scholarly journals Quantitatively predicting modal thermal conductivity of nanocrystalline Si by full-band Monte Carlo simulations

2021 ◽  
Vol 104 (19) ◽  
Author(s):  
Lina Yang ◽  
Yi Jiang ◽  
Yanguang Zhou
2019 ◽  
Vol 66 (1) ◽  
pp. 444-451 ◽  
Author(s):  
Jingtian Fang ◽  
Mahmud Reaz ◽  
Stephanie L. Weeden-Wright ◽  
Ronald D. Schrimpf ◽  
Robert A. Reed ◽  
...  

2004 ◽  
Vol 19 (4) ◽  
pp. S206-S208 ◽  
Author(s):  
Niels Fitzer ◽  
Angelika Kuligk ◽  
Ronald Redmer ◽  
Martin Städele ◽  
Stephen M Goodnick ◽  
...  

2017 ◽  
Vol 7 (1) ◽  
Author(s):  
Lina Yang ◽  
Austin J. Minnich

Abstract Nanocrystalline thermoelectric materials based on Si have long been of interest because Si is earth-abundant, inexpensive, and non-toxic. However, a poor understanding of phonon grain boundary scattering and its effect on thermal conductivity has impeded efforts to improve the thermoelectric figure of merit. Here, we report an ab-initio based computational study of thermal transport in nanocrystalline Si-based materials using a variance-reduced Monte Carlo method with the full phonon dispersion and intrinsic lifetimes from first-principles as input. By fitting the transmission profile of grain boundaries, we obtain excellent agreement with experimental thermal conductivity of nanocrystalline Si [Wang et al. Nano Letters 11, 2206 (2011)]. Based on these calculations, we examine phonon transport in nanocrystalline SiGe alloys with ab-initio electron-phonon scattering rates. Our calculations show that low energy phonons still transport substantial amounts of heat in these materials, despite scattering by electron-phonon interactions, due to the high transmission of phonons at grain boundaries, and thus improvements in ZT are still possible by disrupting these modes. This work demonstrates the important insights into phonon transport that can be obtained using ab-initio based Monte Carlo simulations in complex nanostructured materials.


Author(s):  
Majid Baniassadi ◽  
Akbar Ghazavizadeh ◽  
Yves Rémond ◽  
Said Ahzi ◽  
David Ruch ◽  
...  

In this study, a qualitative equivalence between the electrical percolation threshold and the effective thermal conductivity of composites filled with cylindrical nanofillers has been recognized. The two properties are qualitatively compared on a wide range of aspect ratios, from thin nanoplatelets to long nanotubes. Statistical continuum theory of strong-contrast is utilized to estimate the thermal conductivity of this type of heterogeneous medium, while the percolation threshold is simultaneously evaluated using the Monte Carlo simulations. Statistical two-point probability distribution functions are used as microstructure descriptors for implementing the statistical continuum approach. Monte Carlo simulations are carried out for calculating the two-point correlation functions of computer generated microstructures. Finally, the similarities between the effective conductivity properties and percolation threshold are discussed.


Author(s):  
Qing Hao ◽  
Yue Xiao ◽  
Hongbo Zhao

Phonon transport within nanoporous bulk materials or thin films is of importance to applications in thermoelectrics, gas sensors, and thermal insulation materials. Considering classical phonon size effects, the lattice thermal conductivity KL can be predicted assuming diffusive pore-edge scattering of phonons and bulk phonon mean free paths. In the kinetic relationship, kL can be computed by modifying the phonon mean free paths with the characteristic length ΛPore of the porous structure. Despite some efforts using the Monte Carlo ray tracing method to extract ΛPore, the resulting KL often diverges from that predicted by phonon Monte Carlo simulations. In this work, the effective ΛPore is extracted by directly comparing the predictions by the kinetic relationship and phonon Monte Carlo simulations. The investigation covers a wide range of period sizes and volumetric porosities. In practice, these ΛPore values can be used for thermal analysis of general nanoporous materials.


2017 ◽  
Vol 64 (11) ◽  
pp. 4442-4449
Author(s):  
Riccardo Soligo ◽  
Flavio Sabatti ◽  
Srabanti Chowdhury ◽  
Marco Saraniti

2003 ◽  
Vol 67 (20) ◽  
Author(s):  
Niels Fitzer ◽  
Angelika Kuligk ◽  
Ronald Redmer ◽  
Martin Städele ◽  
Stephen M. Goodnick ◽  
...  

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