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Design of High-quality SiC Solution Growth Condition Assisted by Machine Learning

Authors :
Can Zhu
Hung-Yi Lin
Kentaro Kutsukake
Taka Narumi
Toru Ujihara
Shunta Harada
Yosuke Tsunooka
Source :
Materia Japan. 59:145-152
Publication Year :
2020
Publisher :
Japan Institute of Metals, 2020.

Details

ISSN :
18845843 and 13402625
Volume :
59
Database :
OpenAIRE
Journal :
Materia Japan
Accession number :
edsair.doi...........a3c482941d5910d1114f4d6e58596672
Full Text :
https://doi.org/10.2320/materia.59.145