Two-level tunnelling model description of thermal conductivity for CuχSn1-χ metallic glasses at low temperature

G. M. Bhuiyan, Md Shahjahan, Issam Ali, S. M Mujibur Rahman

Research output: Contribution to journalArticle

Abstract

The two level tunnelling model is applied to analyze recent experimental data on low temperature thermal conductivity of CuχSn1-χ metallic glasses. An extra scattering mechanism due to Rayleigh is introduced to describe three characteristic regions of conductivity. Model parameters are determined using least-squares fitting procedure. Results derived from the parameters allow one to predict several interesting low temperature properties of metallic glasses in particular the characteristic plateau of conductivity. Theoretical results are also compared and contrasted with those of other metallic and non-metallic systems, and both common and uncommon features that exist between them are discussed.

Original languageEnglish
Pages (from-to)2259-2271
Number of pages13
JournalInternational Journal of Modern Physics B
Volume17
Issue number11
DOIs
Publication statusPublished - Apr 30 2003

Fingerprint

Metallic Glasses
Metallic glass
metallic glasses
Thermal Conductivity
Conductivity
Thermal conductivity
thermal conductivity
Low temperature properties
Least Square Fitting
conductivity
Rayleigh
plateaus
Scattering
Experimental Data
Predict
Temperature
scattering
Model

Keywords

  • Low temperature
  • Metallic glasses
  • Plateau of conductivity
  • Thermal conductivity
  • Two level tunnelling model

ASJC Scopus subject areas

  • Physics and Astronomy (miscellaneous)
  • Condensed Matter Physics
  • Electronic, Optical and Magnetic Materials
  • Statistical and Nonlinear Physics
  • Mathematical Physics

Cite this

Two-level tunnelling model description of thermal conductivity for CuχSn1-χ metallic glasses at low temperature. / Bhuiyan, G. M.; Shahjahan, Md; Ali, Issam; Rahman, S. M Mujibur.

In: International Journal of Modern Physics B, Vol. 17, No. 11, 30.04.2003, p. 2259-2271.

Research output: Contribution to journalArticle

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