31 citations · 54 across the 3 of their papers we have counts for
3 papers
cond-mat.soft2024★ 15 cited
Tutorial: AI-assisted exploration and active design of polymers with high intrinsic thermal conductivity
Xiang Huang, Shenghong Ju
Designing polymers with high intrinsic thermal conductivity (TC) is critically important for the thermal management of organic electronics and photonics. However, this is a challen…
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…
cond-mat.soft2024★ 8 cited
Tunable thermal conductivity of sustainable geopolymers by Si/Al ratio and moisture content: insights from atomistic simulations
Wenkai Liu, Shenghong Ju
In this work, the effects of Si/Al ratio and moisture content on thermal transport in sustainable geopolymers has been comprehensively investigated by using the molecular dynamics…