2-1. Materials genome with characterization and processing of digital microstructure data
Mo Li
School of Materials Science and Engineering, Georgia Institute of Technology, Atlanta, Georgia 30332, United States
Abstract:Like traditional metallography that has played important roles in materials engineering and science for the past centuries, digitization of microstructure is part of the modern advances that promises to revolutionize synthesis, processing, and application of a vast number of materials. Compared to metallography, digital microstructure involves data with unprecedented magnitude of size and scale. How to characterize, quantify, and properly process these data becomes a central issue in materials genome project that relies on the structure-property relations to design, predict and verify the material properties and performances.
In this talk, I will review the experimental as well as numerical methods in acquiring and processing digital microstructure data. In particular, I will discuss the challenges and breakthroughs for high throughput data gathering and processing. One of the difficulties is the missing data. Dealing with missing information is the first and most important step in DM data gathering and processing as it is expected to impact significantly the downstream applications in microstructure reconstruction, quantification and characterization, as well as the vast number of applications pivoted on microstructure-property relations. I will then show the possibilities to recover and reconstruct the digital microstructures using advanced methodologies.
Prof. Li received his B.S, in materials science from Central South University in China and Ph.D. in applied physics from California Institute of Technology. After a brief staying as a postdoctoral fellow at Caltech and the Argonne National Laboratory, he joined the investment bank Morgan Stanley & Co. in New York. He came back to academia in 1998. From 1998 to 2001, he was an assistant professor at the Johns Hopkins University. Currently, he is a professor at the Georgia Institute of Technology. He is the recipient of the National Thousands Talent Program Award of China and the Alexander von Humboldt Young researcher award.
Professor Li's research focuses on understanding fundamental properties and processes of materials, and predicting material behaviors. The approaches used in his research are a blend of those from statistical physics, solid state physics, materials science, metallurgy, mechanics and large scale, high performance computing. His research focuses on algorithm development, simulation, and theoretical analysis.
Email: moliatgmal@gmail.com