By Josef Sikula, Michael Levinshtein
A dialogue of lately built experimental equipment for noise study in nanoscale digital units, performed via experts in delivery and stochastic phenomena in nanoscale physics. The technique defined is to create tools for experimental observations of noise assets, their localization and their frequency spectrum, voltage-current and thermal dependences. Our present wisdom of size tools for mesoscopic units is summarized to spot instructions for destiny learn, regarding downscaling results.
The instructions for destiny study into fluctuation phenomena in quantum dot and quantum twine units are precise. Nanoscale digital units would be the uncomplicated elements for electronics of the twenty first century. From this perspective the signal-to-noise ratio is an important parameter for the machine software. because the noise can also be a high quality and reliability indicator, experimental equipment may have a large software sooner or later.
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Additional info for Advanced Experimental Methods for Noise Research in Nanoscale Electronic Devices
Rev. Lett. 81 (1998) 1449. M. Balandin(editor), American Scientific Publishers,(2002) 367.  B. , Surf. Sci. 280 (1993) 106. 1/f SPECTRA AS A CONSEQUENCE OF THE RANDOMNESS OF VARIANCE G. com Abstract: It is a general conviction that any measured noise be stochastically continuous and weak stationary. Therefore, standard noise analysis uses the substitution of ensemble averages by time averages, and it considers likewise the autocorrelation function and the sample spectrum as an unbiased and complete characterization of the measured process.
The measured spectrum is a statistical estimate with well known properties. As a formal consequence of this standard model we should expect the measured spectra to approach white noise for sufficiently large sampling intervals and measuring times. In contrast, for up-to-now unknown reasons one mostly measures 1/f noise. g. mixtures of processes with distributed time constants. However, the 1/f spectra seem to increase up to arbitrarily low frequencies, which can hardly be explained within the paradigm of a standard noise process.
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