Computational Quantum Mechanical Studies of Main Group and Transition Metal Molecules and Ions PDF Download
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Languages : en
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Author:
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Author: Luke H. Thomas
Publisher:
ISBN:
Category :
Languages : en
Pages : 438
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Author: Thomas R. Cundari
Publisher: CRC Press
ISBN: 1482290073
Category : Science
Languages : en
Pages : 448
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Book Description
This work provides a how-to approach to the fundamentals, methodologies and dynamics of computational organometallic chemistry, including classical and molecular mechanics (MM), quantum mechanics (QM), and hybrid MM/QM techniques. It demonstrates applications in actinide chemistry, catalysis, main group chemistry, medicine, and organic synthesis.
Author: A. Veillard
Publisher: Springer Science & Business Media
ISBN: 9400946562
Category : Science
Languages : en
Pages : 518
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Book Description
Over the last twenty years, developments of the ab initio metho dologies and of the computing capacities have progressively turned quantum chemistry into a predictive tool for molecular systems involving only light elements. The situation appears less advanced for systems containing transition metal elements where specific difficulties arise, like those 1inked to the quasi-degeneracy of the lowest atomic states. Correlation effects, which are important only for quantitative accuracy in the treatment of molecules made of light elements, need sometimes to be considered even for a qualitative des cription of transition metals systems (like the multiple metal-metal bond). The treatment of atoms of a high atomic number has necessited the development of model potential methods. These difficulties ex acerbate for systems containing several trans ition atoms a correct description of the dichromium molecule Crz still represents a challenge to quantum chemists. Yet many advances have been made recently in the theoretical treatment of these systems, despite the fact that our understanding still remains disparate with a variety of models and methodologies used more or less successfully (one-electron models, explicitly correlated ab initio methods, density functional formalisms). For these reasons, a NATO Advanced Research Workshop was organized to review in detail the state-of-the-art techniques and at the same time the most common applications. These encompass many fields including the spectroscopy of diatomics and small aggregates, structure and reactivity problems in organometallic chemistry, the cluster surface analogy with its implications for heterogeneous catalysis and the description of extended structures.
Author:
Publisher: Elsevier
ISBN: 0444637419
Category : Science
Languages : en
Pages : 266
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Book Description
Annual Reports in Computational Chemistry provides timely and critical reviews of important topics in computational chemistry as applied to all chemical disciplines. Topics covered include quantum chemistry, molecular mechanics, force fields, chemical education, and applications in academic and industrial settings. Focusing on the most recent literature and advances in the field, each article covers a specific topic of importance to computational chemists. - Includes timely discussions on quantum chemistry and molecular mechanics - Covers force fields, chemical education, and more - Presents the latest in chemical education and applications in both academic and industrial settings
Author: Kenny B. Lipkowitz
Publisher: John Wiley & Sons
ISBN: 0470126124
Category : Science
Languages : en
Pages : 346
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Book Description
Not only a major reference work for sale to the library market, this series is now receiving an increase in purchases by individuals. This increase is due to the explosive growth in the use of computational chemistry throughout many scientific disciplines As each volume does not follow a singular theme, the table of contents is a vital tool in the defining the areas examined by a volume The series contains updated and comprehensive compendiums of molecular modeling software that list hundreds of programs, services, suppliers, and other information that every chemist will find useful Detailed author and subject indices on each volume help the reader to quickly discover particular topics Uniting the most respected authors in their fields, the series is designed to help the reader stay abreast of the many new developments in computational techniques The chapters are approached in a tutorial manner and wirtten in a non-mathematical style allowing students and researches to access computational methods outside their immediate area of expertise
Author: Jon Paul Janet
Publisher: American Chemical Society
ISBN: 0841299005
Category : Science
Languages : en
Pages : 189
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Book Description
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
Author: Jerzy Leszczynski
Publisher: World Scientific
ISBN: 9789810240004
Category : Science
Languages : en
Pages : 312
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Book Description
A blend of methodological and applied contributions on computational chemistry. It explores research results and the topographical features of several molecular scalar fields. A discussion of topographical concepts is followed by examples of their application to several branches of chemistry.
Author: Thomas S. Hofer
Publisher: Frontiers Media SA
ISBN: 2889456269
Category :
Languages : en
Pages : 188
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Book Description
The QM/MM method, short for quantum mechanical/molecular mechanical, is a highly versatile approach for the study of chemical phenomena, combining the accuracy of quantum chemistry to describe the region of interest with the efficiency of molecular mechanical potentials to represent the remaining part of the system. Originally conceived in the 1970s by the influential work of the the Nobel laureates Martin Karplus, Michael Levitt and Arieh Warshel, QM/MM techniques have evolved into one of the most accurate and general approaches to investigate the properties of chemical systems via computational methods. Whereas the first applications have been focused on studies of organic and biomolecular systems, a large variety of QM/MM implementations have been developed over the last decades, extending the range of applicability to address research questions relevant for both solution and solid-state chemistry as well. Despite approaching their 50th anniversary in 2022, the formulation of improved QM/MM methods is still an active field of research, with the aim to (i) extend the applicability to address an even broader range of research questions in chemistry and related disciplines, and (ii) further push the accuracy achieved in the QM/MM description beyond that of established formulations. While being a highly successful approach on its own, the combination of the QM/MM strategy with other established theoretical techniques greatly extends the capabilities of the computational approaches. For instance the integration of a suitable QM/MM technique into the highly successful Monte-Carlo and molecular dynamics simulation protocols enables the description of the chemical systems on the basis of an ensemble that is in part constructed on a quantum-mechanical basis. This eBook presents the contributions of a recent Research Topic published in Frontiers in Chemistry, that highlight novel approaches as well as advanced applications of QM/MM method to a broad variety of targets. In total 2 review articles and 10 original research contributions from 48 authors are presented, covering 12 different countries on four continents. The range of research questions addressed by the individual contributions provide a lucid overview on the versatility of the QM/MM method, and demonstrate the general applicability and accuracy that can be achieved for different problems in chemical sciences. Together with the development of improved algorithms to enhance the capabilities of quantum chemical methods and the continuous advancement in the capacities of computational resources, it can be expected that the impact of QM/MM methods in chemical sciences will be further increased already in the near future.
Author: Errol G. Lewars
Publisher: Springer Science & Business Media
ISBN: 0306483912
Category : Science
Languages : en
Pages : 474
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Book Description
Computational chemistry has become extremely important in the last decade, being widely used in academic and industrial research. Yet there have been few books designed to teach the subject to nonspecialists. Computational Chemistry: Introduction to the Theory and Applications of Molecular and Quantum Mechanics is an invaluable tool for teaching and researchers alike. The book provides an overview of the field, explains the basic underlying theory at a meaningful level that is not beyond beginners, and it gives numerous comparisons of different methods with one another and with experiment. The following concepts are illustrated and their possibilities and limitations are given: - potential energy surfaces; - simple and extended Hückel methods; - ab initio, AM1 and related semiempirical methods; - density functional theory (DFT). Topics are placed in a historical context, adding interest to them and removing much of their apparently arbitrary aspect. The large number of references, to all significant topics mentioned, should make this book useful not only to undergraduates but also to graduate students and academic and industrial researchers.
