Jingui Yu

Prof. Dr. Jingui Yu


Research Focus & Metrics

Academic Career Length

13Years (2014-Present)

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

Representative Publications

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17 February 2023 in Science Advances
Verified
Journal Article
Closed access
ZZZhe Zhang
Zhe Zhang
KLKuo Li
Kuo Li
SLShangchao Lin
Shangchao Lin
RSRuiqi Song
Ruiqi Song
DYDehong Yu
Dehong Yu
BLBing Li
Bing Li
To harvest and reuse low-temperature waste heat, we propose and realize an emergent concept—barocaloric thermal batteries based on the large inverse barocaloric effect of ammonium thiocyanate (NH 4 SCN). Thermal charging is initialized upon pressurization through an order-to-disorder phase transition, and the discharging of 43 J g −1 takes place at depressurization, which is 11 times more than the input mechanical energy. The thermodynamic equilibrium nature of the pressure-restrained heat-carrying phase guarantees stable long-duration storage. The barocaloric thermal batteries reinforced by their solid microscopic mechanism are expected to substantially advance the ability to take advantage of waste heat.

7 March 2023 in Nanomaterials
Verified
Journal Article
Open access
PDF file
JYJingui Yu
Jingui Yu
FYFaping Yu
Faping Yu
QFQiang Fu
Qiang Fu
GZGang ZHAO
Gang ZHAO
CGCaiyun Gong
Caiyun Gong
QZQiaoxin Zhang
Qiaoxin Zhang
Compared with traditional alloys, high-entropy alloys have better mechanical properties and corrosion resistance. However, their mechanical properties and microstructural evolution behavior are unclear due to their complex composition. Machine learning has powerful data processing and analysis capabilities, that provides technical advantages for in-depth study of the mechanical properties of high-entropy alloys. Thus, we combined machine learning and molecular dynamics to predict the mechanical properties of FeNiCrCoCu high-entropy alloys. The optimal multiple linear regression machine learning algorithm predicts that the optimal composition is Fe33Ni32Cr11Co11Cu13 high-entropy alloy, with a tensile strength of 28.25 GPa. Furthermore, molecular dynamics is used to verify the predicted mechanical properties of high-entropy alloys, and it is found that the error between the tensile strength predicted by machine learning and the tensile strength obtained by molecular dynamics simulation is within 0.5%. Moreover, the tensile-compression asymmetry of Fe33Ni32Cr11Co11Cu13 high-entropy alloy increased with the increase of temperature and Cu content and the decrease of Fe content. This is due to the increase in stress caused by twinning during compression and the decrease in stress due to dislocation slip during stretching. Interestingly, high-entropy alloy coatings reduce the tensile-compression asymmetry of nickel; this is attributed to the reduced influence of dislocations and twinning at the interface between the high-entropy alloy and the nickel matrix.

1 April 2019 in Journal of Alloys and Compounds
Verified
Journal Article
Closed access
CDChao Dong
Chao Dong
XBXianlei Bi
Xianlei Bi
JYJingui Yu
Jingui Yu
RLRong Liu
Rong Liu
QZQiaoxin Zhang
Qiaoxin Zhang

13 December 2021 in Nanotechnology
Verified
Journal Article
Open access
JZJinjie Zhou
Jinjie Zhou
YHYingle He
Yingle He
JSJinchuan Shen
Jinchuan Shen
Fadl A. EssaFadl A. Essa
Fadl A. Essa
JYJingui Yu
Jingui Yu
Nickel-based single crystal alloys have excellent mechanical properties due to its unique two-phase structure and interface. Therefore, molecular dynamics methods were used to simulate nanoindentation and microstructural evolution. We found the indenter reaction force and hardness of the Ni3Al phase is the largest. The pop-in event in Ni3Al phase is more obvious than that in the Ni phase and Ni/Ni3Al phase. Because lots of dislocations in the Ni3Al phase break through the barrier of the interface and cut into the Ni phase, while dislocations in the Ni phase only slip inside the Ni phase. Moreover, we found that the position of the starting point of the adhesion force recovery is mainly related to the elastic recovery of the material. The stronger the elastic recovery of the phase, the smaller the depth value corresponding to the starting point of the recovery. We further studied the variation of potential energy with indentation depth and found that the change of wave trough of the load–displacement (P–h) curve is related to stacking fault energy. This study has important theoretical guiding significance for the in-depth understanding and engineering application of the mechanical properties of nickel-based single crystal alloys.

16 July 2014 in RSC Advances
Verified
Journal Article
Closed access
PDF file
JYJingui Yu
Jingui Yu
QZQiaoxin Zhang
Qiaoxin Zhang
RLRong Liu
Rong Liu
ZYZhufeng Yue
Zhufeng Yue
MTMingkai Tang
Mingkai Tang
XLXuewu Li
Xuewu Li
The primary purpose of this paper is to study intergranular and transgranular crack propagation behavior at the grain boundary (GB) of Ni/Ni3Al by Molecular Dynamics (MD) simulation. Cracks are loaded in tension mode I. The stress–strain curves, the changes of dislocation network, the crack propagation speeds and the changes of interfacial energy are compared with those of two models. The results show that the yield stress of the intergranular crack model is greater than that of the transgranular crack model. It is found that the intergranular crack propagation does not extend along the GB, but the crack extends into the γ′ phase. In addition, the transgranular crack extends at an angle of 45° and the dislocation moves on the slip system {11} [01]. The transgranular crack model breaks completely under a small strain. Moreover, the tranagranular crack propagation results from deformation damage of the model, and its propagation mechanism is shear rupture along the slip plane. The intergranular crack initiates propagation at the most dense position of the slip bands.