Machine learning application for prediction of sapphire crystals defects

We investigate the impact of different numbers of positive and negative examples on machine learning for sapphire crystals defects prediction. We obtain the models of crystal growth parameters influence on the sapphire crystal growth. For example, these models allow predicting the defects that occur...

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Bibliographic Details

Published in:	Journal of Electronic Science and Technology
Main Authors:	Yulia Vladimirovna Klunnikova, Maxim Vladimirovich Anikeev, Alexey Vladimirovich Filimonov, Ravi Kumar
Format:	Article
Language:	English
Published:	KeAi Communications Co., Ltd. 2020-03-01
Subjects:	Defects Machine learning Sapphire crystals
Online Access:	http://www.sciencedirect.com/science/article/pii/S1674862X20300264