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  • 05월 20일 18시 이후 : 초록수정 불가능, 일정확인 및 검색만 가능

제125회 대한화학회 학술발표회 및 총회 Enabling Predictive Molecular Simulations of Electrolytes for Next Generation Energy Storage Devices

등록일
2020년 2월 8일 22시 45분 47초
접수번호
1323
발표코드
PHYS3-2 이곳을 클릭하시면 발표코드에 대한 설명을 보실 수 있습니다.
발표시간
화 15시 : 50분
발표형식
심포지엄
발표분야
Physical Chemistry - Recent Progress in Theoretical and Computational Chemistry
저자 및
공동저자
Chang yun Son
Department of Chemistry, Pohang University of Science and Technology, Korea
High concentration liquid electrolytes, such as water-in-salt electrolytes and ionic liquids, as well as solid state polymer electrolytes are rapidly emerging materials to replace the flammable organic electrolytes widely used in industrial lithium ion batteries. Extensive efforts have been made to understand the mechanisms and to optimize the ion transport properties, which are strongly coupled to the solvent/polymer dynamics in both types of electrolytes. Molecular dynamics (MD) simulation of these systems is challenging due to a number of reasons, including lack of predictive force fields, complex polarization effects occurring both in electrolytes and on electrodes, highly correlated ion motion due to high concentration and strong electrostatic interactions, to name a few. In this talk, I’ll present our ongoing efforts to enable predictive molecular simulations of ionic liquids and polymer electrolytes. Two major advances will be highlighted – the development of predictive multi-scale force field for ILs and polymers based entirely on first-principle calculations, and the development of simulation algorithms to treat surface polarization and proper thermal equilibrium in polarizable MD simulations. New physical insights gained from the new simulation model and simulation algorithms will be discussed, which includes polarization effects on the ion adsorption at air/water and water/electrode interfaces, ion correlation in organic electrolytes, formation of ionic liquid crystals, as well as conformational dynamics in IL-polymer mixtures.

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