most citedExploring high thermal conductivity polymers via interpretable machine learning with physical descriptors

71 citations · 71 across the 1 of their papers we have counts for

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cond-mat.mtrl-sci2023★ 71 cited

Exploring high thermal conductivity polymers via interpretable machine learning with physical descriptors

Xiang Huang, Shengluo Ma, C. Y. Zhao +2

The efficient and economical exploitation of polymers with high thermal conductivity is essential to solve the issue of heat dissipation in organic devices. Currently, the experime…