Publication Cover
High Pressure Research
An International Journal
Volume 28, 2008 - Issue 1
40
Views
2
CrossRef citations to date
0
Altmetric
Original Articles

High pressure studies on the electrical resistivity of As–Te–bond Si glasses and the effect of network topological thresholds

, , &
Pages 55-62 | Received 02 Nov 2007, Published online: 10 Mar 2008
 

Abstract

The variation of resistivity in an amorphous As30Te70−x Si x system of glasses with high pressure has been studied for pressures up to 8 GPa. It is found that the electrical resistivity and the conduction activation energy decrease continuously with increase in pressure, and samples become metallic in the pressure range 1.0–2.0 GPa. Temperature variation studies carried out at a pressure of 0.92 GPa show that the activation energies lie in the range 0.16–0.18 eV. Studies on the composition/average co-ordination number ⟨ r⟩ dependence of normalized electrical resistivity at different pressures indicate that rigidity percolation is extended, the onset of the intermediate phase is around ⟨ r⟩=2.44, and completion at ⟨ r⟩=2.56, respectively, while the chemical threshold is at ⟨ r⟩=2.67. These results compare favorably with those obtained from electrical switching and differential scanning calorimetric studies.

Acknowledgements

Deepti Verma is grateful to M. Anbarasu for valuable help and management of M.S. Ramaiah College for their support and encouragement.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 1,965.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.