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    Scientific Programs

    Poster Image
    Title Machine Learning on Condensed Matter Physics and Material Science
    Place 온라인
    Date 2022-11-04~ 2022-11-04 (Registerable Date : ~ 2022-11-03)
    Program Category 3
    Organizer Hunpyo Lee ( Kangwon National University)
    In-Ho Lee ( KRISS)
    HeungSik Kim ( Kangwon National University)
    SCOPE OF PROGRAM
    Machine learning and data-driven sciences and their applications to various fields of science and engineering, including condensed matter and materials physics, has been intensively studied recently. This TRP program aims to organize an informal-style gathering of condensed matter, materials physics and (quantum) machine learning researchers who independently have studied this emerging field of science, and to activate communication and collaboration between domestic and international researchers. Tentative subjects to be addressed are as follows;

    - Data driven discovery and inverse materials design.
    - Deep learning applications in physics and materials science.
    - Machine learning-accelerated numerical algorithms.
    - Quantum machine learning.

    LIST OF SPEAKERS
    Prof. HeungSik Kim (Kangwon National University)
    Dr. In-Ho Lee (KRISS)
    Dr. Jino Im (KRICT)

    here will be 3 talks. Tentative time table is as follows;
    11/04 (Friday)
    13:00- to 13:30 -Registration and greetings
    13:30 to 15:00 - In-Ho Lee: Design of Super Functional Materials and Devices using Artificial Intelligence
    15:00 to 16:30 - Jino Im: Electronic structure-based descriptors for machine learning study of thermoelectric properties
    16:30 to 18:00 - HeungSik Kim: Probing energy landscape of crystalline materials via crystal graph neural networks - a progress rep