3 papers
cond-mat.mtrl-sci2021
Phase field simulation of grain size effects in nanograined Ti-Nb shape memory alloys
Jiawei Mai, Yuquan Zhu, Tao Xu +1
Titanium-based shape memory alloys, such as Ti2448, have attracted enormous attention owing to their unique thermomechanical properties and potential biomedical applications. In th…
cond-mat.mtrl-sci2021
Accelerated design of linear-superelastic Ti-Nb nanocomposite alloys with ultralow modulus via high-throughput phase-field simulations and machine learning
Yuquan Zhu, Tao Xu, Qinghua Wei +4
The controlled design of martensitic transformation (MT) to achieve specific properties is crucial for the innovative application of shape memory alloys (SMAs) in advanced technolo…
physics.app-ph2020
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…