167 citations · 360 across the 3 of their papers we have counts for
3 papers
physics.app-ph2020★ 167 cited
Analysis of Phase Formations and Mechanical Properties in Complex Concentrated Alloys by Machine Learning Approach
Jie Xiong, San-Qiang Shi, Tong-Yi Zhang
The mechanical properties of complex concentrated alloys (CCAs) depend on their forming phases and corresponding structures, the prediction of the phase formation for a given CCA i…
physics.app-ph2020★ 29 cited
Identifying the elastic isotropy of architectured materials based on deep learning method
Anran Wei, Jie Xiong, Weidong Yang +1
With the achievement on the additive manufacturing, the mechanical properties of architectured materials can be precisely designed by tailoring microstructures. As one of the prima…
physics.app-ph2020★ 164 cited
Machine Learning of Mechanical Properties of Steels
Jie Xiong, Tong-Yi Zhang, San-Qiang Shi
The mechanical properties are essential for structural materials. The analyzed 360 data on four mechanical properties of steels, viz. fatigue strength, tensile strength, fracture s…