Findings from Xiamen University Has Provided New Data on Machine Learning (Machi ne-learning Enhanced Thermal Stability Investigation of Single Shockley Stacking Faults In 4h-sic)

厦门大学的研究结果为机器学习提供了新的数据(Machi Ne-Learning增强的4H-SiC单个Shockley层错热稳定性研究)

Robotics & Machine Learning Daily News2024，Issue(Jul.1) ：37-37.

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Findings from Xiamen University Has Provided New Data on Machine Learning (Machi ne-learning Enhanced Thermal Stability Investigation of Single Shockley Stacking Faults In 4h-sic)

厦门大学的研究结果为机器学习提供了新的数据(Machi Ne-Learning增强的4H-SiC单个Shockley层错热稳定性研究)

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摘要

Robotics&Machine Learning Daily News的一位新闻记者兼工作人员新闻编辑每日新闻-机器学习的新数据在一份新的报告中呈现。根据《来自中国人民日报福建的新闻》，NewsRx记者报道，研究表明：“全面了解单个Shockley层错(1SSFs)对于控制碳化硅(SiC)的缺陷至关重要。然而，由于常规技术的限制，4h-SiC 1SSFs的热稳定性仍不清楚。”

Abstract

By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News – Fresh data on Machine Learning are pre sented in a new report. According to news originating from Fujian, People’s Repu blic of China, by NewsRx correspondents, research stated, “A comprehensive under standing of single Shockley stacking faults (1SSFs) would be crucial for defect control in silicon carbide (SiC). Nevertheless, the thermal stability of 4H-SiC 1SSFs remains unclear due to limitations in conventional technologies.”

Key words

Fujian/People's Republic of China/Asia/Cyborgs/Emerging Technologies/Machine Learning/Xiamen University

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出版年

2024

Robotics & Machine Learning Daily News

ISSN：

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