122 citations · 185 across the 7 of their papers we have counts for
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cond-mat.mtrl-sci2021
Scale-invariant Machine-learning Model Accelerates the Discovery of Quaternary Chalcogenides with Ultralow Lattice Thermal Conductivity
Koushik Pal, Cheol Woo Park, Yi Xia +2
Intrinsically low lattice thermal conductivity () is a desired requirement in many crystalline solids such as thermal barrier coatings and thermoelectrics. Here, we design an…
cond-mat.mtrl-sci2021★ 2 cited
Exploring low lattice thermal conductivity materials using chemical bonding principles
Jiangang He, Yi Xia, Wenwen Lin +4
Semiconductors with very low lattice thermal conductivities are highly desired for applications relevant to thermal energy conversion and management, such as thermoelectrics and th…