we find the relation of Hc3 with Hc2 fulfill Hc3 = 1.7Hc2 and we show that our results are in agreement with physical argument.

quote

GB/T 7714-2015 [1] Fahrudin Nugroho, Pekik Nurwantoro, S.U. Agung Bambang, et al. Computational Materials Science, 2010(49). DOI:10.1016/j.commatsci.2010.01.039.
MLA [1] Fahrudin Nugroho, et al., Computational Materials Science, no. 49, 2010, https://doi.org/10.1016/j.commatsci.2010.01.039.
APA [1] Fahrudin Nugroho, Pekik Nurwantoro, S.U. Agung Bambang, & K. Dian Artha. (2010). Computational Materials Science(49). https://doi.org/10.1016/j.commatsci.2010.01.039
IEEE [1] Fahrudin Nugroho, Pekik Nurwantoro, S.U. Agung Bambang, and K. Dian Artha, Computational Materials Science, no. 49, 2010, doi: 10.1016/j.commatsci.2010.01.039.