3 citations · 4 across the 9 of their papers we have counts for
9 papers
Higher-Order-Phonon Scattering Governs Targeted Control of Heat Conduction in Bulk Boron Arsenide
Tianhao Li, Yangjun Qin, Dongkai Pan +3
Conventional approaches for modulating thermal conductivity usually rely on structural modifications and therefore cannot achieve reversible in situ regulation. Targeted phonon exc…
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…
Achieving ultra-high anisotropy in thermal conductivity of plastic crystal through megapascal pressure of hot pressing
Zhipeng Wu, Mingzhi Fan, Yangjun Qin +2
Plastic crystals, owing to their exceptional properties, are gradually finding applications in solid-state refrigeration and ferroelectric fields. However, their inherently low the…
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…
Using Targeted Phonon Excitation to Modulate Thermal Conductivity of Boron Nitride
Dongkai Pan, Xiao Wan, Tianhao Li +3
Recent advancements in thermal conductivity modulating strategies have shown promising enhancements to the thermal management capabilities of two-dimensional materials. In this art…
The effect of dataset size and the process of big data mining for investigating solar-thermal desalination by using machine learning
Guilong Peng, Senshan Sun, Zhenwei Xu +6
Machine learning's application in solar-thermal desalination is limited by data shortage and inconsistent analysis. This study develops an optimized dataset collection and analysis…
Enhancing interfacial thermal conductance of Si/PVDF by strengthening atomic couplings
Zhicheng Zong, Shichen Deng, Yangjun Qin +4
The thermal transport across inorganic/organic interfaces attracts interest for both academic and industry due to its widely applications in flexible electronics etc. Here, the int…
Modulating Thermal Conductivity via Targeted Phonon Excitation
Xiao Wan, Dongkai Pan, Jing-Tao Lü +6
Thermal conductivity is a critical material property in numerous applications, such as those related to thermoelectric devices and heat dissipation. Effectively modulating thermal…