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Descriptor selection for predicting interfacial thermal resistance by machine learning methods
Interfacial thermal resistance (ITR) is a critical property for the performance of nanostructured devices where phonon mean free paths are larger than the characteristic length scales. The affordable, accurate and reliable prediction of ITR is essential for material selection in thermal management....
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Nature Publishing Group UK
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7804206/ https://www.ncbi.nlm.nih.gov/pubmed/33436976 http://dx.doi.org/10.1038/s41598-020-80795-z |