Activities
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Activities
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Scientific Programs
Scientific Programs
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| 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) |
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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 |