Nonlinear dynamics time series analysis of chaotic current oscillations in a semi-insulating GaAs sample

Please use this identifier to cite or link to this item: http://dspace.mediu.edu.my:8181/xmlui/handle/123456789/3468

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DC Field	Value	Language
dc.creator	Silva R.L. da	-
dc.creator	Rubinger R.M.	-
dc.creator	Oliveira A.G. de	-
dc.creator	Ribeiro G.M.	-
dc.date	2002	-
dc.date.accessioned	2013-05-30T02:02:20Z	-
dc.date.available	2013-05-30T02:02:20Z	-
dc.date.issued	2013-05-30	-
dc.identifier	http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0103-97332002000200047	-
dc.identifier	http://www.doaj.org/doaj?func=openurl&genre=article&issn=01039733&date=2002&volume=32&issue=2a&spage=412	-
dc.identifier.uri	http://koha.mediu.edu.my:8181/jspui/handle/123456789/3468	-
dc.description	We have carried out our experiments on a semi-insulating GaAs sample grown by low temperature Molecular Beam Epitaxy. Three parameters were used to fine tune the experiments, namely, temperature, illumination, and applied bias. We have used powerful tools of time series analysis in order to assess the embedding dimension through near false nearest neighbors. We have also measured the maximum Lyapunov exponent and the correlation dimension [1]. The main contribution was in presenting new experimental data and its analysis which presents self-generated chaos.	-
dc.publisher	Sociedade Brasileira de Física	-
dc.source	Brazilian Journal of Physics	-
dc.title	Nonlinear dynamics time series analysis of chaotic current oscillations in a semi-insulating GaAs sample	-
Appears in Collections:	Physics and Astronomy

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