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cond-mat.mtrl-sci2025
Machine learning potential for predicting thermal conductivity of θ-phase and amorphous Tantalum Nitride
Zhicheng Zong, Yangjun Qin, Jiahong Zhan +2
Tantalum nitride (TaN) has attracted considerable attention due to its unique electronic and thermal properties, high thermal conductivity, and applications in electronic component…
cond-mat.mtrl-sci2025
Unveiling the thermal transport mechanism in compressed plastic crystals assisted by deep potential
Yangjun Qin, Zhicheng Zong, Junwei Che +3
The unique properties of plastic crystals highlight their potential for use in solid-state refrigeration. However, their practical applications are limited by thermal hysteresis du…