Interfacial phonon transport with frequency-dependent transmissivity by Monte Carlo simulation
Introduction
In the past several decades, with the rapid developments of micro- and nano- manufacturing and nano-technology, there are increasing interests in nanoscale heat transport [1], [2]. The thermal management of micro- and nano-electronics is pursuing thermal interfacial materials with high thermal conductivity [3]. The introduction of complex interfaces including dislocations, grain boundaries etc., is one of the main methods to improve the figure of merit of nanostructured thermoelectric material [4], [5], [6]. Both of the above two issues require a profound understanding of the physical mechanism in interfacial phonon transport. The classical Fourier’s law, which is valid for heat transport in bulk material, becomes no longer available for this situation [1], [7], where phonon-interface scattering is dominant over the intrinsic scattering. Therefore, it is essential to develop effective theories and methods for modeling interfacial phonon transport.
The interface between two dissimilar materials will cause a cross-plane thermal transport resistance comparable to the intrinsic thermal resistance of each material layer. There will be a temperature jump across the interface and the ratio of temperature jump to the heat flux across the interface is defined as Kapitza resistance or thermal boundary resistance. The Kapitza conductance or thermal boundary conductance is also often used as the inverse of the Kapitza resistance. There have been mainly two categories of approaches to predicting the thermal boundary conductance: (i) microscopic methods including molecular dynamics simulation [8], [9], [10], atomistic Green’s function method [11], [12], [13], etc.; (ii) mesoscopic modeling based on the phonon Boltzmann equation [14]. The microscopic methods are usually situated for small nanostructures and simple interfaces due to an intensive consumption of computational time and resources. In contrast, the phonon Boltzmann modeling represents a feasible approach for much larger structures and more complex interfaces. The mesoscopic modeling requires an important physical parameter in determining the Kapitza conductance between a material pair: phonon transmission coefficient across the interface.
The classical models for phonon transmission coefficient include the acoustic mismatch model (AMM) [15] and the diffuse mismatch model (DMM) [16]. The AMM treats phonons as a kind of acoustic waves transmitting through the interface. The transmission coefficient is calculated from the acoustic impedance of materials that form the interface [15]. It provides an appreciably good prediction of Kapitza conductance at very low temperature where phonons are mainly populated at low frequency with wavelengths much larger than the size of interfacial asperity. In elevated temperature scope, the AMM becomes often overestimating the Kapitza resistance because of the stronger Rayleigh scattering of the phonon population when shifting to higher frequency scope with wavelengths comparable to or even smaller than the size of interface asperity [16], [17]. The DMM was thus proposed, treating phonons as a kind of particles transmitting diffusely through the interface without keeping the information of the side they come from. The transmission coefficient is determined by the phonon dispersion relations of both materials. The DMM often works well at higher temperature such as around the room temperature [16]. Some mixed models have also been developed which consider partially specular and partially diffuse transmission through the interface, yet based on simplified gray Debye’s approximation [14]. On the other hand, the portion of specular scattering at the interface, known as the interfacial specularity parameter, is difficult to specify in prior and has to be extracted from fitting the experimental results. Therefore, the DMM is currently the most popular one for describing interfacial phonon transport in realistic applications around room temperature inferred from some good agreements between Kapitza conductances measured by experiments and predicted by simulations for different material pairs [18], [19], [20].
Taking into account the aforementioned models for phonon transmission coefficient, people have paid much effort to study interfacial phonon transport by solving the phonon Boltzmann equation [14], [21], [22], [23], [24], [25]. Two categories of numerical schemes are currently available for the solution of Boltzmann equation, including the deterministic method (discrete-ordinates method [14], [25], finite volume method [21], lattice Boltzmann method [26] and so on) and the stochastic method (Monte Carlo method [22], [23], [24]). Monte Carlo method avoids directly solving the high-dimensional Boltzmann equation by tracking the phonon dynamics through the pseudo-particles. Therefore, the interface boundary treatment in Monte Carlo method is simpler with a clearer physical picture via mimicking the realistic phonon-interface scattering. As a result, the Monte Carlo method is a better choice compared with the deterministic methods for studying interfacial phonon transport with complex geometries. Jeng et al. [22] first used Monte Carlo method to model the thermal conductivity of nanoparticle composites based on the DMM under gray Debye’s approximation. Huang et al. [23] presented an improved Monte Carlo scheme to simulate interfacial phonon transport based on the gray mixed interface model proposed in Ref. [14]. Recently, Péraud and Hadjiconstantinou [24] modeled the Al/Si interfacial heat transport in transient thermo-reflectance experiments using energy-based variance-reduced Monte Carlo formulations based on a semi-spectral interface model considering gray transmission coefficient for each individual frequency at mono-direction [27]. Besides, there are several Monte Carlo simulations of phonon transport through grain boundaries in polycrystalline nanostructures with empirical expressions for spectral transmission coefficient [28], [29], [30]. To sum up, the previous Monte Carlo simulations of interfacial phonon transport merely considered a constant gray transmissivity at one direction or at both directions between dissimilar materials, in spite of an empirical treatment of frequency-dependent transmissivity through grain boundary within a single material. It remains to carefully consider the strongly frequency-dependent interfacial phonon transmissivity between dissimilar materials, which has been demonstrated significant in both microscopic computation [13] and recent experimental measurement [31].
