Development of automated prediction method of reaction mechanism based on molecular graph theory = 분자 그래프 이론 기반 자동화된 반응 예측 방법 개발

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Owing to emergence of density functional theory (DFT) and dramatic enhancement of computer performance, computational chemistry has become a useful tool for mechanism study of chemical reactions. However, prediction of reaction paths is still challenging due to high complexity of chemical space and high computational costs. Roles of computational chemistry have usually been limited to verifying the suggested mechanisms, which can lead to biased results. To overcome these limitations, development of an efficient and reliable method is necessary. Here, we develop the program for automated prediction of reaction mechanism based on graph theory. It focuses on optimal collaboration of chemical heuristic rules, graph-theoretic analysis and first-principle calculations. Our program consists of several steps; as the first step, possible intermediate states for a given reaction are sampled by either stochastic sampling or combinatorial enumeration of molecular graphs. Then, the reaction network is constructed. Intermediates are connected as edges or elementary reaction steps. The distance of an edge is related to activation energy of the reaction. A significant feature of our program is to evaluate activation energy rapidly through analysis of molecular graphs of intermediates. Estimation of activation energy does not rely on any conventional methods or quantum-chemical calculations for finding transition states. As the final step, a kinetic analysis is performed to extract a minimal subnetwork and determine kinetically favorable reaction mechanisms. This result can be further verified by investigation of energetics using conventional quantum-chemical calculations. Our program was successful to find reliable mechanisms for several reaction examples with less computational costs.
Advisors
Kim, Woo Younresearcher김우연researcher
Description
한국과학기술원 :화학과,
Publisher
한국과학기술원
Issue Date
2018
Identifier
325007
Language
eng
Description

학위논문(박사) - 한국과학기술원 : 화학과, 2018.2,[viii, 125 p. :]

Keywords

Reaction mechanism▼aSampling reaction intermediates▼aReaction network▼aGraph theory; 반응 메커니즘▼a중간체 샘플링▼a반응 네트워크▼a그래프 이론

URI
http://hdl.handle.net/10203/265451
Link
http://library.kaist.ac.kr/search/detail/view.do?bibCtrlNo=734459&flag=dissertation
Appears in Collection
CH-Theses_Ph.D.(박사논문)
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