| LDR | | 00000nam u2200205 4500 |
| 001 | | 000000435068 |
| 005 | | 20200227114402 |
| 008 | | 200131s2019 ||||||||||||||||| ||eng d |
| 020 | |
▼a 9781085664929 |
| 035 | |
▼a (MiAaPQ)AAI27536620 |
| 035 | |
▼a (MiAaPQ)umichrackham002161 |
| 040 | |
▼a MiAaPQ
▼c MiAaPQ
▼d 247004 |
| 082 | 0 |
▼a 542 |
| 100 | 1 |
▼a Vitek, Andrew K. |
| 245 | 10 |
▼a Computational Investigations of Organometallic Polymerization Catalyst Reaction Mechanisms. |
| 260 | |
▼a [S.l.]:
▼b University of Michigan.,
▼c 2019. |
| 260 | 1 |
▼a Ann Arbor:
▼b ProQuest Dissertations & Theses,
▼c 2019. |
| 300 | |
▼a 146 p. |
| 500 | |
▼a Source: Dissertations Abstracts International, Volume: 81-02, Section: B. |
| 500 | |
▼a Advisor: Zimmerman, Paul. |
| 502 | 1 |
▼a Thesis (Ph.D.)--University of Michigan, 2019. |
| 506 | |
▼a This item must not be sold to any third party vendors. |
| 506 | |
▼a This item must not be added to any third party search indexes. |
| 520 | |
▼a Computational chemistry is a proven tool for creating a better understanding of known chemistry, discovering new mechanisms and chemical reactivity, and systematically improving catalyst and reaction design. The insight that can be gained from computational studies, however, is limited by the accuracy of the models used and often requires an established working knowledge of the chemical system of interest. In addition to this, computational chemistry must be guided and grounded by experiment in order to synergistically approach the goal of achieving a fuller understanding of reaction pathways. The studies herein demonstrate this synergy between computational and experimental chemistry with an emphasis on building realistic computational models for reaction path exploration.Chapter 1 provides a brief overview of computational chemistry fundamentals that are needed to understand reaction landscapes. This introduction describes the reaction path and transition state finding methods that were used in subsequent studies found in this work. These methods and concepts are then demonstrated via studies on metal-catalyzed polymerization reactions that are led by experiment in Chapter 2. This chapter highlights the computational investigations of these systems that were used to support and extend the chemical insights toward catalyst reactivity.Chapter 3 describes the computationally-led elucidation of the transmetalation mechanism of thiophene-based conductive polymer synthesis. This work presents a full mechanistic viewpoint of the transmetalation reaction and establishes the chemical details that are necessary for accurately modeling this reaction including realistic models of reagents, consideration of catalyst spin state, and changing steric interactions as polymerization proceeds. The insights gained from this study should aid catalyst design for polymerization reactions and related cross coupling reactions.Chapter 4 describes conformational effects resulting from the inherent flexibility of organometallic catalysts. This chapter was inspired by the importance of biochemical protein-substrate conformational effects that prompted the investigation of similar effects in the context of organometallic reactions. This study surveys the conformer ensembles of several bisphosphine nickel catalysts and their reductive elimination pathways. The conformational effects shown in this work result in large reductive elimination ground and transition state effects. Additionally, the conformer analysis revealed that reductive elimination barrier height and the degree of distortion of the reactant geometries contained a high-correlation structure-reactivity relationship. This work should inspire more thorough evaluation of conformer effects for transition-metal-catalyzed reactions.Significant efforts are still needed to develop and test chemically insightful and accurate computational methods. This work outlines applications of these modern computational tools toward building better models and a developing a deeper understanding of organometallic chemistry and polymer chemistry. |
| 590 | |
▼a School code: 0127. |
| 650 | 4 |
▼a Polymer chemistry. |
| 650 | 4 |
▼a Computational chemistry. |
| 690 | |
▼a 0219 |
| 690 | |
▼a 0495 |
| 710 | 20 |
▼a University of Michigan.
▼b Chemistry. |
| 773 | 0 |
▼t Dissertations Abstracts International
▼g 81-02B. |
| 773 | |
▼t Dissertation Abstract International |
| 790 | |
▼a 0127 |
| 791 | |
▼a Ph.D. |
| 792 | |
▼a 2019 |
| 793 | |
▼a English |
| 856 | 40 |
▼u http://www.riss.kr/pdu/ddodLink.do?id=T15494305
▼n KERIS
▼z 이 자료의 원문은 한국교육학술정보원에서 제공합니다. |
| 980 | |
▼a 202002
▼f 2020 |
| 990 | |
▼a ***1008102 |
| 991 | |
▼a E-BOOK |