프로그램
세션 트랙
4월 28일 (목요일)
전산2
전산재료과학
좌장 : 장효선(한국재료연구원) 10:45-12:00
화상강의실 바로가기
화상강의실 비밀번호는 kim2022입니다
전산2-1학생구두발표
10:45
제일원리계산과 기계학습으로 고엔트로피 합금 내 석출물을 정확하고 효율적으로 예측하는 방법
도경연, 김선규, 김신현, 이동화* (포항공과대학교)
전산2-2학생구두발표
11:00
Defect Formation Energy in Metal Uranium by Machine Learning Potential: a Molecular Dynamics Study
Jae-Hyuk Kim and Takuji Oda* (Seoul National University)
전산2-3학생구두발표
11:15
Development of Machine Learning Potential Model for Li2TiO3
Donggyu Lee and Takuji Oda* (Seoul National Univ.)
전산2-4학생구두발표
11:30
Computational analysis on quantum diffusivity of hydrogen in bcc iron: Application of machine learning interatomic potential
Hyukjoon Kwon and Takuji Oda* (Seoul National University)
전산2-5학생구두발표
11:45
Development of a universal descriptor for dielectric materials with an artificial intelligence
Se-Jun Kim (Korea Advanced Institute of Science and Technology), Won June Kim* (Changwon National University), Eok-Kyun Lee*, and Hyungjun Kim* (Korea Advanced Institute of Science and Technology)