Designing Nanostructures for Phonon Transport via Bayesian Optimization

Designing Nanostructures for Phonon Transport via Bayesian Optimization
复制标题

DOI:
10.1103/physrevx.7.021024
复制
发表时间:
2017-05-17
期刊:
影响因子:
12.5
通讯作者:
Shiomi, Junichiro
Shiomi, Junichiro
中科院分区:
物理与天体物理1区
文献类型:
--
作者:
Ju, Shenghong;Shiga, Takuma;Shiomi, Junichiro

文献摘要

被引文献

相似文献

我们通过开发一种结合原子格林函数和贝叶斯优化的方法来演示跨纳米结构的热导率优化。为了通过Si/Ge复合界面结构最小化和最大化Si-Si和Si-Ge界面的界面热导(ITC),该方法仅通过计算整个候选结构(超过60000个结构)的百分之几来确定最佳结构。得到的最优界面结构具有非直观性和冲击性:最小ITC结构是一个非周期超晶格,比最佳周期超晶格减少了50%。最小ITC的物理机制可以通过两种影响声子输运的交叉来理解:随着超晶格层厚度的增加,法布里-珀罗干涉的影响增加,层界面处的反射速率降低。层厚随空间变化的非周期超晶格具有一定的自由度来实现上述两种竞争机制之间的最优平衡。此外,相对于相消干涉,空间变化使得相消声子干涉的影响减弱。本研究显示了材料信息学在设计纳米结构以控制热传导方面的有效性和优势,并可推广到其他纳米结构和性质。
We demonstrate optimization of thermal conductance across nanostructures by developing a method combining atomistic Green's function and Bayesian optimization. With an aim to minimize and maximize the interfacial thermal conductance (ITC) across Si-Si and Si-Ge interfaces by means of the Si/Ge composite interfacial structure, the method identifies the optimal structures from calculations of only a few percent of the entire candidates (over 60 000 structures). The obtained optimal interfacial structures are nonintuitive and impacting: the minimum ITC structure is an aperiodic superlattice that realizes 50% reduction from the best periodic superlattice. The physical mechanism of the minimum ITC can be understood in terms of the crossover of the two effects on phonon transport: as the layer thickness in the superlattice increases, the impact of Fabry-Perot interference increases, and the rate of reflection at the layer interfaces decreases. An aperiodic superlattice with spatial variation in the layer thickness has a degree of freedom to realize optimal balance between the above two competing mechanisms. Furthermore, the spatial variation enables weakening the impact of constructive phonon interference relative to that of destructive interference. The present work shows the effectiveness and advantage of material informatics in designing nanostructures to control heat conduction, which can be extended to other nanostructures and properties.