The aim of the present work is to develop a numerical framework for interfacial phonon transport between two material pairs by introducing the spectral diffuse mismatch model (SDMM) into an energy-based variance-reduced Monte Carlo scheme. Although the SDMM is still a crude approximation to the realistic situation in interfacial phonon transport [18], it is the most appropriate theoretical model available currently. In principle, when supplied with the detailed frequency-dependent phonon transmissivity from recent first-principle calculation [32], [33], the phonon Boltzmann modeling can provide a more accurate description of interfacial heat transport. Yet for the convenience of development of numerical framework, we take the classical SDMM into account as a first step. The inclusion of ab initio frequency-dependent transmissivity into the present Monte Carlo scheme is straightforward and will be investigated in the future work. The remaining of this article is organized as below: a brief fundamental knowledge of the kinetic-type Monte Carlo method and a detailed introduction of the novel interface boundary treatment, are presented in Section 2. Section 3 gives the validation of our Monte Carlo framework by modeling cross-plane phonon transport through both single-layer and bi-layer thin films. Two pertinent applications are studied in Section 4: including the size effect and roughness effect on Kapitza conductance. Concluding remarks are finally made in Section 5.
Section snippets
Numerical method
Phonon Monte Carlo scheme is a kind of pseudo-particle method to solve the phonon Boltzmann equation [34], with its earlier counterpart in rarefied gas flow the direct simulation Monte Carlo (DSMC) [35], [36], [37], [38]. It takes statistical samples (phonon energy packets in this work) to simulate phonon dynamics, where the drift process and scattering process take place separately. The required macroscopic information (temperature, heat flux, and so on) is then extracted by averaging over
Numerical validations
In this section, the numerical framework introduced in Section 2 is validated by simulating cross-plane phonon transport through single-layer thin films in Fig. 2(a), made of Si, Al, and Ge separately, and cross-plane interfacial phonon transport through bi-layer thin films in Fig. 2(b), including Al/Si and Ge/Si respectively, at 300 K. The dispersion relations and relaxation time expressions of the three materials are provided in Appendix B. A benchmark for Monte Carlo simulation of
Results and discussion
In this section, the validated Monte Carlo framework is applied to study two important effects in interfacial phonon transport: size effect and interface roughness effect on Kapitza conductance.
Conclusions
In summary, we present a Monte Carlo framework to model interfacial phonon transport between dissimilar materials with a frequency-dependent transmissivity based on the spectral diffuse mismatch model. After careful validations, the present Monte Carlo framework is applied to study the size effect on Kapitza conductance and the interface roughness effect. For the size effect, the results show that: the Kapitza conductance based on the equivalent equilibrium temperature is slightly influenced by
Conflict of interest
We declare that there is no conflict of interests for this work.
Acknowledgements
The authors appreciate very much the helpful discussions with Dr. J. P.M. Péraud. This work is financially supported by NSF of China (No.51621062, 91634107).
References (61)
- et al.
Phonon hydrodynamics and its applications in nanoscale heat transport
Phys. Rep.
(2015) - et al.
Lattice Boltzmann modeling of phonon transport
J. Comput. Phys.
(2016) - et al.
Simulations for gas flows in microgeometries using the direct simulation Monte Carlo method
Int. J. Heat Fluid Flow
(2004) Nanoscale Energy Transport and Conversion: A Parallel Treatment of Electrons, Molecules, Phonons, and Photons
(2005)- et al.
Graphene quilts for thermal management of high-power GaN transistors
Nat. Commun.
(2012) - et al.
Complex thermoelectric materials
Nat. Mater.
(2008) Thermal transport across solid interfaces with nanoscale imperfections: effects of roughness, disorder, dislocations, and bonding on thermal boundary conductance
ISRN Mech. Eng.
