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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| Principais autores: | , , , , , , , |
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| Format: | Artigo |
| Sprog: | Inglês |
| Udgivet: |
Nature Portfolio
2025-05-01
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| Serier: | npj Computational Materials |
| Online adgang: | https://doi.org/10.1038/s41524-025-01635-0 |
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