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21 papers · 1 filter
Dual Role of Nb in Defect-Mediated Strength and Ductility of γ-TiAl Alloys
Zhiqiang Zhao, Siyao Shuang, Kepeng Ouyang +8
The origin of the superior high-temperature strength of γ-TiAl with high Nb addition remains highly controversial, largely due to the unclear role of Nb atoms. Using large-scale hy…
X-Ray microtomography of mercury intruded compacted clay: An insight into the geometry of macropores
Shengyang Yuan, Xianfeng Liu, Yongxin Wang +3
Soil properties, such as wetting collapse behavior and permeability, are strongly correlated to the soil microstructure. To date, several techniques including mercury intrusion por…
Hardness prediction of age-hardening aluminum alloy based on ensemble learning
Houchen Zuo, Yongquan Jiang, Yan Yang +2
With the rapid development of artificial intelligence, the combination of material database and machine learning has driven the progress of material informatics. Because aluminum a…
Prediction of properties of metal alloy materials based on machine learning
Houchen Zuo, Yongquan Jiang, Yan Yang +1
Density functional theory and its optimization algorithm are the main methods to calculate the properties in the field of materials. Although the calculation results are accurate,…
Constitutive modeling of the tension-compression behavior of gradient structured materials
Jianfeng Zhao, Xiaochong Lu, Jinling Liu +4
Gradient structured (GS) metals processed by severe plastic deformation techniques can be designed to achieve simultaneously high strength and high ductility. Significant kinematic…
Nickel coated carbon nanotubes in aluminum matrix composites: A multiscale simulation study
Samaneh Nasiri, Kai Wang, Mingjun Yang +2
In this work we use density functional theory (DFT) calculations to benchmark empirical potentials for the interaction between nickel and sp bonded carbon nanoparticles. These…