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Smart Design of Cz-Ge Crystal Growth Furnace and Process

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    SYSNO ASEP0567441
    Document TypeJ - Journal Article
    R&D Document TypeJournal Article
    Subsidiary JČlánek ve WOS
    TitleSmart Design of Cz-Ge Crystal Growth Furnace and Process
    Author(s) Dropka, N. (DE)
    Tang, X. (DE)
    Chappa, G. K. (DE)
    Holeňa, Martin (UIVT-O) SAI, RID
    Article number1764
    Source TitleCrystals. - : MDPI - ISSN 2073-4352
    Roč. 12, č. 12 (2022)
    Number of pages17 s.
    Publication formOnline - E
    Languageeng - English
    CountryCH - Switzerland
    KeywordsCzochralski Ge growth ; CFD training data ; furnace design ; process design ; regression tree ; correlation coefficient
    OECD categoryComputer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
    Method of publishingOpen access
    Institutional supportUIVT-O - RVO:67985807
    UT WOS000900625400001
    EID SCOPUS85144718366
    DOI10.3390/cryst12121764
    AnnotationThe aim of this study was to evaluate the potential of the machine learning technique of decision trees to understand the relationships among furnace design, process parameters, crystal quality, and yield in the case of the Czochralski growth of germanium. The ultimate goal was to provide the range of optimal values of 13 input parameters and the ranking of their importance in relation to their impact on three output parameters relevant to process economy and crystal quality. Training data were provided by CFD modelling. The variety of data was ensured by the Design of Experiments method. The results showed that the process parameters, particularly the pulling rate, had a substantially greater impact on the crystal quality and yield than the design parameters of the furnace hot zone. Of the latter, only the crucible size, the axial position of the side heater, and the material properties of the radiation shield were relevant.
    WorkplaceInstitute of Computer Science
    ContactTereza Šírová, sirova@cs.cas.cz, Tel.: 266 053 800
    Year of Publishing2023
    Electronic addresshttps://dx.doi.org/10.3390/cryst12121764
Number of the records: 1  

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