Angel Jose Marzocca

Prof. Dr. Angel Jose Marzocca

orcid

Research Focus & Metrics

Academic Career Length

44Years (1983-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 October 2007 in Applied Surface Science
Verified
Journal Article
Closed access
AFAlejandro De Falco
Alejandro De Falco
SGSilvia Goyanes
Silvia Goyanes
GRGerardo H. Rubiolo
Gerardo H. Rubiolo
IMIñaki Mondragon
Iñaki Mondragon
AMAngel Jose Marzocca
Angel Jose Marzocca

1 August 2004 in Polymer
Verified
Journal Article
Closed access
WSW. Salgueiro
W. Salgueiro
AMAngel Jose Marzocca
Angel Jose Marzocca
ASAlberto Somoza
Alberto Somoza
Giovanni ConsolatiGiovanni Consolati
Giovanni Consolati
SCSilvina Cerveny
Silvina Cerveny
SGSilvia Goyanes
Silvia Goyanes

1 July 2010 in Materials Science and Engineering: A
Verified
Journal Article
Closed access
STSebastián Tognana
Sebastián Tognana
WSWalter Salgueiro
Walter Salgueiro
ASAlberto Somoza
Alberto Somoza
AMAngel Jose Marzocca
Angel Jose Marzocca

30 June 2003 in Physical Review E
Verified
Journal Article
Closed access
PDF file
FPF. Peruani
F. Peruani
GSG. Solovey
G. Solovey
III. M. Irurzun
I. M. Irurzun
EME. E. Mola
E. E. Mola
AMAngel Jose Marzocca
Angel Jose Marzocca
JVJ. L. Vicente
J. L. Vicente
This paper addresses the problem of dielectric breakdown in composite materials. The dielectric breakdown model was generalized to describe dielectric breakdown patterns in conductor-loaded composites. Conducting particles are distributed at random in the insulating matrix, and the dielectric breakdown propagates according to new rules to take into account electrical properties and particle size. Dielectric breakdown patterns are characterized by their fractal dimension D and the parameters of the Weibull distribution. Studies are carried out as a function of the fraction of conducting inhomogeneities, p. The fractal dimension D of electrical trees approaches the fractal dimension of a percolation cluster when the fraction of conducting particles approximates the percolation limit.

23 March 2006 in Journal of Applied Polymer Science
Verified
Journal Article
Closed access
PDF file
AMAngel Jose Marzocca
Angel Jose Marzocca
Marcela MansillaMarcela Mansilla
Marcela Mansilla