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Books in Computational chemistry

  • Cheminformatics with Python

    • 1st Edition
    • Zhimin Zhang + 2 more
    • English
    Cheminformatics with Python provides a ground-up, practical introduction that helps reader make effective use of the software. In four parts, including programming, data, methods, and applications, the book provides a brief introduction to Python language and related scientific computing, cheminformatics, machine learning, and deep learning packages and presents a systematic study of the representation of instrumental data, including molecular structures and common chemical databases. The methods section covers analytical signal processing, multivariate calibration, multivariate resolution, classical machine learning, and deep learning methods. Finally, the application section presents case studies of successful applications of cheminformatics in analytical chemistry, metabolomics, drug discovery, and more.A supporting appendix section and the necessary mathematical, statistical, and information theory-related theories are provided, along with practical tips such as code editors and source code management. Online coding materials on GitHub and an individual Jupyter notebook for each chapter further support practical learning. This book will be a great resource for senior undergraduate students, graduate students, post-docs, and professors primarily in the field of computational and analytical chemistry.

  • Handbook of Electronic Structure Theory

    Methods and Applications
    • 1st Edition
    • Majdi Hochlaf + 1 more
    • English
    Handbook of Electronic Structure Theory: Methods and Applications provides a much-needed learning resource that collects and demonstrates the various key methods involved in electronic structure theory, the feasibility and reliability of electronic structure calculations, and their applications using computational chemistry. With a particular focus on the most modern and recent problems that are typically poorly covered in existing, largely outdated book literature, this handbook is designed with early career researchers in mind. It is written primarily for masters, PhD, and postdoctoral students in theoretical and computational chemistry as well as experimental researchers wishing to apply quantum chemical methods in a critical way. Elements like summary boxes, worked examples, and downloadable datasets make this a holistic guide to the topic for learners from different backgrounds who require a deeper understanding of electronic structure theory. Sections focus on critical core theories, the most important recent developments, and future directions, including key topics such as the electronic excited states and the harnessing of machine learning. Finally, the book collects a range of key case study examples of applications, such as in biomolecules, in spectroscopy, and for use in catalysis, amongst others.

  • Computational Chemistry for Experimentalists

    A Nonspecialist's Guide to Practical and Predictive Simulations
    • 1st Edition
    • Benjamin G. Janesko
    • English
    Computational Chemistry for Experimentalists: A Nonspecialist's Guide to Practical and Predictive Simulations empowers chemists—especially those at emerging institutions or in small and medium enterprises—by transforming foundational chemical concepts into practical computational skills. A modular approach, paired with hands-on video tutorials, ensures that even nonspecialists can confidently apply simulations to their research, regardless of career stage or specialization. Beyond its accessible structure, the book features six modules covering core topics such as electronic structure theory and molecular dynamics. Ten experimental modules focus on simulating specific laboratory techniques—reaction mechanisms, NMR, UV/vis, band structures, XPS, and organometallic chemistry.Regularly updated online tutorials complement the material, providing project-based, real-world training. By bridging theory and practice, this guide serves mid-career professionals, undergraduate and graduate students, and early-career researchers, making computational chemistry approachable and practical for all experimental chemists.

  • Theoretical and Physical Chemistry of Triel Bonding

    Properties, Mechanisms, and Catalysis
    • 1st Edition
    • Volume 24
    • Sławomir Janusz Grabowski
    • English
    Theoretical and Physical Chemistry of Triel Bonding: Properties, Mechanisms, and Catalysis explores triel and their compounds, providing a detailed analysis of their molecular and electronic structures, areas often disputed and controversial. It offers a comprehensive description and explanation, emphasizing the unique differences between boron and heavier triel atoms. Key sections cover theoretical foundations, types of interactions, and examples of triel bonds and their characteristics. Additionally, the book highlights triel elements functioning as catalysts and boron compounds in hydrogen storage. Designed for advanced students and researchers in physical or theoretical/computat... chemistry, it will also interest organic and inorganic chemists.Compounds of boron and other triel centres have been the subject of numerous studies for a long time, with their properties well-known and frequently discussed. However, the more detailed characteristics of triel compounds have not been well analyzed in existing research and their molecular and electronic structures have often been the subject of dispute and controversy. Triel bonds as a thematic area have garnered significant interest in recent years and this book provides a much broader description and explanation of their properties and characteristics than has previously been available, discussing aspects which are unique to triel bonds such as the differences between boron and the heavier triel atoms.

