频率和温度对[公式:参见文本]半导体单晶半导体的交流导电性的影响
Mohamed M Fangary1, Muhammad A O Ahmed2
1Physics Department, Faculty of Science, Luxor University, Luxor, 85951, Egypt. Mohamed_fangary@sci.svu.edu.eg.
Scientific reports
|February 12, 2025
概括
这项研究使用布里奇曼技术制备了半导体单晶[公式:参见文本]. 分析了交流电导率和介电性质,揭示了相关的障碍跳跃作为主要的导电机制,并通过机器学习模型进一步验证.
科学领域:
- 材料科学 材料科学 材料科学
- 固态物理 固态物理
- 半导体物理 半导体物理
背景情况:
- [公式:参见文本]的单晶是使用专门的布里奇曼技术制备的.
- 了解[公式:参见文本]的结构和电性质对于固态物理应用至关重要.
研究的目的:
- 为了准备和描述 [公式:见文本] 半导体单晶.
- 研究频率和温度对交流电导率和介电性质的影响.
- 探索机器学习 (ML) 在预测交流电导率方面的潜力.
主要方法:
- 单晶通过布里奇曼技术生长.
- 用于结构分析的X射线衍射 (XRD).
- 热重力测量分析 (TGA) 用于测量热行为.
- 在广泛的频率和温度范围内进行介电测量 (允许度,介电损失).
- 随机森林和梯度增强ML模型的应用.
主要成果:
- [公式:参见文本]被确定为具有特定格子参数的四角形系统.
- 交流电导率遵循功率规律,并由相关屏障跳跃 (CBH) 模型主导.
- 确定了局部状态的激活能量和密度.
- ML模型准确地预测了交流电导率,证实了实验发现.
结论:
- 该研究成功地准备和表征了单晶[公式:参见文本].
- 相关屏障跳跃是主要的导电机制,受温度和频率的影响.
- 机器学习模型为预测半导体研究中的材料特性提供了强大的工具.
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