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Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F23%3A10465417" target="_blank" >RIV/00216208:11320/23:10465417 - isvavai.cz</a>

  • Result on the web

    <a href="https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=Ubsde_4Skn" target="_blank" >https://verso.is.cuni.cz/pub/verso.fpl?fname=obd_publikace_handle&handle=Ubsde_4Skn</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.spasta.2023.100747" target="_blank" >10.1016/j.spasta.2023.100747</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Fitting the grain orientation distribution of a polycrystalline material conditioned on a Laguerre tessellation

  • Original language description

    The description of distributions related to grain microstruc-ture helps physicists to understand the processes in materials and their properties. This paper presents a general statistical methodology for the analysis of crystallographic orientations of grains in a 3D Laguerre tessellation dataset which represents the microstructure of a polycrystalline material. We introduce complex stochastic models which may substitute expensive lab-oratory experiments: conditional on the Laguerre tessellation, we suggest interaction models for the distribution of cubic crystal lattice orientations, where the interaction is between pairs of ori-entations for neighbouring grains in the tessellation. We discuss parameter estimation and model comparison methods based on maximum pseudolikelihood as well as graphical procedures for model checking using simulations. Our methodology is applied for analysing a dataset representing a nickel-titanium shape memory alloy.(c) 2023 Elsevier B.V. All rights reserved.

  • Czech name

  • Czech description

Classification

  • Type

    J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database

  • CEP classification

  • OECD FORD branch

    10103 - Statistics and probability

Result continuities

  • Project

    Result was created during the realization of more than one project. More information in the Projects tab.

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2023

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Name of the periodical

    Spatial Statistics

  • ISSN

    2211-6753

  • e-ISSN

    2211-6753

  • Volume of the periodical

    55

  • Issue of the periodical within the volume

    June 2023

  • Country of publishing house

    NL - THE KINGDOM OF THE NETHERLANDS

  • Number of pages

    16

  • Pages from-to

    100747

  • UT code for WoS article

    000986064800001

  • EID of the result in the Scopus database

    2-s2.0-85152692872