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Percolation in Borosilicate Glass Matrix Composites Containing Antimony‐Doped Tin Oxide Segregated Networks. Part II: Examination of Electrical Behavior Using Impedance Spectroscopy
Author(s) -
Pruyn Timothy L.,
Gerhardt Rosario A.
Publication year - 2014
Publication title -
journal of the american ceramic society
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.9
H-Index - 196
eISSN - 1551-2916
pISSN - 0002-7820
DOI - 10.1111/jace.12902
Subject(s) - borosilicate glass , materials science , dielectric spectroscopy , composite material , tin oxide , nanocomposite , percolation threshold , scanning electron microscope , percolation (cognitive psychology) , dielectric , glass microsphere , spectroscopy , nanoparticle , oxide , electrical resistivity and conductivity , nanotechnology , chemical engineering , metallurgy , optoelectronics , electrode , chemistry , electrical engineering , engineering , biology , quantum mechanics , electrochemistry , physics , neuroscience , microsphere
Glass nanocomposites, fabricated using borosilicate glass microspheres and antimony tin oxide ( ATO ) nanoparticles, were previously reported to have formed segregated networks at the boundaries of the glass particles. This resulted in an electrically conducting composite at low volume fractions (~0.5–0.8 vol%) of ATO nanoparticles. The wide range of electrical response in these borosilicate glass composites containing networks of varying concentration of ATO was examined using impedance spectroscopy. The electrical resistance of these composites varied over a range of around 12 orders of magnitude and exhibited several different types of insulator and conductor behavior. The formation of the ATO network was identified and tracked by scanning electron microscopy images and energy dispersive X‐ray spectroscopy ( EDS ) scans. Detailed impedance spectroscopy analysis using all of the dielectric functions (impedance, permittivity, electric modulus, and admittance) was found to be an excellent method for detecting the development of the network and the effect that processing variables can have on its formation and the overall electrical properties of the nanocomposites.