Simulation of Phonon Transport in Semiconductors Using a Population-Dependent Many-Body Cellular Monte Carlo Approach
Autor: | Marco Saraniti, Flavio F. M. Sabatti, Stephen M. Goodnick |
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Rok vydání: | 2016 |
Předmět: |
010302 applied physics
Physics education.field_of_study business.industry Phonon Mechanical Engineering Monte Carlo method Population 02 engineering and technology 021001 nanoscience & nanotechnology Condensed Matter Physics 01 natural sciences Many body Semiconductor Mechanics of Materials 0103 physical sciences Dynamic Monte Carlo method General Materials Science Statistical physics 0210 nano-technology business education Monte Carlo molecular modeling |
Zdroj: | Journal of Heat Transfer. 139 |
ISSN: | 1528-8943 0022-1481 |
DOI: | 10.1115/1.4035042 |
Popis: | A Monte Carlo rejection technique for numerically solving the complete, nonlinear phonon Boltzmann transport equation (BTE) is presented in this work, including three particles interactions. The technique has been developed to explicitly model population-dependent scattering within a full-band cellular Monte Carlo (CMC) framework, to simulate phonon transport in semiconductors, while ensuring conservation of energy and momentum for each scattering event within gridding error. The scattering algorithm directly solves the many-body problem accounting for the instantaneous distribution of the phonons. Our general approach is capable of simulating any nonequilibrium phase space distribution of phonons using the full phonon dispersion without the need of approximations used in previous Monte Carlo simulations. In particular, no assumptions are made on the dominant modes responsible for anharmonic decay, while normal and umklapp scattering are treated on the same footing. In this work, we discuss details of the algorithmic implementation of both the three-particle scattering for the treatment of the anharmonic interactions between phonons, as well as treating isotope and impurity scattering within the same framework. The simulation code was validated by comparison with both analytical and experimental results; in particular, the simulation results show close agreement with a wide range of experimental data such as thermal conductivity as function of the isotopic composition, the temperature, and the thin-film thickness. |
Databáze: | OpenAIRE |
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