Machine learning application for prediction of sapphire crystals defects-Reference-Cited by-同舟云学术

Machine learning application for prediction of sapphire crystals defects

Published:2020-03 Issue:1 Volume:18 Page:100029
ISSN:1674-862X
Container-title:Journal of Electronic Science and Technology
language:en
Short-container-title:Journal of Electronic Science and Technology

Author:

Klunnikova Yulia Vladimirovna,Anikeev Maxim Vladimirovich,Filimonov Alexey Vladimirovich,Kumar Ravi

Funder

Russian Foundation for Basic Research

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Networks and Communications,Signal Processing

Reference25 articles.

1. Sapphire: Material, Manufacturing, Applications;Dobrovinskaya,2009

2. Heat-physical processes at the sapphire crystals growth by horizontal directed crystallization;Cherednichenko,2013

3. Investigation of influence of sapphire crystals shape factor on its growth by horizontal directed crystallization;Malyukov;IOP Conf. Ser. Mater. Sci. Eng.,2019

4. Computational approach to the simulation of sapphire crystals growth by horizontal directed crystallization method;Klunnikova;J. Phys. Conf.,2019

5. An analysis approach to the sapphire crystals growth by horizontal directed crystallization method;Klunnikova;Key Eng. Mater.,2019

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