基于机器学习的2D GeS和SnS的范德瓦尔斯异构的热导率,基于原子间潜力的机器学习

Wentao Li1, Chenxiu Yang1

  • 1School of Arts and Sciences, Shaanxi University of Science and Technology, Xi'an 710021, People's Republic of China.

概括

在范德瓦尔斯的异构结构中,像GeS和SnS这样的二维材料的垂直堆叠显著抑制了导热性. 这种接口效应为热电应用提供可调节的热传输.

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