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20222024
most citedExploring high thermal conductivity polymers via interpretable machine learning with physical descriptors

71 citations · 147 across the 8 of their papers we have counts for

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cond-mat.soft2024★ 31 cited

AI-assisted inverse design of sequence-ordered high intrinsic thermal conductivity polymers

Xiang Huang, C. Y. Zhao, Hong Wang +1

Artificial intelligence (AI) promotes the polymer design paradigm from a traditional trial-and-error approach to a data-driven style. Achieving high thermal conductivity (TC) for i…