4 research outputs found
Crossing statistics of anisotropic stochastic surface
We use crossing statistics and its generalization to determine the
anisotropic direction imposed on a stochastic fields in Dimension. This
approach enables us to examine not only the rotational invariance of morphology
but also we can determine the Gaussianity of underlying stochastic field in
various dimensions. Theoretical prediction of up-crossing statistics (crossing
with positive slope at a given threshold of height fluctuation),
, and generalized roughness function,
, for correlation length () and/with
scaling exponent () anisotropies are calculated. The
strategy to examine the anisotropy nature and to determine its direction is as
follows: we consider a set of normal axes, and sign them (parallel) and (normal) with respect to unknown anisotropic direction. Then we determine
and in both directions. The
directional dependency of difference between computed results in mentioned
directions are clarify. Finally we systematically recognize the anisotropy
direction at confidence interval using P-value approach. In order to
distinguish between nature of anisotropies, after applying a typical method in
determining the scaling exponents in both mentioned directions with respect to
the recognized anisotropy direction using up-crossing statistics, the kind and
the ratio of correlation length anisotropy are specified. Our algorithm can be
mounted with a simple software on various instruments for surface analysis,
such as AFM, STM and etc
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Highly anisotropic thermal conductivity of arsenene: An ab initio study
Elemental two-dimensional (2D) materials exhibit intriguing heat transport and phononic properties. Here we have investigated the lattice thermal conductivity of newly proposed arsenene, the 2D honeycomb structure of arsenic, using ab initio calculations. Solving the Boltzmann transport equation for phonons, we predict a highly anisotropic thermal conductivity of 30.4 and 7.8 W/mK along the zigzag and armchair directions, respectively, at room temperature. Our calculations reveal that phonons with mean free paths between 20 nm and 1μm provide the main contribution to the large thermal conductivity in the zigzag direction; mean free paths of phonons contributing to heat transport in the armchair directions range between 20 and 100 nm. The obtained anisotropic thermal conductivity and feasibility of synthesis, in addition to high electron mobility reported elsewhere, make arsenene a promising material for nanoelectronic applications and thermal management
Recommended from our members
Highly anisotropic thermal conductivity of arsenene: An ab initio study
Elemental two-dimensional (2D) materials exhibit intriguing heat transport and phononic properties. Here we have investigated the lattice thermal conductivity of newly proposed arsenene, the 2D honeycomb structure of arsenic, using ab initio calculations. Solving the Boltzmann transport equation for phonons, we predict a highly anisotropic thermal conductivity of 30.4 and 7.8 W/mK along the zigzag and armchair directions, respectively, at room temperature. Our calculations reveal that phonons with mean free paths between 20 nm and 1μm provide the main contribution to the large thermal conductivity in the zigzag direction; mean free paths of phonons contributing to heat transport in the armchair directions range between 20 and 100 nm. The obtained anisotropic thermal conductivity and feasibility of synthesis, in addition to high electron mobility reported elsewhere, make arsenene a promising material for nanoelectronic applications and thermal management