다목적 최적화 방법을 통한 유망한 물질의 신속한 발견을 위한 능동적 학습 과정 검증

다국어 초록 (Multilingual Abstract)

In the field of materials science, research is actively underway to search for materials that satisfy certain target properties. Although consideration is simple when there is one target property, it is difficult to consider in the case of multi target properties, which is most of the actual reality problems. Therefore, there is a need for a multi-objective optimization (MOO) algorithm with good performance that can consider several targets at the same time. In this study, we verify the performance of the active learning process through the MOO methods by applying the MOO methods to two-dimensional materials database. In the future, verification results for another database will be obtained, and verification results will be expanded to general materials. Through performance verification, efficient MOO guidelines can be presented.

목차 (Table of Contents)

• Abstract
• 1. 서론
• 2. 방법론
• 3. 결과 및 분석
• 4. 결론
• 참고문헌