2014
DOI: 10.1063/1.4861410
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Monte Carlo simulations of phonon transport in nanoporous silicon and germanium

Abstract: International audienceHeat conduction of nanoporous silicon and germanium thin films is studied thanks to a statistical approach. Resolution of phonon Boltzmann transport equation is performed with a Monte Carlo technique in order to assess thermal conductivity. Sensitivity of this latter property with respect to parameters such as phonon mean free path and characteristics of the pores ( distribution, size, porosity) is discussed and compared to predictions from analytical models. Results point out that therma… Show more

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Cited by 88 publications
(71 citation statements)
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References 59 publications
(85 reference statements)
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“…3 and 4 depict the dependence of the effective thermal conductivities of the nano composite p-Si/Ge versus the volume fraction of the p-Si particles for several porosities , pore radii and particle radii . Note that = 0 corresponds to bulk silicon nanoparticles embedded in germanium as studied in [12], whereas = 1 describes nanoporous Ge samples [6]. than 0.1 is necessary to reach the same result, though the thermal conductivity still remains rather insensitive to the porosity.…”
Section: A Mathematical Model For Porous Nanoparticles Embedded Withimentioning
confidence: 91%
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“…3 and 4 depict the dependence of the effective thermal conductivities of the nano composite p-Si/Ge versus the volume fraction of the p-Si particles for several porosities , pore radii and particle radii . Note that = 0 corresponds to bulk silicon nanoparticles embedded in germanium as studied in [12], whereas = 1 describes nanoporous Ge samples [6]. than 0.1 is necessary to reach the same result, though the thermal conductivity still remains rather insensitive to the porosity.…”
Section: A Mathematical Model For Porous Nanoparticles Embedded Withimentioning
confidence: 91%
“…The validity of our approach will be checked by comparing our results with experimental data and five different models [6,8,23,24] briefly described below. The comparison with the aforementioned models will also allow better understanding the underlying difficulties in modeling thermal conductivity of nano-porous materials.…”
Section: Results and Comparison With Other Modelsmentioning
confidence: 99%
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