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TEM images of small precipita test in experimental alloys
DSC curve of 7075 aluminum alloy (a) and Liquid fraction ( fl) vs.
MLMD: a programming-free AI platform to predict and design materials
A physics-informed neural network framework to predict 3D temperature field without labeled data in process of laser metal deposition - ScienceDirect
Jianxin Xie's research works University of Science and Technology Beijing, Beijing (USTB) and other places
a) Aging response of the 8Zn–1.6Cu–4Mn–0.04Ag and 8Zn–1.6Cu–
A rapid and effective method for alloy materials design via sample data transfer machine learning
Machine learning-guided design and development of metallic structural materials
Machine learning guided alloy design of high-temperature NiTiHf shape memory alloys
Enhancing materials property prediction by leveraging computational and experimental data using deep transfer learning
SEM micrograph of 7075 aluminum alloy isothermally holding at 620 °C