(2013)- et al.
Optimization of thermoelectric properties for rough nano-ridge GaAs/AlAs superlattice structure
AIP Adv.
(2016) - et al.
Non-fourier heat conductions in nanomaterials
J. Appl. Phys.
(2011) - et al.
Roles of atomic restructuring in interfacial phonon transport
Phys. Rev. B
(2010)
Thermal interface conductance in Si/Ge superlattices by equilibrium molecular dynamics
Phys. Rev. B
Thermal transport across a substrate-thin-film interface: effects of film thickness and surface roughness
Phys. Rev. Lett.
Simulation of interfacial phonon transport in Si–Ge heterostructures using an atomistic green’s function method
J. Heat Transfer
Phonon scattering at a rough interface between two fcc lattices
J. Appl. Phys.
Effect of lattice mismatch on phonon transmission and interface thermal conductance across dissimilar material interfaces
Phys. Rev. B
Thermal conductivity and ballistic-phonon transport in the cross-plane direction of superlattices
Phys. Rev. B
The transport of heat between dissimilar solids at low temperatures
Can. J. Phys.
Thermal boundary resistance
Rev. Mod. Phys.
Effect of interfacial roughness on phonon radiative heat conduction
ASME Trans. J. Heat Transfer
Probing the validity of the diffuse mismatch model for phonons using atomistic simulations
Phys. Rev. B
Thermal boundary conductance: a materials science perspective
Annu. Rev. Mater. Res.
Examining interfacial diffuse phonon scattering through transient thermoreflectance measurements of thermal boundary conductance
J. Heat Transfer
Computation of sub-micron thermal transport using an unstructured finite volume method
J. Heat Transfer
Modeling the thermal conductivity and phonon transport in nanoparticle composites using monte carlo simulation
J. Heat Transfer
A fast Monte-Carlo solver for phonon transport in nanostructured semiconductors
Comput. Model. Eng. Sci. (CMES)
Efficient simulation of multidimensional phonon transport using energy-based variance-reduced Monte Carlo formulations
Phys. Rev. B
Phonon transport in silicon-diamond thin film pairs: consideration of thermal boundary resistance due to cutoff mismatch and diffusive mismatch models
Num. Heat Transfer Part A: Appl.
Quasiballistic heat transfer studied using the frequency-dependent Boltzmann transport equation
Phys. Rev. B
Effective phonon mean free path in polycrystalline nanostructures
Appl. Phys. Lett.
Importance of frequency-dependent grain boundary scattering in nanocrystalline silicon and silicon–germanium thermoelectrics
Semicond. Sci. Technol.
Cited by (41)
A hybrid Monte Carlo-discrete ordinates method for phonon transport in micro/nanosystems with rough interfaces
2023, International Journal of Heat and Mass TransferCitation Excerpt :It enables particle-based treatments to capture the phonon behaviors near the small region of complex interfaces, while simulating the phonon transport in the large bulk region in a deterministic way which leads to a better balance of accuracy and efficiency. A novel algorithm for the information exchange at the interface between the MC and DOM subdomains is proposed based on the formulation of cumulative distributions, and the individual methods inside the MC and DOM subdomain in the present study follow the author's previous works [47–49]. Specifically, the energy-based deviational formulations of MC method based on the linearized phonon BTE is used to reduce the statistical variation, ensure the exact energy conservation and acquire additional computational benefits [50,51], and the steady-state scheme under the small temperature difference (so called the “kinetic-type” MC) is adopted in developing the present hybrid method to avoid extra simulation for the transient evolution [52,53].
Importance of electron-phonon coupling in thermal transport in metal/semiconductor multilayer films
2023, International Journal of Heat and Mass TransferA theoretical and simulation study of phonon flow within single-interface systems
2022, Journal of Computational ScienceCitation Excerpt :In all the following simulations, these quantities are monitored and steady statistics are not collected until a steady state is achieved. To ensure the accuracy of the self-coded simulation tool, we re-simulated the cases of L= 60 nm and L= 110 nm by Ran et al. [34] in use of their dispersion relations, scattering mechanisms, and empirical constants. The results are compared in Fig. 5, and a very good agreement is obtained for both the temperature distributions and the interfacial thermal resistances.
Effect of interfacial roughness on thermal boundary conductance: An elastic wave model using the Kirchhoff approximation
2022, International Journal of Mechanical SciencesRevisiting thermal conductivity and interface conductance at the nanoscale
2022, International Journal of Heat and Mass Transfer