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青年科协沙龙(第494场):Nanoscale glassy materials:Science and technology

2025-07-24

主讲人:李默 教授,佐治亚理工大学

时间:2025年7月28日  10:00

地点:三一大楼506

报告摘要:

Different from crystalline materials, nanoscale disordered materials, including metallicglassy alloys and oxide glasses, possess unique and often advantageous properties, such asstructural isotropy, high catalytic properties, soft magnetic properties, high strength, and wear andcorrosion resistance. Ideally, they should ravel the crystalline counterparts in many applicationsespecially in nanoscales. In this talk, I will go over some of these unique properties to show thelpotential applications in various settings, and the challenges in synthesizing the desired nanoscalematerials, One example I will show is the formation of a one-dimensional order in nanoparticlesdue to surface tension and internal stress, This unigue structural order in a disordered materiademonstrates the metastability and its manifestation that are rarely seen in crystallinenanoparticles. The second example is a newly developed synthesis method using Joule heating toFinally, if time permits,produce nanoparticles of well-controlled size, composition and shape.will go over some challenges in characterizing and understanding disordered glassy nanomaterialsin modeling and experiments.

主讲人简介:

Professor Mo Li received his B.S. in Materials Science at the Central South UniversityChina and Ph.D. in applied physics in 1994 from California Institute of Technology. He had abrief staying as a postdoctoral fellow at Caltech and the Argonne National Laboratory. From 1998to 2001, he was an assistant professor at the Johns Hopkins University. Currently, he is aprofessor at the Georgia Institute of Technology. Professor Li's research focuses on understandingfundamental properties and processes of materials, and predicting material behaviors. Theapproaches used in his research are a blend of those from statistical physics, solid-state physicsmaterials science, metallurgy, mechanics and large scale, high performance computing. Hisresearch focuses on algorithm development, simulation, and theoretical analysis, He is therecipient of the National Thousands Talent Program Award of China (2009) and the Alexandervon Humboldt Prize (2023).