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Simulation of Interfacial Phonon Transport in Si–Ge Heterostructures Using an Atomistic Green’s Function Method

Zhang, W., Fisher, T. S., Mingo, N.·2007·Journal of Heat Transfer

Abstract

An atomistic Green’s function method is developed to simulate phonon transport across a strained germanium (or silicon) thin film between two semi-infinite silicon (or germanium) contacts. A plane-wave formulation is employed to handle the translational symmetry in directions parallel to the interfaces. The phonon transmission function and thermal conductance across the thin film are evaluated for various atomic configurations. The contributions from lattice straining and material heterogeneity are evaluated separately, and their relative magnitudes are characterized. The dependence of thermal conductance on film thickness is also calculated, verifying that the thermal conductance reaches an asymptotic value for very thick films. The thermal boundary resistance of a single Si∕Ge interface is computed and agrees well with analytical model predictions. Multiple-interface effects on thermal resistance are investigated, and the results indicate that the first few interfaces have the most significant effect on the overall thermal resistance.

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Metadata

Authors
Zhang, W., Fisher, T. S., & Mingo, N.
Venue
Journal of Heat Transfer
Published
2006-05-30
Volume
129
Issue
4
Pages
483-491
ISSN
  • 0022-1481 (ISSN-L)
  • 1528-8943
OpenAlex
W2077141025
Cited by
224
References
2
FWCI
2.82
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Simulation of Interfacial Phonon Transport in Si–Ge Heterostructures Using an Atomistic Green’s Function Method. https://app.cochat.ai/papers/10.1115/1.2709656
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Zhang, W., Fisher, T. S., & Mingo, N. (2007). Simulation of Interfacial Phonon Transport in Si–Ge Heterostructures Using an Atomistic Green’s Function Method. Journal of Heat Transfer. https://doi.org/10.1115/1.2709656

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.