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Computational Methods in Organometallic Catalysis Discover recent advances in the mechanistic study of organometallic catalysis In Computational Methods in Organometallic Catalysis: From Elementary Reactions to Mechanisms, distinguished chemist and author Yu Lan delivers a synthesis of the use of calculation methods and experimental techniques to improve the efficiency of reaction and yield of product and to uncover the factors that control the selectivity of product. Providing not only a theoretical overview of organometallic catalysis, the book also describes computational studies for the mechanism of transition-metal-assisted reactions. You’ll learn about Ni-, Pd-, Pt-, Co-, Rh-, Ir-, Fe-, Ru-, Mn-, Cu-, Ag-, and Au- catalysis. You’ll also discover many of the experimental and theoretical advances in organometallic catalysis reported in the recent literature. The book summarizes and generalizes the advances made in the mechanistic study of organometallic catalysis. Readers will also benefit from the inclusion of: A thorough introduction to computational organometallic chemistry, including a brief history of the discipline and the use of computational tools to study the mechanism of organometallic chemistry An exploration of computational methods in organometallic chemistry, including density functional theory methods and basis sets and their application in mechanism studies A practical discussion of elementary reactions in organometallic chemistry, including coordination and dissociation, oxidative addition, reductive elimination, insertion, elimination, transmetallation, and metathesis A concise treatment of the theoretical study of transition-metal catalysis. Perfect for organic, catalytic, complex, and structural chemists, Computational Methods in Organometallic Catalysis will also earn a place in the libraries of theoretical chemists seeking a one-stop organometallic catalysis resource with a focus on the mechanism of transition-metal-assisted reactions.
Here, the world's most active and productive computational scientists from academia and industry present established, effective and powerful tools for understanding catalysts. With its broad scope -- nitrogen fixation, polymerization, C-H bond activation, oxidations, biocatalysis and much more -- this book represents an extensive knowledge base for designing efficient catalysts, allowing readers to improve the performance of their own catalysts.
Recent results on a wide array of catalytic processes are collected in this volume. The book illustrates the importance of computational modelling in homogeneous catalysis by providing up-to-date reviews of its application to a variety of reactions of industrial interest.
As a reliable, convenient, and advantageous tool in the theoretical investigations of bioinorganic, inorganic, and organometallic chemistry, density functional theory (DFT) computations have provided chemists with numerous significant insights. The understanding of mechanisms of chemical reactions, and the design and development of catalysts have been greatly promoted by the employment of DFT. In this dissertation, the applications of DFT computations on the catalytic bioorganic, inorganic, and organometallic systems were studied. Phosphoramidate hydrolysis catalyzed by human histidine triad nucleotide binding protein 1 (hHint1) was investigated using a cluster-model DFT approach, and the key involvement of the histidine triad as a proton shuttle was discussed in the proposed mechanism. The IEFPCM-BondiB3LYP/BS1 methodology was demonstrated as a reliable, and time-saving model in computing the reduction potentials of transition metal complexes. Moderate accuracy (MAD = 0.233 V, mean absolute deviation) and good linear correlation (R2 = 0.93) between computed and experimental reduction potentials of the 49 studied species are observed. The fluxionality of cyclohexenyl manganese tricarbonyl [(C6H9)Mn(CO)3] was investigated using DFT computations, which uncovered a previously uncharacterized “closed” Cs agostomer. The intramolecular oxidative amination of an alkene catalyzed by the extreme [pi]-loading N-heterocyclic carbene pincer Tantalum(V) bis(imido) complex was also computationally analyzed, and the mechanisms of the formation of oxidative amination product, reduction product, and hydroamination product were investigated. The computational results are consistent with the experimentally observed product ratios and selectivity.
Pincer-Metal Complexes: Applications in Catalytic Dehydrogenation Chemistry provides an overview of pincer-metal catalytic systems that transform hydrocarbons and their derivatives from an synthetic and mechanistic point-of-view. This book provides thorough coverage of the operating mechanisms and dehydrogenation catalyst compatibility in both functionalized and unfunctionalized hydrocarbon systems. In addition, it includes success stories of pincer-metal systems, as well as current and future challenges. The book is an ideal reference for researchers practicing synthetic organic chemistry, inorganic chemistry, organometallic chemistry and catalysis in academia and industry. In recent years there has been a surge in the research on hydrocarbon dehydrogenation catalytic systems that are compatible with polar substituents. This helps facilitate formulation of tandem processes that are not limited to hydrocarbon transformation but also to hydrocarbon functionalization in a single pot. Covers applications of pincer-metal complexes in organic transformations Includes pincer-group 8 and 9 metal complexes for alkane dehydrogenations Features a discussion of pincer-metal complexes for the dehydrogenation of functionalized hydrocarbons and electro-catalytic transformations
Transition metal catalysis belongs to the most important chemical research areas because a ubiquitous number of chemical reactions are catalyzed by transition metal compounds. Many efforts are being made by industry and academia to find new and more efficient catalysts for chemical processes. Transition metals play a prominent role in catalytic research because they have been proven to show an enormous diversity in lowering the activation barrier for chemical reactions. For many years, the search for new catalysts was carried out by trial and error, which was costly and time consuming. The understanding of the mechanism of the catalytic process is often not very advanced because it is difficult to study the elementary steps of the catalysis with experimental techniques. The development of modern quantum chemical methods for calculating possible intermediates and transition states was a breakthrough in gaining an understanding of the reaction pathways of transition metal catalyzed reactions. This volume, organized into eight chapters written by leading scientists in the field, illustrates the progress made during the last decade. The reader will obtain a deep insight into the present state of quantum chemical research in transition metal catalysis.
Recent advances in machine learning or artificial intelligence for vision and natural language processing that have enabled the development of new technologies such as personal assistants or self-driving cars have brought machine learning and artificial intelligence to the forefront of popular culture. The accumulation of these algorithmic advances along with the increasing availability of large data sets and readily available high performance computing has played an important role in bringing machine learning applications to such a wide range of disciplines. Given the emphasis in the chemical sciences on the relationship between structure and function, whether in biochemistry or in materials chemistry, adoption of machine learning by chemistsderivations where they are important
This book presents a comprehensive review of the methods and approaches being adopted to push forward the boundaries of computational catalysis.