Data-Driven Cz–Si Scale-Up under Conditions of Partial Similarity
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985807%3A_____%2F24%3A00585427" target="_blank" >RIV/67985807:_____/24:00585427 - isvavai.cz</a>
Result on the web
<a href="https://doi.org/10.1002/crat.202300342" target="_blank" >https://doi.org/10.1002/crat.202300342</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1002/crat.202300342" target="_blank" >10.1002/crat.202300342</a>
Alternative languages
Result language
angličtina
Original language name
Data-Driven Cz–Si Scale-Up under Conditions of Partial Similarity
Original language description
In Cz–Si growth, the shape of the solid–liquid interface and the v/G ratio significantly impact crystal quality. This study utilizes a data-driven approach, employing multilayer perceptron (MLP) neural networks and Bayesian optimization, to investigate the scale-up process of Cz–Si under conditions of partial similarity. The focus is on exploring the influence of various process and furnace geometry parameters, as well as radiation shield material properties, on the critical measures of crystal quality. Axisymmetric CFD modeling produces 340 sets of 18D raw data, from which 14-dimensionless derived data tuples are generated for the design and training of the MLP. The best MLP obtained demonstrates the ability to accurately assess the complex nonlinear dependencies among dimensionless numbers derived from CFD data and, on the output side, interface deflection and v/G. These relationships, crucial for scale-up, are successfully generalized across a wide range of 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
Crystal Research and Technology
ISSN
0232-1300
e-ISSN
1521-4079
Volume of the periodical
59
Issue of the periodical within the volume
6
Country of publishing house
DE - GERMANY
Number of pages
10
Pages from-to
2300342
UT code for WoS article
001198587000001
EID of the result in the Scopus database
2-s2.0-85189762600