• Data driven modeling application: from first principle to machine learning

  • Speaker : 심문보/ Munbo shim
    Affiliation : 삼성종합기술원 (Samsung Advanced Institute of Tech.)
    Date : May 2, 2018 4:00 PM
    Place : Building 110 Room N103
    Contact :
    Host : 박노정 / Noejung Park
  • Abstract

  • The discovery or design of new materials for technological applications had been an exhaustive process involving a series of trial-and-error experiments. With the aid of high-performance computing in recent decades, efficient computational material design methods, such as first-principle calculation and high-throughput computational screening, have been adopted to expedite materials discovery compared with conventional trial-and-error experimentations. Besides data-driven approaches with the recent advent of machine learning have emerged as one of the most efficient means to discover functional materials. In this talk, I introduce the data-driven modeling techniques for the design of new materials with several examples that include world-wide applications as well as our ones.