Modeling thermal transport in AlN/GaN superlattices and heterostructures with machine-learned force fields

Thermal transport in superlattices is particularly rich because it can exhibit three distinct transport regimes: coherent wave-like, ballistic incoherent, and diffusive propagation, each governed by different physical mechanisms. Coherent transport is especially promising for technological applications because it enables control of heat flow through band-structure engineering, interference effects, and phononic filtering in ways that are not accessible in purely diffusive materials. In this work, we investigate thermal transport across AlN/GaN heterostructure interfaces and superlattices using molecular dynamics simulations and the Atomistic Green's Function method in combination with a machine-learned force field potential. Our results are compared with analytical models and previous literature. For AlN/GaN interfaces, we find that inelastic phonon transmission contributes a significant fraction of the thermal boundary conductance, and we develop an inelastic extension of the diffuse mismatch model that accounts for all possible three-phonon processes. In the superlattice thermal conductivity, we observe a minimum at a period of approximately 2 nm, together with multiple signatures of partially coherent acoustic transport persisting even at room temperature. The results further reveal a fundamental contrast in the role of anharmonicity between isolated interfaces and periodic superlattices, where it enhances interfacial conductance in the former while suppressing thermal transport in the latter.

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Publication Details

Journal
Journal of Physics Condensed Matter
Published
2026-06-29
DOI
https://doi.org/10.1088/1361-648x/ae83fa
Primary Topic
Thermal properties of materials
Type
article
Field-Weighted Citation Impact
0.00

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article

Modeling thermal transport in AlN/GaN superlattices and heterostructures with machine-learned force fields

Simon Fernbach
Journal of Physics Condensed Matter
Thermal properties of materials
article

Modeling thermal transport in AlN/GaN superlattices and heterostructures with machine-learned force fields

Simon Fernbach
article en

Abstract

Thermal transport in superlattices is particularly rich because it can exhibit three distinct transport regimes: coherent wave-like, ballistic incoherent, and diffusive propagation, each governed by different physical mechanisms. Coherent transport is especially promising for technological applications because it enables control of heat flow through band-structure engineering, interference effects, and phononic filtering in ways that are not accessible in purely diffusive materials. In this work, we investigate thermal transport across AlN/GaN heterostructure interfaces and superlattices using molecular dynamics simulations and the Atomistic Green's Function method in combination with a machine-learned force field potential. Our results are compared with analytical models and previous literature. For AlN/GaN interfaces, we find that inelastic phonon transmission contributes a significant fraction of the thermal boundary conductance, and we develop an inelastic extension of the diffuse mismatch model that accounts for all possible three-phonon processes. In the superlattice thermal conductivity, we observe a minimum at a period of approximately 2 nm, together with multiple signatures of partially coherent acoustic transport persisting even at room temperature. The results further reveal a fundamental contrast in the role of anharmonicity between isolated interfaces and periodic superlattices, where it enhances interfacial conductance in the former while suppressing thermal transport in the latter.

Journal of Physics Condensed Matter
Materials Center Leoben (Austria) (AT)
Electronic Components and Systems for European Leadership
Openalex Percentile: Top 16%
Thermal properties of materials
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