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OpenBTE: a Solver for ab-initio Phonon Transport in Multidimensional Structures

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arxiv 2106.02764 v1 pith:ZBFIM5HP submitted 2021-06-05 cond-mat.mtrl-sci cond-mat.mes-hall

classification cond-mat.mtrl-scicond-mat.mes-hall
keywords openbteheatstructuresthermaltransportapplicationsbeencalculations
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Controlling heat flow at the nanoscales is pivotal to several applications, including thermal energy harvesting and heat management. However, engineering nanostructures is challenging because phonon-boundary interaction, not contemplated by Fourier's law, must be taken into account. Nondiffusive models, such as the Boltzmann transport equation (BTE), have been successfully employed to capture size effects in complex structures; however, their widespread has been hindered by the limited offer of open-source solvers in this space. We fill this void by introducing OpenBTE, an efficient solver for the steady-state phonon BTE in multidimensional structures. This tool is interfaced to first-principles calculations, thus it unlocks the calculations of thermal-related properties with no fitting-parameters. As an example, we employ OpenBTE to compute the temperature and flux maps, as well as the mode-resolved, effective thermal conductivity of Si membranes with infinite and finite thickness. By unlocking fast nanoscale heat transport simulations, OpenBTE may help accelerate the design of nanomaterials for thermal energy applications.

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Cited by 2 Pith papers

Reviewed papers in the Pith corpus that reference this work. Sorted by Pith novelty score.

  1. When heat goes astray -- non-local heating in a semiconductor

    cond-mat.mes-hall 2026-04 unverdicted novelty 7.0 of 10

    Non-local heating in laterally structured semiconductor membranes can exceed local laser heating due to ballistic phonons on micrometer scales, violating the locality assumption of Fourier's law.

  2. Physics Enhanced Deep Surrogates for the Phonon Boltzmann Transport Equation

    physics.comp-ph 2025-11 conditional novelty 5.0 of 10

    Embedding a differentiable Fourier solver as a low-fidelity physics core lets a neural surrogate predict phonon-BTE conductivity of porous nanostructures to ~5% error with 300 BTE simulations and design targets at ~4%...

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