JAX-BTE: a GPU-accelerated differentiable solver for phonon Boltzmann transport equations

Abstract This paper introduces JAX-BTE, a GPU-accelerated, differentiable solver for the phonon Boltzmann Transport Equation (BTE) based on differentiable programming. JAX-BTE enables accurate, efficient and differentiable multiscale thermal modeling by leveraging high-performance GPU computing and...

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Bibliografiset tiedot

Päätekijät:	Wenjie Shang, Jiahang Zhou, J. P. Panda, Zhihao Xu, Yi Liu, Pan Du, Jian-Xun Wang, Tengfei Luo
Aineistotyyppi:	Artigo
Kieli:	Inglês
Julkaistu:	Nature Portfolio 2025-05-01
Sarja:	npj Computational Materials
Linkit:	https://doi.org/10.1038/s41524-025-01635-0
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