Short-to-medium range structure and glass-forming ability in metallic glasses
Jingli Ren
Henan Academy of Big Data, Zhengzhou University, Zhengzhou 450052, China
EXTENDED ABSTRACT: Metallic glasses (MGs) with many superior mechanical and physical properties and thus have attracted tremendous research interest across the general field of condensed matter physics and materials science. These excellent properties are closely related to the structural characteristics of short-range order and long-range disorder. However, it is a though work to explore the stacking of short-range to long-range structure. Therefore, understanding the underlying physics as well as charactering the order degree of structural units in a quantitative manner is the most challenge issues in glass physics and material science. Moreover, exploring suitable experimental conditions that MGs are easy to form according to atomic structure is conducive to the application. This study investigates the atomistic models, changes of structural units with scale, and glass forming ability in response to variant compositions and cooling rates. The structural units are obtained by molecular dynamics and hierarchical clustering. In the clustering model, a nesting relationship from small-scale units to large-scale units, i.e., from short-range order to medium range order, is observed during the hierarchical clustering. Moreover, the orderly evolution of structural units is characterized by the skewness and fractal dimension. The skewness increases but the fractal dimension decreases with increasing the scale size, which indicates that the order degree is descending. Interestingly, the result about the packing efficiency of structural units suggests that an exorbitant cooling rate will inhibit glass-forming ability.
Ren Jingli, a Professor of Zhengzhou University, and currently is the Deputy Dean of Henan Academy of Big Data. She won titles of the New Century Excellent Researcher of Ministry of Education, Humboldt scholar of Germany, Academic Leaders in Henan Province, Distinguished Professor of Henan Province, Outstanding Expert of Henan Province, Leading Talent of central plains. Her research interests include applied mathematics and data science. Prof. Ren conducted 5 Projects of National Nature Science Foundation of China, and 5 Provincial Projects. She won two second prizes for Science and Technology Progress Award in Henan Province and one second prize for Henan Natural Science as the first completed adult. Moreover, she published over 90 international journal papers in Acta Mater., Appl. Phys. Lett., IEEE Trans. SMC, Infor. Sci., J. Stat. Phys., J. Nonlinear Sci., Phys. Rev. B, Phys. Rev. E, Sci. China Phys., and Sci. China Mater etc., which involve many science fields such as mathematics, information, statistics, materials and physics.