프로그램
세션 트랙
4월 29일 (목요일)
전산2
전산재료과학
좌장 : 김현유(충남대학교) 13:10-14:25
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전산2-1
13:10
열전소재 성능평가를 위한 효율계산 연구
류병기*, 정재환, 박수동 (한국전기연구원)
전산2-2학생구두발표
13:25
Semiconducting inorganic materials band-gap database with hybrid functional accuracy
Sangtae Kim, Miso Lee, Changho Hong, Youngchae Yoon, Hyungmin An, Dongheon Lee, Wonseok Jeong, Dongsun Yoo, Sangmin Oh (Seoul National Univ.), Youngho Kang (Incheon National Univ.), Yong Youn*, and Seungwu Han* (Seoul National Univ.)
전산2-3학생구두발표
13:40
Analysis of mixed alkali effect in glass transition temperature by machine learning
전진명, 여태민, 조중욱* (포항공과대학교)
전산2-4학생구두발표
13:55
Metadynamics sampling in atomic environment space for collecting training data for machine learning potentials
Jisu Jung* (Seoul National University), Dongsun Yoo (Seoul National University, Samsung Display Co., Ltd.), Wonseok Jeong, Seungwoo Hwang, and Seungwu Han (Seoul National University)
전산2-5학생구두발표
14:10
Estimation of Solid-liquid Interface Anisotropy Based on Phase-field Simulations and Machine Learning
Geunwoo Kim* (Hokkaido University), Tomohiro Takaki (Kyoto Institute of Technology), Yasushi Shibuta (The University of Tokyo), and Munekazu Ohno (Hokkaido University)