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Quantum-corrected thickness-dependent thermal conductivity in amorphous silicon predicted by machine learning molecular dynamics simulations
Amorphous silicon (a-Si) is an important thermal-management material and also serves as an ideal playground for studying heat transport in strongly disordered materials. Theoretical prediction of the thermal conductivity of a-Si in a wide range of temperatures and sample sizes is still a challenge....
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Main Authors: | , , , , |
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Format: | Default Article |
Published: |
2023
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Subjects: | |
Online Access: | https://hdl.handle.net/2134/22035311.v1 |
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