Monte Carlo simulations for phonon transport in silicon nanomaterials
Dhritiman Chakraborty, Samuel Foster, and Neophytos Neophytou

TL;DR
This paper presents a Monte Carlo simulation approach to study phonon transport in silicon nanomaterials, revealing how pore size, distribution, and boundary roughness influence thermal conductivity, with implications for thermoelectric applications.
Contribution
The paper introduces a semiclassical Monte Carlo code for phonon transport in silicon nanostructures and investigates the effects of geometry and boundary conditions on thermal conductivity.
Findings
Smaller pores reduce thermal conductivity more effectively.
Porosity impacts thermal conductivity more than boundary roughness.
Simulation results align with experimental data.
Abstract
In nanostructures phonon transport behaviour is distinctly different to transport in bulk materials such that materials with ultra low thermal conductivities and enhanced thermoelectric performance can be realized. Low thermal conductivities have been achieved in nanocrystalline materials that include hierarchical sizes of inclusions and pores. Nanoporous structures present a promising set of material properties and structures which allow for ultra-low thermal conductivity, even below the amorphous limit. In this paper we outline a semiclassical Monte Carlo code for the study of phonon transport and present an investigation of the thermal conductivity in nanoporous and nanocrystalline silicon. Different disordered geometry configurations are incorporated to investigate the effects of pores and grain boundaries on the phonon flux and the thermal conductivity, including the effects of…
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