Invited Speaker
Prof. Yanli Lu
State Key Laboratory of Solidification Processing,Northwestern Polytechnical University, China
Speech Title: Composition Design and Validation of Au–Pt Alloys with Ultra-low Magnetic Susceptibility: Insights from First-principles and Experiments
Abstract: Gold-platinum (Au-Pt) alloy has aroused considerable attention due to its ultra-low magnetic susceptibility (MS) in testing mass (TM) on spacecraft. However, the effect of Au content on the properties of the alloy has not yet been understood. In this study, the composition design of Au-Pt alloy with ultra-low MS was achieved through density functional theory (DFT) and experimental methods. The elastic, thermal properties and electronic structure were systematically investigated, the composition range was further optimized and Au75Pt25 was determined to be the most suitable alloy for TM material. The phase composition of this alloy after cold rolling and solid solution was characterized, indicating a single-phase FCC structure. In addition, there is a good validation between the experimental Vickers hardness and the DFT results. This work provides new insights into the compositional optimization of Au-Pt alloys and lays the foundation for alloy development.
Keywords: Au-Pt alloy, ultra-low magnetic susceptibility, composition design, first principles, HAADF-STEM
Acknowledgements: This work was supported by the National Key R&D Program of China (2021YFC2202300), the National Natural Science Foundation of China (NSFC) (Grant No. 51974258), and National College Students Innovation and Entrepreneurship Training Program (S202210699134). The authors acknowledge Beijing PARATERA Tech CO., Ltd. for providing HPC resources that have contributed to the research results reported within this paper.
Biography: Yanli Lu is a Professor and Ph.D. supervisor at the School of Materials Science and Engineering, Northwestern Polytechnical University. Her research focuses on multiscale studies of microstructure and properties of advanced fundamental, strategic, and frontier materials, integrating experiments, first-principles calculations, phase-field modeling, and machine learning. She has led four projects funded by the National Natural Science Foundation of China and has published over 110 papers in prestigious journals such as International Journal of Fatigue, Computational Materials Science, and Journal of Materials Science and Technology, with more than 100 indexed by SCI.