Non-Gaussian noise in a colossal magnetoresistive film

Hardner, H. T.; Weissman, M. B.; Jaime, M.; Treece, Randolph E.; Dorsey, Paul; Horwitz, J. S.; Chrisey, Douglas B.

doi:10.1063/1.363844

Cited by 47 publications

(29 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This emergence of a non-Gaussian behavior near the breakdown can be considered a relevant precursor of failure. Experiments performed in different materials near the electrical breakdown confirm this nonGaussianity of fluctuations 29,45,56,57 . Finally, Fig.…”

Section: Details Aboutmentioning

confidence: 67%

Resistance Noise Near to Electrical Breakdown: Steady State of Random Networks as a Function of the Bias

Pennetta

2002

Fluct. Noise Lett.

View full text Add to dashboard Cite

A short review is presented of a recently developed computational approach which allows the study of the resistance noise over the full range of bias values, from the linear regime up to electrical breakdown. Resistance noise is described in terms of two competing processes in a random resistor network. The two processes are thermally activated and driven by an electrical bias. In the linear regime, a scaling relation has been found between the relative variance of resistance fluctuations and the average resistance. The value of the critical exponent is significantly higher than that associated with 1/f noise. In the nonlinear regime, occurring when the bias overcomes the threshold value, the relative variance of resistance fluctuations scales with the bias. Two regions can be identified in this regime: a moderate bias region and a pre-breakdown one. In the first region, the scaling exponent has been found independent of the values of the model parameters and of the bias conditions. A strong nonlinearity emerges in the pre-breakdown region which is also characterized by non-Gaussian noise. The results compare well with measurements of electrical breakdown in composites and with electromigration experiments in metallic lines.

show abstract

Section: Details Aboutmentioning

confidence: 67%

Resistance Noise Near to Electrical Breakdown: Steady State of Random Networks as a Function of the Bias

Pennetta

2002

Fluct. Noise Lett.

View full text Add to dashboard Cite

show abstract

“…20,21 The dimensions of our devices would allow us to sense persistent, discrete two-state fluctuators on a ϳ30 -nm size scale even if the current flow were homogeneous. Nearly static inhomogeneous current flow patterns, evident from noise results on many films, 7,15,17,21,28 would enhance this resolution. Furthermore, the noise in the peak region is statistically not very far from Gaussian in both the layered and alloyed samples, with excess fractional variance of the noise in each octave of roughly 0.02 near T C .…”

Section: Results and Basic Interpretationmentioning

confidence: 99%

“…In contrast films under tensile strain show discrete fluctuators with ⌬R / R of 10 −4 , and sometimes larger, even in film samples with much larger areas and volumes. 7,15,28 The absence of major non-Gaussian effects near T C in most films on NGO could either mean that the current is highly homogeneous, unlike in other LCMO films, or that the fluctuations do not consist of discrete switchers, or both. For our previously reported ablated film on NGO our standard thermodynamic analysis indicates that the discrete switchers found below T C are far too small to show up unless there is gross current inhomogeneity.…”

Section: Results and Basic Interpretationmentioning

confidence: 99%

Role of disorder in phase coexistence in manganites: Noise in layered films

et al. 2005

Self Cite

View full text Add to dashboard Cite

Films of La 2/3 Ca 1/3 MnO 3 were prepared via atomic layer-by-layer epitaxy both as standard solid-solution alloys and as A-site-ordered superlattices of LaMnO 3 and CaMnO 3 layers. The transport properties were similar, although with a shifted and broadened metal-insulator transition temperature T C in the ordered material. Transport noise near T C was also similar, in both cases revealing a narrow peak in noise magnitude versus temperature. The phase coexistence region near T C has little dependence on the intrinsic disorder of the chemical alloy.

show abstract

“…Similar correlation of non-Gaussian electrical noise and first order structural phase change was observed in NiTi thin film as well 18 , outlining an excellent kinetic detector of structural phase transition. The NGC in resistivity noise has been attributed to emergence of a long range correlation in many systems with electronic 24 , structural 18 or magnetic 25 phase transitions. The magnitude of σ (2) is directly associated to a correlation length ξ which, in case of martensitic alloys, characterizes the range of elastic correlation in the system.…”

Section: A Resistivity Fluctuations and Statisticsmentioning

confidence: 99%

Simple kinetic sensor to structural transitions

Chandni

Ghosh²

2010

Phys. Rev. B

View full text Add to dashboard Cite

Driven non-equilibrium structural phase transformation has been probed using time varying resistance fluctuations or noise. We demonstrate that the non-Gaussian component (NGC) of noise obtained by evaluating the higher order statistics of fluctuations, serves as a simple kinetic detector of these phase transitions. Using the martensite transformation in free-standing wires of nickeltitanium binary alloys as a prototype, we observe clear deviations from the Gaussian background in the transformation zone, indicative of the long range correlations in the system as the phase transforms. The viability of non-Gaussian statistics as a robust probe to structural phase transition was also confirmed by comparing the results from differential scanning calorimetry measurements. We further studied the response of the NGC to the modifications in the microstructure on repeated thermal cycling, as well as the variations in the temperature drive rate, and explained the results using established simplistic models based on the different competing time scales. Our experiments (i) suggest an alternative method to estimate the transformation temperature scales with high accuracy, and (ii) establish a connection between the material-specific evolution of microstructure to the statistics of its linear response. Since the method depends on an in-built long-range correlation during transformation, it could be portable to other structural transitions, as well as to materials of different physical origin and size.

show abstract

Non-Gaussian noise in a colossal magnetoresistive film

Abstract: Colossal magnetoresistance of the variable range hopping regime in the manganites

Cited by 47 publications

References 15 publications

Resistance Noise Near to Electrical Breakdown: Steady State of Random Networks as a Function of the Bias

Resistance Noise Near to Electrical Breakdown: Steady State of Random Networks as a Function of the Bias

Role of disorder in phase coexistence in manganites: Noise in layered films

Simple kinetic sensor to structural transitions

Contact Info

Product

Resources

About