화학공학소재연구정보센터
학회 한국화학공학회
학술대회 2021년 봄 (04/21 ~ 04/23, 부산 BEXCO)
권호 27권 1호, p.45
발표분야 [주제별심포지엄]실험과 분자모사의 융합 심포지엄
제목 Computational Porous MaterialsDesign and Applications
초록 In this work, I will present our group’s recent effort in using the principles of rational materials design to facilitate synthesis of metal-organic framework (MOF) composite materials. In particular, we focus on designing MOF@MOF materials using the algorithm developed within our lab and our theoretical predictions have led to discovery/synthesis of new composite porous materials. Finally, we apply our computational tools to help facilitate synthesis of new chemiresistive sensor materials with excellent performance for toxic gas detection.
저자 김지한
소속 한국과학기술원 생명화학공학과
키워드 Porous materials; machine learning; computational simulations
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