1 citations · 1 across the 3 of their papers we have counts for
4 papers
The substitutional atomic distance model for predicting lattice thermal conductivity in alloys
Zhicheng Zong, Tianhao Li, Shixian Liu +2
Understanding phonon transport in alloys is crucial for the design of high-performance electronic and thermoelectric devices. However, conventional theoretical models fail to provi…
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…
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…
Deep potential for interaction between hydrated Cs+ and graphene
Yangjun Qin, Liuhua Mu, Xiao Wan +3
The influence of hydrated cation-π interaction forces on the adsorption and filtration capabilities of graphene-based membrane materials is significant. However, the lack of intera…