Computational Organic Chemistry

The Second Edition demonstrates how computational chemistry continues to shed new light on organic chemistry The Second Edition of author Steven Bachrach’s highly acclaimed Computational Organic Chemistry reflects the tremendous advances in computational methods since the publication of the First Edition, explaining how these advances have shaped our current understanding of organic chemistry. Readers familiar with the First Edition will discover new and revised material in all chapters, including new case studies and examples. There’s also a new chapter dedicated to computational enzymology that demonstrates how principles of quantum mechanics applied to organic reactions can be extended to biological systems. Computational Organic Chemistry covers a broad range of problems and challenges in organic chemistry where computational chemistry has played a significant role in developing new theories or where it has provided additional evidence to support experimentally derived insights. Readers do not have to be experts in quantum mechanics. The first chapter of the book introduces all of the major theoretical concepts and definitions of quantum mechanics followed by a chapter dedicated to computed spectral properties and structure identification. Next, the book covers: Fundamentals of organic chemistry Pericyclic reactions Diradicals and carbenes Organic reactions of anions Solution-phase organic chemistry Organic reaction dynamics The final chapter offers new computational approaches to understand enzymes. The book features interviews with preeminent computational chemists, underscoring the role of collaboration in developing new science. Three of these interviews are new to this edition. Readers interested in exploring individual topics in greater depth should turn to the book’s ancillary website www.comporgchem.com, which offers updates and supporting information. Plus, every cited article that is available in electronic form is listed with a link to the article.

This book provides state-of-the-art information on how studies in applied theoretical organic chemistry are conducted. It highlights the many approaches and tools available to those interested in using computational chemistry to predict and rationalize structures and reactivity of organic molecules. Chapters not only describe theoretical techniques in detail, but also describe recent applications and offer practical advice. Authored by many of the world leaders in the field of applied theoretical chemistry, this book is perfect for both practitioners of computational chemistry and synthetic and mechanistic organic chemists curious about applying computational techniques to their research. Contents: Modeling Organic Reactions — General Approaches, Caveats, and Concerns (Stephanie R Hare, Brandi M Hudson and Dean J Tantillo)Overview of Computational Methods for Organic Chemists (Edyta M Greer and Kitae Kwon)Brief History of Applied Theoretical Organic Chemistry (Steven M Bachrach)Solvation (Carlos Silva Lopez and Olalla Nieto Faza)Conformational Searching for Complex, Flexible Molecules (Alexander C Brueckner, O Maduka Ogba, Kevin M Snyder, H Camille Richardson and Paul Ha-Yeon Cheong)NMR Prediction (Kelvin E Jackson and Robert S Paton)Energy Decomposition Analysis and Related Methods (Israel Fernández)Systems with Extensive Delocalization (L Zoppi and K K Baldridge)Modern Treatments of Aromaticity (Judy I-Chia Wu)Weak Intermolecular Interactions (Rajat Maji and Steven E Wheeler)Predicting Reaction Pathways from Reactants (Romain Ramozzi, W M C Sameera and Keiji Morokuma)Unusual Potential Energy Surfaces and Nonstatistical Dynamic Effects (Charles Doubleday)The Distortion/Interaction Model for Analysis of Activation Energies of Organic Reactions (K N Houk, Fang Liu, Yun-Fang Yang and Xin Hong)Spreadsheet-Based Computational Predictions of Isotope Effects (O Maduka Ogba, John D Thoburn and Daniel J O'Leary)Stereoelectronic Effects: Analysis by Computational and Theoretical Methods (Gabriel dos Passos Gomes and Igor Alabugin)pKa Prediction (Yijie Niu and Jeehiun K Lee)Issues Particular to Organometallic Reactions (Gang Lu, Huiling Shao, Humair Omer and Peng Liu)Computationally Modeling Nonadiabatic Dynamics and Surface Crossings in Organic Photoreactions (Arthur Winter)Challenges in Predicting Stereoselectivity (Elizabeth H Krenske) Readership: Practitioners of computational chemistry and synthetic and mechanistic organic chemists curious about applying computational techniques to their research. Keywords: Organic Chemistry;Theoretical Chemistry;Stereoselectivity;NMR Prediction;pKa Prediction;Organic PhotoreactionsReview: Key Features: A particular strength is the mix of theoretical background, informative examples and practical advice providedChapters are authored by many of world leaders in the field of applied theoretical chemistry

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.

