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韓國科學技術大學Mu-Hyun Baik教授做客第330期化苑講壇

作者:  發布:2018-03-13 08:39:04  點擊量:

報告題目:Computer Assisted Design of New Catalytic Reactions: Catalytic Borylation of Methane and Other Reactions

Prof. Mu-Hyun Baik

報告時間:2018315日(周四)上午10:00

報告地點:化學樓一號會議室

人:廖榮臻教授

報告人簡介:

Mu-Hyun Baik obtained his B. Sc. at Heinrich-Heine-University Düsseldorf in 1994 and his Ph. D. at Univ. of North Carolina Chapel Hill in 2000. After a three year postdoc. at Columbia University, he joined Indiana University as an assistant professor and was promoted to and tenured Associate Professor. In 2015, he moved to Korea Advanced Institute of Science and Technology (KAIST) as an associative director. He has published over 100 papers in international journals, including Science, Nat. Chem., Angew. Chem. Int. Ed., and J. Am. Chem. Soc. Among the awards and honors He received, he won Indiana University Outstanding Junior Faculty Award (2007), NSF–CAREER Award (2007), KAIST Top-10 Research Achievement Award (2017).

報告摘要:

Computational molecular modeling has become a standard tool of mechanistic inquiry in the last decade. When combined with traditional experimental techniques, theoretical studies can be extremely powerful and deliver a detailed understanding of complex reactions and in some cases, be used as a predictive tool. In this talk, I will highlight three examples of such integrated studies where very challenging catalytic C–H activation reactions were thoroughly investigated. Nature has chosen to use iron to design a catalyst, methane monooxygenase, for the conversion of methane into biomass in methanotrophic bacteria. In synthetic organic chemistry, iridium is a metal of choice for developing a high-performance catalyst. And recently, we were able to show that titanium can be used to catalytically dehydrogenate alkanes. In all cases, C–H bonds that are very difficult to activate are broken at very mild conditions. In this presentation, I will highlight how different features of the metal-complexes are being utilized to accomplish these challenging transformations.

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