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Modeling grain boundary segregation by prediction of all the necessary parameters

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68378271%3A_____%2F19%3A00507500" target="_blank" >RIV/68378271:_____/19:00507500 - isvavai.cz</a>

  • Result on the web

    <a href="https://doi.org/10.1016/j.actamat.2019.03.037" target="_blank" >https://doi.org/10.1016/j.actamat.2019.03.037</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1016/j.actamat.2019.03.037" target="_blank" >10.1016/j.actamat.2019.03.037</a>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Modeling grain boundary segregation by prediction of all the necessary parameters

  • Original language description

    A thermodynamic model of equilibrium grain boundary segregation in real binary systems is proposed which is based on the prediction of all the necessary parameters.

  • 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

    10302 - Condensed matter physics (including formerly solid state physics, supercond.)

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

    2019

  • Confidentiality

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

Data specific for result type

  • Name of the periodical

    Acta Materialia

  • ISSN

    1359-6454

  • e-ISSN

  • Volume of the periodical

    170

  • Issue of the periodical within the volume

    May

  • Country of publishing house

    GB - UNITED KINGDOM

  • Number of pages

    15

  • Pages from-to

    253-267

  • UT code for WoS article

    000466252400022

  • EID of the result in the Scopus database

    2-s2.0-85063883487