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Essentials of Computational Chemistry provides a balanced introduction to this dynamic subject.  Suitable for both experimentalists and theorists, a wide range of samples and applications are included drawn from all key areas.  The book carefully leads the reader thorough the necessary equations providing information explanations and reasoning where necessary and firmly placing each equation in context.

Fills a gap for students of computational and theoretical chemistry by approaching the theories from a practical perspective, this textbook contains 16 different examples transforming the theories into applications invarious fields of chemistry. Includes a Live-CD with a bootable Linux system and all the necessary programs, while not being restricted to a particular computer code.

This corrected second edition contains new material which includes solvent effects, the treatment of singlet diradicals, and the fundamentals of computaional chemistry. "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 Hueckel 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. 

Introduction to Computational Chemistry Second Edition provides a comprehensive account of the fundamental principles underlying different methods, ranging from classical to the sophisticated. Although comprehensive in its coverage, this textbook focuses on calculating molecular structures and (relative) energies and less on molecular properties or dynamical aspects. No prior knowledge of concepts specific to computational chemistry are assumed, but the reader will need some understanding of introductory quantum mechanics, linear algebra, and vector, differential and integral calculus.

A practical, easily accessible guide for bench-top chemists, this book focuses on accurately applying computational chemistry techniques to everyday chemistry problems.

• Provides nonmathematical explanations of advanced topics in computational chemistry.
• Focuses on when and how to apply different computational techniques.
• Addresses computational chemistry connections to biochemical systems and polymers.
• Provides a prioritized list of methods for attacking difficult computational chemistry problems, and compares advantages and disadvantages of various approximation techniques.
• Describes how the choice of methods of software affects requirements for computer memory and processing time.

The uses of computers in chemistry are many and varied, from the modelling of solid state systems to the design of complex molecules which can be used as drugs. This text provides an introduction to the many methods currently used by practicing computational chemists and shows the value of computers in modern chemical research. The authors describe the various computational techniques available and explain how they can be applied to single molecules, to assemblies of molecules, and to molecules undergoing reaction. An introductory chapter outlines the hardware and software available, and looks at some applications and developments. Subsequent chapters cover quantum mechanics, molecular mechanics, statistical mechanics, the modelling of biomolecules, and drug design. While emphasizing the use of computers to model biological systems, the authors explain how the methods can be applied to a wide range of chemical problems.

"[This book] collects together, largely for the first time, a series of chapters dedicated to all the ways in which molecular modeling/computational chemistry can impact organic chemistry."
-Christopher J. Cramer, author of Essentials ofComputational Chemistry: Theories and Models

Computational Organic Chemistry provides a practical overview of the ways in which computational modeling methods and applications can be used in organic chemistry to predict the structure and reactivity of organic molecules. After a concise survey of computational methods, the book presents in-depth case studies that show how various computational methods have provided critical insight into the nature of organic mechanisms. With a focus on methodologies, this unique resource:
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Discusses simple molecular properties, pericyclic reactions, carbenes and radicals, anion chemistry, solvent effects, and more
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Features sidebars that offer a personal look at some of the leading practitioners in the field
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Conveys the strengths and limitations of each method, so that readers develop a feel for the correct "tool" to use in the context of a specific problem
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Further informs readers with a supporting Web site that provides links to materials cited and features a blog that discusses and provides links to new relevant articles at www.trinity.edu/sbachrac/coc/

This is a great reference for practicing physical organic and computational chemists, as well as a thought-provoking textbook for graduate-level courses in computational chemistry and organic chemistry.

Helps you choose the right computational tools and techniques to meet your drug design goals

Computational Drug Design covers all of the major computational drug design techniques in use today, focusing on the process that pharmaceutical chemists employ to design a new drug molecule. The discussions of which computational tools to use and when and how to use them are all based on typical pharmaceutical industry drug design processes.

Following an introduction, the book is divided into three parts:

• Part One, The Drug Design Process, sets forth a variety of design processes suitable for a number of different drug development scenarios and drug targets. The author demonstrates how computational techniques are typically used during the design process, helping readers choose the best computational tools to meet their goals.

• Part Two, Computational Tools and Techniques, offers a series of chapters, each one dedicated to a single computational technique. Readers discover the strengths and weaknesses of each technique. Moreover, the book tabulates comparative accuracy studies, giving readers an unbiased comparison of all the available techniques.

• Part Three, Related Topics, addresses new, emerging, and complementary technologies, including bioinformatics, simulations at the cellular and organ level, synthesis route prediction, proteomics, and prodrug approaches.

The book's accompanying CD-ROM, a special feature, offers graphics of the molecular structures and dynamic reactions discussed in the book as well as demos from computational drug design software companies.

Computational Drug Design is ideal for both students and professionals in drug design, helping them choose and take full advantage of the best computational tools available.

Note: CD-ROM/DVD and other supplementary materials are not included as part of eBook file.

The gap between introductory level textbooks and highly specialized monographs is filled by this modern textbook. It provides in one comprehensive volume the in-depth theoretical background for molecular modeling and detailed descriptions of the applications in chemistry and related fields like drug design, molecular sciences, biomedical, polymer and materials engineering. Special chapters on basic mathematics and the use of respective software tools are included. Numerous numerical examples, exercises and explanatory illustrations as well as a web site with application tools (http://www.amrita.edu/cen/ccmm) support the students and lecturers.