| 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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Isaiev, Mykola
in Cooperation with on an Cooperation-Score of 37%
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
- 2023Boosting Thermoelectric Power Factor of Carbon Nanotube Networks with Excluded Volume by Co-Embedded Microparticlescitations
- 2023Thermal transport properties of porous silicon filled by ionic liquid nanocomposite systemcitations
- 2023Thermal conductivity and mechanical properties of epoxy vitrimer nanocomposites reinforced with graphene oxidecitations
- 2021Features of thermal transport in "porous matrix/liquid" nanocomposite system
- 2020Thermal transport enhancement of hybrid nanocomposites; impact of confined water inside nanoporous siliconcitations
- 2020Some Types of Carbon-based Nanomaterials as Contrast Agents for Photoacoustic Tomographycitations
- 2019Thermal conductivity of “porous silicon – water” nanocomposite with molecular dynamics
- 2013Amorphization and reduction of thermal conductivity in porous silicon by irradiation with swift heavy ionscitations
- 2012Photoacoustic effects in nanocomposite structure ‘porous silicon-liquid’citations
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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>