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Host

  • Prof. Xiang-Dong Ding

    State Key Laboratory for Mechanical Behavior of Materials, Xi'an Jiaotong University, Xi'an, Shaanxi, China.

Speaker(s)

  • Prof. Turab Lookman

    AiMaterials Research, LLC, Santa Fe, New Mexico, United States.

    Turab Lookman obtained his Ph.D. from Kings College, University of London, and held university appointments at Western University and the University of Toronto in Canada until 1999. He was until 2019 a Laboratory Fellow at Los Alamos National Laboratory and since then has been a consultant at AiMaterials Research. His interests and expertise lie in hard and soft materials science and condensed matter physics, applied mathematics, and computational methods.

Abstract

There has been considerable interest in understanding and using methods from data science for the purposes of accelerating materials discovery. The Materials Genome Initiative dates back to 2011, and my own research in this area started in 2012-2013 when I led a LANL research effort focused on employing information directed approaches towards finding materials with targeted properties. Many of the advances over the last several years in this emerging field of Materials Informatics have been surveyed by multiple authors in numerous reviews. I will therefore focus here on the motivation of some my own work performed with my collaborators, and review some of the recent advances and discuss future challenges.

Presentation

  • Prof. Turab Lookman
    Topic: Information-directed approaches to materials discovery
  • Topic: Free discussion
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