1995
DOI: 10.1109/20.489824
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Telegraph noise in silver-Permalloy giant magnetoresistance test structures

Abstract: We report noise data for discontinuous Ni82Fe18/Ag multilayer test structures. Examination of the noise data for this material indicates that random telegraph fluchator (RTF) noise of the resistance is the predominant noise source. Analysis of the RTF noise in these structures presents an opportunity to estimate magnetic domain or magnetic cluster strengths and the domain-domain interactions.

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Cited by 31 publications
(14 citation statements)
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“…10 The unannealed NiFe/Ag is potentially more attractive for applications since the annealing step is avoided. It may also decrease the noise previously observed in small devices, 8,9,11 if the granular characteristics are eliminated. Hylton et al 10 studied unannealed arrays of 2 m dots consisting of two NiFe layers separated by a Ag spacer.…”
Section: Introductionmentioning
confidence: 99%
“…10 The unannealed NiFe/Ag is potentially more attractive for applications since the annealing step is avoided. It may also decrease the noise previously observed in small devices, 8,9,11 if the granular characteristics are eliminated. Hylton et al 10 studied unannealed arrays of 2 m dots consisting of two NiFe layers separated by a Ag spacer.…”
Section: Introductionmentioning
confidence: 99%
“…First, we consider the observed 1/f -like spectrum: It is known 15 that resistance fluctuations from individual magnetic domains can be observed in the low-frequency resistance noise of small NiFe/Ag multilayer structures. For micrometersized devices, single domain reorientations result in discrete changes in device resistance on the order of 1 m⍀.…”
Section: Rapid Communicationsmentioning
confidence: 99%
“…Both the quasi-equilibrium thermal noise and the Barkhausen noise provide information about the size of the magnetic domains and the processes by which they align [4]- [7]. In this paper, we combine measurements of fine structure in the ac response of a particular GMR sensor with measurements of noise spectra and non-Gaussian statistics to obtain such information on a particular sensor.…”
Section: Introductionmentioning
confidence: 98%