A Deep Learning Based Dislocation Detection Method for Cylindrical Crystal Growth Process

A Deep Learning Based Dislocation Detection Method for Cylindrical Crystal Growth Process

For the single crystal furnace used in the photovoltaic industry, growth problems occur frequently due to dislocations during the shouldering and cylindrical growth steps of the Czochralski (CZ) crystal growth. Detecting the dislocation phenomenon in the cylindrical growth step is very important for...

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Bibliographic Details
Main Authors:	Jun Zhang, Hua Liu, Jianwei Cao, Weidong Zhu, Bo Jin, Wei Li
Format:	Article
Language:	English
Published:	MDPI AG 2020-11-01
Series:	Applied Sciences
Subjects:	crystal furnace cylindrical growth habit line deep learning convolutional neural networks transfer learning
Online Access:	https://www.mdpi.com/2076-3417/10/21/7799

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