| People | Locations | Statistics |
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| Naji, M. |
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| Motta, Antonella |
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| Aletan, Dirar |
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| Mohamed, Tarek |
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| Ertürk, Emre |
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| Taccardi, Nicola |
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| Kononenko, Denys |
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| Petrov, R. H. | Madrid |
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| Alshaaer, Mazen | Brussels |
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| Bih, L. |
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| Casati, R. |
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| Muller, Hermance |
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| Kočí, Jan | Prague |
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| Šuljagić, Marija |
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| Kalteremidou, Kalliopi-Artemi | Brussels |
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| Azam, Siraj |
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| Ospanova, Alyiya |
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| Blanpain, Bart |
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| Ali, M. A. |
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| Popa, V. |
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| Rančić, M. |
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| Ollier, Nadège |
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| Azevedo, Nuno Monteiro |
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| Landes, Michael |
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| Rignanese, Gian-Marco |
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Pernot, Gilles
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Topics
Publications (11/11 displayed)
- 2023Thermal properties of nanoporous materials, large scale modelling with the use of Monte Carlo phonon transport autocorrelationcitations
- 2023Thermal properties of nanoporous materials, large scale modelling with the use of Monte Carlo phonon transport autocorrelationcitations
- 2023Tuning the physico-chemical properties of SnSe films by pulse electrodepositioncitations
- 2023Boosting Thermoelectric Power Factor of Carbon Nanotube Networks with Excluded Volume by Co-Embedded Microparticlescitations
- 2021Features of thermal transport in "porous matrix/liquid" nanocomposite system
- 2018Enhanced thermal conductivity in percolating nanocomposites: a molecular dynamics investigationcitations
- 2015Titanium-based silicide quantum dot superlattices for thermoelectrics applicationscitations
- 2013Picosecond Joule heating in photoconductive switch electrodescitations
- 2012Thermoelectric properties of epitaxial TbAs:InGaAs nanocompositescitations
- 2012Controlling n-Type Carrier Density from Er Doping of InGaAs with MBE Growth Temperaturecitations
- 2011Growth and characterization of TbAs:GaAs nanocompositescitations
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article
Thermal properties of nanoporous materials, large scale modelling with the use of Monte Carlo phonon transport autocorrelation
Abstract
<jats:p>In the present work, we demonstrate the ability of a technique based on Monte Carlo resolution of the Boltzmann transport equation associated to the Green–Kubo autocorrelation of the phonon heat flux to predict, at thermal equilibrium, the thermal conductivity tensor of nanoporous structures. This methodology, which is derived from a former work [D. Lacroix, M. Isaiev, G. Pernot, Phys. Rev. B 104, 165 202 (2021)] developed in the case of bulk systems, is used to predict thermal transport properties of Si porous matrices and Si phononic membranes at room temperature. A broad range of porosities and different pore network organizations are considered. Our results are compared to available experimental data and former modeling techniques. In addition, analytical models based on the phonon mean free path are detailed and compared to numerical simulations.</jats:p>