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  • 1
    Electronic Resource
    Electronic Resource
    [S.l.] : American Institute of Physics (AIP)
    Review of Scientific Instruments 71 (2000), S. 2928-2932 
    ISSN: 1089-7623
    Source: AIP Digital Archive
    Topics: Physics , Electrical Engineering, Measurement and Control Technology
    Notes: A gas sensing device based on a thermal wave resonator cavity is outlined. It is experimentally tested by monitoring the presence of several hydrocarbon vapors in air via the measurement of the thermal diffusivity. It is also shown that its time-dependent response may be used to follow the vapor diffusion. It is shown that its characteristic response time is linearly correlated to the thermal diffusivity value of the mixture. The steps toward the development of a practical sensing device are further discussed. © 2000 American Institute of Physics.
    Type of Medium: Electronic Resource
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  • 2
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Nuclear Inst. and Methods in Physics Research, B 80-81 (1993), S. 1464-1467 
    ISSN: 0168-583X
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Physics
    Type of Medium: Electronic Resource
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  • 3
    Electronic Resource
    Electronic Resource
    Amsterdam : Elsevier
    Vacuum 41 (1990), S. 1676-1679 
    ISSN: 0042-207X
    Source: Elsevier Journal Backfiles on ScienceDirect 1907 - 2002
    Topics: Mechanical Engineering, Materials Science, Production Engineering, Mining and Metallurgy, Traffic Engineering, Precision Mechanics , Physics
    Type of Medium: Electronic Resource
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  • 4
    Electronic Resource
    Electronic Resource
    Springer
    Journal of low temperature physics 60 (1985), S. 73-84 
    ISSN: 1573-7357
    Source: Springer Online Journal Archives 1860-2000
    Topics: Physics
    Notes: Abstract Isotherms of neon adsorbed on compressed exfoliated graphite were measured, using a standard volumetric method, in the temperature interval of 12–24 K for the four first layers. The critical temperatures for the first three layers were determined to be 16.0±1.0, 19.0±1.0 K, and 18.0±1.0 K, respectively. From the isotherms, the isosteric heats of adsorption were calculated as a function of coverage, indicating some interesting features, which may be attributed to possible phase transitions. The isosteric heat of adsorption for the fourth layer on,Q st/R=.275 K, is comparable to the three-dimensional latent heat of sublimation 256 K at the triple point. The binding energies for the first, second, and third layers were obtained from the isosteric heats as V → 0, yielding 302.5, 237.5, and 227.5 K, respectively. The differential molar entropies and internal molar energies were also calculated as a function of coverage. The possibility of a coexistence region with two solids having different structures in the phase diagram for the first layer is discussed. Whenever possible, the results are compared with theoretical evaluations and previous experimental data.
    Type of Medium: Electronic Resource
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  • 5
    Electronic Resource
    Electronic Resource
    Chichester [u.a.] : Wiley-Blackwell
    Surface and Interface Analysis 20 (1993), S. 1047-1050 
    ISSN: 0142-2421
    Keywords: Chemistry ; Polymer and Materials Science
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Physics
    Notes: The artificial neural network (ANN) approach was applied to the identification of Auger electron spectral patterns. The ANN structure employed was the counter-propagation architecture with an unsupervised learning algorithm. For training such a network, it is only necessary to provide a data set with samples of the patterns to be recognized, and the network itself will extract the relevant statistical information to organize similar patterns into specific classes. We used a training data set of five different Auger spectra (Fe, Au, Si, Sn, Cu) to which a random fluctuation of up to 5% of the highest peak was added. To the test set, however, the added fluctuation was up to 50% and we observed that the network was able to identify precisely and test spectrum after only a few training sessions. The ANN synapses can be interpreted as the average spectra of the training set for each specific class, tending to zero fluctuation spectra as the number of training samples becomes large. The results obtained show that even by using an extremely simple ANN structure the classification of single-element Auger spectra was made easy also in the case of extremely noisy spectra.
    Additional Material: 6 Ill.
    Type of Medium: Electronic Resource
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  • 6
    Electronic Resource
    Electronic Resource
    Chichester [u.a.] : Wiley-Blackwell
    Surface and Interface Analysis 23 (1995), S. 809-814 
    ISSN: 0142-2421
    Keywords: Chemistry ; Polymer and Materials Science
    Source: Wiley InterScience Backfile Collection 1832-2000
    Topics: Physics
    Notes: Neural pattern recognition was used to analyse the low-energy Auger spectra of a thermally annealed Si/Ni/Si layered structure measured during the acquisition of a depth profile. The purpose was to gain information about the chemical state of the elements at the interfaces by processing the data in a way quite similar to conventional target factor analysis (TFA). The new approach, however, has some important advantages: no standards are required, it is extremely fast and it is fully automatic. In principle, there is only one arbitrary parameter, the vigilance parameter ρ, which sets a threshold for the level of similarity required for assuming two spectra as belonging to the same class of data. However, the requirement that the optimal value for ρ should correspond to the maximal correlation between the experimental data set and the recalculated spectra makes the system also robust against misconclusions based on subjective interpretation of the data set, which is not always the case in TFA.
    Additional Material: 6 Ill.
    Type of Medium: Electronic Resource
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