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Open AccessReview

Application of Artificial Neural Networks in Crystal Growth of Electronic and Opto-Electronic Materials

by 1,* and 2,3
1
Leibniz-Institut für Kristallzüchtung, Max-Born-Str. 2, 12489 Berlin, Germany
2
Leibniz Institute for Catalysis, Albert-Einstein-Str. 29A, 18069 Rostock, Germany
3
Institute of Computer Science, Pod Vodárenskou věží 2, 18207 Prague, Czech Republic
*
Author to whom correspondence should be addressed.
Crystals 2020, 10(8), 663; https://doi.org/10.3390/cryst10080663
Received: 31 May 2020 / Revised: 13 July 2020 / Accepted: 23 July 2020 / Published: 1 August 2020
(This article belongs to the Special Issue Crystal Growth from Liquid Phase)
In this review, we summarize the results concerning the application of artificial neural networks (ANNs) in the crystal growth of electronic and opto-electronic materials. The main reason for using ANNs is to detect the patterns and relationships in non-linear static and dynamic data sets which are common in crystal growth processes, all in a real time. The fast forecasting is particularly important for the process control, since common numerical simulations are slow and in situ measurements of key process parameters are not feasible. This important machine learning approach thus makes it possible to determine optimized parameters for high-quality up-scaled crystals in real time. View Full-Text
Keywords: artificial neural networks; crystal growth; semiconductors; oxides artificial neural networks; crystal growth; semiconductors; oxides
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MDPI and ACS Style

Dropka, N.; Holena, M. Application of Artificial Neural Networks in Crystal Growth of Electronic and Opto-Electronic Materials. Crystals 2020, 10, 663. https://doi.org/10.3390/cryst10080663

AMA Style

Dropka N, Holena M. Application of Artificial Neural Networks in Crystal Growth of Electronic and Opto-Electronic Materials. Crystals. 2020; 10(8):663. https://doi.org/10.3390/cryst10080663

Chicago/Turabian Style

Dropka, Natasha; Holena, Martin. 2020. "Application of Artificial Neural Networks in Crystal Growth of Electronic and Opto-Electronic Materials" Crystals 10, no. 8: 663. https://doi.org/10.3390/cryst10080663

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