223 research outputs found

    Composition law of κ\kappa-entropy for statistically independent systems

    Full text link
    The intriguing and still open question concerning the composition law of κ\kappa-entropy Sκ(f)=12κi(fi1κfi1+κ)S_{\kappa}(f)=\frac{1}{2\kappa}\sum_i (f_i^{1-\kappa}-f_i^{1+\kappa}) with 0<κ<10<\kappa<1 and ifi=1\sum_i f_i =1 is here reconsidered and solved. It is shown that, for a statistical system described by the probability distribution f={fij}f=\{ f_{ij}\}, made up of two statistically independent subsystems, described through the probability distributions p={pi}p=\{ p_i\} and q={qj}q=\{ q_j\}, respectively, with fij=piqjf_{ij}=p_iq_j, the joint entropy Sκ(pq)S_{\kappa}(p\,q) can be obtained starting from the Sκ(p)S_{\kappa}(p) and Sκ(q)S_{\kappa}(q) entropies, and additionally from the entropic functionals Sκ(p/eκ)S_{\kappa}(p/e_{\kappa}) and Sκ(q/eκ)S_{\kappa}(q/e_{\kappa}), eκe_{\kappa} being the κ\kappa-Napier number. The composition law of the κ\kappa-entropy is given in closed form, and emerges as a one-parameter generalization of the ordinary additivity law of Boltzmann-Shannon entropy recovered in the κ0\kappa \rightarrow 0 limit.Comment: 14 page

    Thermal Conductivity of Isotopically Enriched 28Si Revisited

    Full text link
    The thermal conductivity of isotopically enriched 28Si (enrichment better than 99.9%) was redetermined independently in three laboratories by high precision experiments on a total of 4 samples of different shape and degree of isotope enrichment in the range from 5 to 300 K with particular emphasis on the range near room temperature. The results obtained in the different laboratories are in good agreement with each other. They indicate that at room temperature the thermal conductivity of isotopically enriched 28Si exceeds the thermal conductivity of Si with a natural, unmodified isotope mixture by 10&#61617;2 %. This finding is in disagreement with an earlier report by Ruf et al. At &#61566;26 K the thermal conductivity of 28Si reaches a maximum. The maximum value depends on sample shape and the degree of isotope enrichment and exceeds the thermal conductivity of natural Si by a factor of &#61566;8 for a 99.982% 28Si enriched sample. The thermal conductivity of Si with natural isotope composition is consistently found to be &#61566;3% lower than the values recommended in the literature

    Yarn diameter characterization using two orthogonal directions

    Get PDF
    We have used a coherent optical signal processing technique based on Fourier optics to characterize yarn diameter using a single projection.Fundação para a Ciência e a Tecnologia (FCT) - BD/19028/200

    Electric-field control of spin waves at room temperature in multiferroic BiFeO3

    Full text link
    To face the challenges lying beyond current CMOS-based technology, new paradigms for information processing are required. Magnonics proposes to use spin waves to carry and process information, in analogy with photonics that relies on light waves, with several advantageous features such as potential operation in the THz range and excellent coupling to spintronics. Several magnonic analog and digital logic devices have been proposed, and some demonstrated. Just as for spintronics, a key issue for magnonics is the large power required to control/write information (conventionally achieved through magnetic fields applied by strip lines, or by spin transfer from large spin-polarized currents). Here we show that in BiFeO3, a room-temperature magnetoelectric material, the spin wave frequency (>600 GHz) can be tuned electrically by over 30%, in a non-volatile way and with virtually no power dissipation. Theoretical calculations indicate that this effect originates from a linear magnetoelectric effect related to spin-orbit coupling induced by the applied electric field. We argue that these properties make BiFeO3 a promising medium for spin wave generation, conversion and control in future magnonics architectures.Comment: 3 figure

    Thermal diffusivity of amorphous plastic materials

    Get PDF
    The paper presents thermal diffusivity data on amorphous plastic materials, obtained by means of a method previously developed by the authors. This methods ensures high sensitivity (<1%) and good reproducibility (<3%
    corecore