Unraveling conditions for W-shaped interface and undercooled melts in Cz-Si growth: A smart approach
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F24%3A00600768" target="_blank" >RIV/67985807:_____/24:00600768 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1016/j.jcrysgro.2024.127897" target="_blank" >https://doi.org/10.1016/j.jcrysgro.2024.127897</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1016/j.jcrysgro.2024.127897" target="_blank" >10.1016/j.jcrysgro.2024.127897</a>
Alternative languages
Result language
angličtina
Original language name
Unraveling conditions for W-shaped interface and undercooled melts in Cz-Si growth: A smart approach
Original language description
In Cz-Si growth, concave and W-shaped solid–liquid interfaces and undercooled melts are primary contributors to the degradation of crystal quality, particularly structure loss, defect generation, non-uniform dopant distribution, and crystal twisting, making their avoidance crucial. We employed a classification tree machine learning approach to investigate the importance of 15 process and furnace design parameters and their critical ranges for the formation of various types of W-shaped interfaces and undercooled melts at different scales, both in dimensional and dimensionless forms, and across a wide range of process conditions. Moreover, symbolic regression was used to predict minimal melt temperature based on the aforementioned inputs. Training data were obtained by CFD modeling. The classification tree for combined output identified the Grashof, Reynolds for crystal, and Stefan numbers, along with the percentage of silicon solidified, as the most decisive inputs. Symbolic regression for the temperature of undercooled melt highlighted crucible diameter, pulling rate, and the power of the bottom heater as key parameters.
Czech name
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Czech description
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Classification
Type
J<sub>imp</sub> - Article in a specialist periodical, which is included in the Web of Science database
CEP classification
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OECD FORD branch
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Result continuities
Project
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Continuities
I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace
Others
Publication year
2024
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Name of the periodical
Journal of Crystal Growth
ISSN
0022-0248
e-ISSN
1873-5002
Volume of the periodical
648
Issue of the periodical within the volume
December 2024
Country of publishing house
NL - THE KINGDOM OF THE NETHERLANDS
Number of pages
12
Pages from-to
127897
UT code for WoS article
001322235000001
EID of the result in the Scopus database
2-s2.0-85204676333