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20242026
most citedMachine learning for predicting ultralow thermal conductivity and high ZT in complex thermoelectric materials

23 citations · 78 across the 13 of their papers we have counts for

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5 papers · 1 filter

cond-mat.mtrl-sci2024★ 10 cited

Copper delocalization leads to ultralow thermal conductivity in chalcohalide CuBiSeCl2

Yuzhou Hao, Junwei Che, Xiaoying Wang +5

Mixed anion halide-chalcogenide materials have attracted considerable attention due to their exceptional optoelectronic properties, making them promising candidates for various app…

cond-mat.mtrl-sci2024★ 20 cited

An interpretable formula for lattice thermal conductivity of crystals

Xiaoying Wang, Guoyu Shu, Guimei Zhu +5

Lattice thermal conductivity (kL) is a crucial physical property of crystals with applications in thermal management, such as heat dissipation, insulation, and thermoelectric energ…

cond-mat.mtrl-sci2024★ 7 cited

Bonding Hierarchy and Coordination Interaction Leading to High Thermoelectricity in Wide Bandgap TlAgI2

Xiaoying Wang, Mengyang Li, Minxuan Feng +6

High thermoelectric properties are associated with the phonon-glass electron-crystal paradigm. Conventional wisdom suggests that the optimal bandgap of semiconductor to achieve the…

cond-mat.mtrl-sci2024★ 23 cited

Machine learning for predicting ultralow thermal conductivity and high ZT in complex thermoelectric materials

Yuzhou Hao, Yuting Zuo, Jiongzhi Zheng +7

Efficient and precise calculations of thermal transport properties and figure of merit, alongside a deep comprehension of thermal transport mechanisms, are essential for the practi…

cond-mat.mtrl-sci2024★ 7 cited

Anomalous thermal conductivity in 2D silica nanocages of immobilizing noble gas atom

Yang Wang, Zhibin Gao, Xiaoying Wang +6

Noble gas atoms such as Kr and Xe are byproducts of nuclear fission in nuclear plants. How to trap and confine these volatile even radioactive gases is particularly challenging. Re…