使用ab-initioDFT,机器学习原子间潜力和取决于温度的有效潜力的格子导热性比较:六角BN和BP双层的案例研究
Harpriya Minhas1, Arnab Majumdar2, Biswarup Pathak1
1Department of Chemistry, Indian Institute of Technology (IIT) Indore, Simrol, Indore 453552, India.
概括
双层化物 (BP) 的导热率低于六角化物 (BN),这是由于其增加了声的不和性. 这项研究有助于理解用于先进热管理应用的二维材料特性.
科学领域:
- 材料科学 材料科学 材料科学
- 凝聚物质物理学 凝聚物质物理学
- 计算材料科学科学 计算材料科学
背景情况:
- 二维 (2D) 材料为电子冷却等应用提供了独特的特性.
- 六角化 (BN) 是一种具有显著热性能的显著二维材料.
- 了解二维材料的导热性对于技术进步至关重要.
研究的目的:
- 计算和比较双层化 (BP) 和六角化 (BN) 的晶格导热率.
- 调查声子散射机制在确定导热性的作用.
- 评估用于预测热性质的不同计算方法的准确性.
主要方法:
- 一开始的密度函数理论计算.
- 机器学习与时刻张量潜力方法.
- 温度依赖的有效电位 (TDEP) 方法用于准确的声计算.
主要成果:
- 对于BN和BP,TDEP方法提供了更准确的格子导热率结果.
- 双层BP在室温下表现出较低的导热率,与双层BN相比.
- 在BP中增加的语音无和度被确定为其降低导热率的原因.
结论:
- 声波无和性显著影响二维材料的导热性.
- 比拉耶BP是需要量身定制的热管理的应用程序的一个有前途的材料.
- 这项研究增强了对未来技术的二维材料热传输的理解.
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