Song Lijian

Mr. Song Lijian

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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8 June 2022 in ACS Sustainable Chemistry & Engineering
Verified
Journal Article
Closed access
ZZZhenghe Zhang
Zhenghe Zhang
SLSong Lijian
Song Lijian
LCLisheng Cheng
Lisheng Cheng
JTJing Tan
Jing Tan
WYWeimin Yang
Weimin Yang

4 May 2022 in Molecular Simulation
Verified
Journal Article
Closed access
SLSong Lijian
Song Lijian
YZYouchen Zhang
Youchen Zhang
JZJin Zhan
Jin Zhan
YAYing An
Ying An
WYWeimin Yang
Weimin Yang
LCLisheng Cheng
Lisheng Cheng
Rapid heat dissipation in dense-power and miniaturised electronic devices is becoming increasingly crucial as electrical technologies improve. Scientists have developed a number of thermal-conductive materials to enhance heat dissipation. Since then, polymer composites have attracted a lot of attention for their lightweight, anti-corrosion, and electrical insulating properties. Interfacial thermal resistance (ITR) is one of the most critical factors to elevate the thermal conductivity of composites. Toward ITR, the molecular dynamic (MD) simulation demonstrates its powerful capabilities for interpreting and predicting macroscopic thermal phenomena based on calculated microscopic structures, thermodynamics, kinetics, and other information. To make full use of MD simulations, one needs to validate the simulation results to ensure that the MD simulation is correctly carried out and the findings are meaningful, reliable and of good repeatability. With these considerations in mind, we highlight the role of MD simulations in heat transfer, the technical issues associated with the nonequilibrium molecular dynamic (NEMD) simulation, the analysis methods for the underlying mechanism, and the strategies to reduce ITR. Furthermore, we also make comments on the perspective of MD simulations in heat transfer.

28 October 2021 in Polymers
Verified
Journal Article
Open access
PDF file
SLSong Lijian
Song Lijian
YZYouchen Zhang
Youchen Zhang
Weimin YANGWeimin YANG
Weimin YANG
JTJing Tan
Jing Tan
LCLisheng Cheng
Lisheng Cheng
Understanding heat transfer across an interface is essential to a variety of applications, including thermal energy storage systems. Recent studies have shown that introducing a self-assembled monolayer (SAM) can decrease thermal resistance between solid and fluid. However, the effects of the molecular structure of SAM on interfacial thermal resistance (ITR) are still unclear. Using the gold–SAM/PEG system as a model, we performed nonequilibrium molecular dynamics simulations to calculate the ITR between the PEG and gold. We found that increasing the SAM angle value from 100° to 150° could decrease ITR from 140.85 × 10−9 to 113.79 × 10−9 m2 K/W owing to penetration of PEG into SAM chains, which promoted thermal transport across the interface. Moreover, a strong dependence of ITR on bond strength was also observed. When the SAM bond strength increased from 2 to 640 kcal⋅mol−1Å−2, ITR first decreased from 106.88 × 10−9 to 102.69 × 10−9 m2 K/W and then increased to 123.02 × 10−9 m2 K/W until reaching a steady state. The minimum ITR was obtained when the bond strength of SAM was close to that of PEG melt. The matching vibrational spectra facilitated the thermal transport between SAM chains and PEG. This work provides helpful information regarding the optimized design of SAM to enhance interfacial thermal transport.

20 May 2021
Verified
Conference Paper
Open access
SLSong Lijian
Song Lijian
LCLisheng Cheng
Lisheng Cheng
Weimin YANGWeimin YANG
Weimin YANG
JTJing Tan
Jing Tan
YZYouchen Zhang
Youchen Zhang
Molten alkali metal is demonstrated to improve the degree of graphitization of amorphous carbon (AC). Here, we simulated the structural-evolution of AC under molten potassium metal using reactive molecular dynamics. We found that potassium metal could promote the movement of carbon atoms at initial process, and then restricted their mobility. By analyzing the dynamic change with