播种
兴奋剂
材料科学
碳纤维
增长率
化学工程
光电子学
复合材料
数学
农学
生物
几何学
复合数
工程类
作者
Zhouyu Tong,Xuefeng Han,Yuanchao Huang,Binjie Xu,Yanwei Yang,Deren Yang,Xiaodong Pi
出处
期刊:CrystEngComm
[Royal Society of Chemistry]
日期:2024-11-21
卷期号:27 (1): 90-101
被引量:3
摘要
The optimal growth conditions for p-type SiC by the TSSG method were explored using machine learning and genetic algorithms. Al evaporation under the optimized conditions was significantly inhibited without compromising the growth rate.
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