This volume is devoted to the various aspects of theoretical organic chemistry. In the nineteenth century, organic chemistry was primarily an experimental, empirical science. Throughout the twentieth century, the emphasis has been continually shifting to a more theoretical approach. Today, theoretical organic chemistry is a distinct area of research, with strong links to theoretical physical chemistry, quantum chemistry, computational chemistry, and physical organic chemistry. The objective in this volume has been to provide a cross-section of a number of interesting topics in theoretical organic chemistry, starting with a detailed account of the historical development of this discipline and including topics devoted to quantum chemistry, physical properties of organic compounds, their reactivity, their biological activity, and their excited-state properties.

This volume provides an overview of current research and recent advances in the area of energetic materials, focusing on decomposition, crystal and molecular properties. The contents and format reflect the fact that theory, experiment and computation are closely linked in this field. Since chemical decomposition is of fundamental importance in energetic performance, this volume begins with a survey of the decomposition processes of a variety of energetic compounds. This is followed by detailed studies of certain compounds and specific mechanisms, such as nitro/aci-nitro tautomerism. Chapter 6 covers the transition from decomposition to crystal properties, with molecular dynamics being the primary analytical tool. The next several chapters deal with different aspects of the crystalline state, again moving from the general to particular. There is also a discussion of methods for computing gas, liquid and solid phase heats of formation. Finally, the last portion of this volume looks at the potential of high-nitrogen molecules as energetic systems; this has been of considerable interest in recent years.Overall, this volume illustrates the progress that has been made in the field of energetic materials and some of the areas of current activity. It also indicates the challenges involved in characterizing and understanding the properties and behaviour of these compounds. The work is a unique state-of-the-art treatment of the subject, written by pre-eminent researchers in the field. - Overall emphasis is on theory and computation, presented in the context of relevant experimental work- Presents a unique state-of-the-art treatment of the subject- Contributors are preeminent researchers in the field

Computational Photochemistry, Volume 16 provides an overview of general strategies currently used to investigate photochemical processes. Whilst contributing to establishing a branch of computational chemistry that deals with the properties and reactivity of photoexcited molecules, the book also provides insight into the conceptual and methodological research lines in computational photochemistry. Packed with examples of applications of modelling of basic photochemical reactions and the computer-aided development of novel materials in the field of photodegradation (paints), photoprotection (sunscreens), color regulation (photochromic devices) and fluorescent probes, this book is particularly useful to anyone interested in the effect of light on molecules and materials. * Provides an overview of computational photochemistry, dealing with principles and applications* Demonstrates techniques that can be used in the computer-aided design of novel photo responsive materials* Written by experts in computational photochemistry

Progress in the application of machine learning (ML) to the physical and life sciences has been rapid. A decade ago, the method was mainly of interest to those in computer science departments, but more recently ML tools have been developed that show significant potential across wide areas of science. There is a growing consensus that ML software, and related areas of artificial intelligence, may, in due course, become as fundamental to scientific research as computers themselves. Yet a perception remains that ML is obscure or esoteric, that only computer scientists can really understand it, and that few meaningful applications in scientific research exist. This book challenges that view. With contributions from leading research groups, it presents in-depth examples to illustrate how ML can be applied to real chemical problems. Through these examples, the reader can both gain a feel for what ML can and cannot (so far) achieve, and also identify characteristics that might make a problem in physical science amenable to a ML approach. This text is a valuable resource for scientists who are intrigued by the power of machine learning and want to learn more about how it can be applied in their own field.