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郭志新

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西安交通大学材料学院教授,入选该校"青年拔尖人才计划"。博士毕业于复旦大学,先后在东京大学、德克萨斯大学奥斯汀分校开展博士后研究,2019年加入西安交通大学。课题组致力于人工智能与数值计算驱动的先进电子材料与器件设计,围绕存算一体器件与新能源器件两大方向,开展从材料预测到器件设计的全链条研究。已在 Phys. Rev. Lett.、 Nat. Commun. Adv. Matter. 等期刊发表SCI论文80余篇(一作/通讯50余篇),总引用3000余次;主持国家级项目5项,并获省杰出青年科学基金资助。欢迎对计算材料、AI for Science、存算一体与自旋电子学感兴趣的同学加入课题组!

课题组新闻

祝贺王善港、冯慧峰同学在Computational Materials Science上发表论文!

发布时间:2023-06-26  点击次数:

发布时间:2023-06-26

文章标题:祝贺王善港、冯慧峰同学在Computational Materials Science上发表论文!

内容:

Recently, the in-plane thermal transport in van der Waals (vdW) materials such as graphene, hexagonal boron nitride (h-BN), and transition metal dichalcogenides (TMDs) has been widely studied. Whereas, the cross-plane one is far from sufficient. Based on the non-equilibrium molecular dynamics simulations and Boltzmann transport equation, here we reveal the stacking and thickness effects on the cross-plane thermal conductivity (κ) of h-BN. We find that κ can be significantly modulated by both the stacking structure and thickness (d) of h-BN, which is unexpected from the viewpoint of its smooth in-plane structure and weak interlayer interaction. In the small thickness region (d < 6 nm), κ of h-BN at room temperature significantly increases with thickness, following a power law of κ∝dβ withβ = 0.84, 0.66, and 0.92 for AA’, AB, and AB’ stacking structures, respectively. Moreover, κ of AB’ structure reaches up to 60% larger than that of AA’ and AB structures with d = 5.3 nm, showing the remarkable stacking effect. We also find that the stacking effect on κ changes dramatically with d increasing, where AA’ stacking has the largest κ with d > 200 nm. We finally clarify that such exotic stacking and thickness dependence of κ is owing to the competing effect of excited number of phonons and phonon relaxation time, both of which directly affect the thermal conductivity. Our findings may provide new insights into the cross-plane thermal management in vdW materials.

 

Computational Materials Science 228, 112345  (2023).

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