  • Quantum Chemistry Methods for Oncological Drugs

    • 1st Edition
    • Eudenilson L. Albuquerque
    • English
    Quantum Chemistry Methods for Oncological Drugs provides a comprehensive reference text for student, researchers, and academic staff across disciplines working in the field of Nanobiotechnology, who need to grasp the unique inter-relationship of the physical, chemical, and biological properties of oncological drugs and their interactions. It provides a theoretical/computat... framework based on quantum chemistry and addresses key questions in which detailed analysis and precise predictions are always required. The sophisticated molecular recognition of various natural biological materials has been used in the formation of a complex network of structures potentially useful for a variety of pharmaceutical applications. They offer solutions to many of the obstacles that need to be overcome, with accuracy not feasible with the technologies usually available in materials science. Important common challenges presented in this book are aspects related to the biology of cancer using our immunological checking points, specialized proteins that act as brakes in the immune system, allowing it to recognize and attack more efficiently only the cancer cells, avoiding the destruction of healthy cells as in conventional chemotherapy and radiotherapy treatments. This book is devoted to this burgeoning area of Nanobiotechnology for oncological drugs and will be valuable in covering the new developments that have occurred in the last decade or so. It is aimed at graduate students, faculty members and other researchers in physics, chemistry, biology, pharmacology, and medicine.

  • Comprehensive Computational Chemistry

    • 1st Edition
    • Russell J. Boyd + 1 more
    • English
    Comprehensive Computational Chemistry stands as an authoritative publication, comprising over 150 chapters that encompass the entire spectrum of the field. It delves into the foundational principles of theoretical methods, the development of algorithms and software packages, and their extensive applications in various domains, including atmospheric chemistry, biochemistry, materials science, and medicinal chemistry.Edited by a team of world-renowned scientists, this four-volume set covers everything from the theoretical foundations of quantum chemistry to the intricacies of modeling chemical reactions, exploring excited electronic states, and delving into the dynamics of molecular systems. It also sheds light on the critical role of computational chemistry in understanding and designing highly specific and efficient catalysts for various applications.Whether you are entering the field, an accomplished scientist, or an ambitious undergraduate student, "Comprehensive Computational Chemistry" is an invaluable resource for navigating the ever-evolving landscape of computational chemistry.Computatio... chemistry is a rapidly evolving discipline with growing relevance in various scientific domains. This groundbreaking reference resource is poised to shape the trajectory of the field and push its boundaries into uncharted territories.

  • Molecular Simulation of Fluids

    Theory, Algorithms, Object-Orientation, and Parallel Computing
    • 2nd Edition
    • Richard J. Sadus
    • English
    Molecular simulation allows researchers unique insight into the structures and interactions at play in fluids. Since publication of the first edition of Molecular Simulation of Fluids, novel developments in theory, algorithms and computer hardware have generated enormous growth in simulation capabilities. This 2nd edition has been fully updated and expanded to highlight this recent progress, encompassing both Monte Carlo and molecular dynamic techniques, and providing details of theory, algorithms and both serial and parallel implementations. Beginning with a clear introduction and review of theoretical foundations, the book goes on to explore intermolecular potentials before discussing the calculation of molecular interactions in more detail. Monte Carlo simulation and integrators for molecular dynamics are then discussed further, followed by non-equilibrium molecular dynamics and molecular simulation of ensembles and phase equilibria. The use of object-orientation is examined in detail, with working examples coded in C++. Finally, practical parallel simulation algorithms are discussed using both MPI and GPUs, with the latter coded in CUDA. Drawing on the extensive experience of its expert author, Molecular Simulation of Fluids: Theory, Algorithms, Object-Orientation, and Parallel Computing 2nd Edition is a practical, accessible guide to this complex topic for all those currently using, or interested in using, molecular simulation to study fluids.

  • Understanding Molecular Simulation

    From Algorithms to Applications
    • 3rd Edition
    • Daan Frenkel + 1 more
    • English
    Understanding Molecular Simulation explains molecular simulation from a chemical-physics and statistical-mechanic... perspective. It highlights how physical concepts are used to develop better algorithms and expand the range of applicability of simulations. Understanding Molecular Simulation is equally relevant for those who develop new code and those who use existing packages. Both groups are continuously confronted with the question of which computational technique best suits a given application. Understanding Molecular Simulation provides readers with the foundational knowledge they need to learn about, select and apply the most appropriate of these tools to their own work. The implementation of simulation methods is illustrated in pseudocodes, and their practical use is shown via case studies presented throughout the text. Since the second edition’s publication, the simulation world has expanded significantly: existing techniques have continued to develop, and new ones have emerged, opening up novel application areas. This new edition aims to describe these new developments without becoming exhaustive; examples are included that highlight current uses, and several new examples have been added to illustrate recent applications. Examples, case studies, questions, and downloadable algorithms are also included to support learning. No prior knowledge of computer simulation is assumed.

  • Gas-Particle and Granular Flow Systems

    Coupled Numerical Methods and Applications
    • 1st Edition
    • Nan Gui + 3 more
    • English
    Gas-Particle and Granular Flow Systems: Coupled Numerical Methods and Applications breaks down complexities, details numerical methods (including basic theory, modeling and techniques in programming), and provides researchers with an introduction and starting point to each of the disciplines involved. As the modeling of gas-particle and granular flow systems is an emerging interdisciplinary field of study involving mathematics, numerical methods, computational science, and mechanical, chemical and nuclear engineering, this book provides an ideal resource for new researchers who are often intimidated by the complexities of fluid-particle, particle-particle, and particle-wall interactions in many disciplines.

  • Novel Electronic Structure Theory: General Innovations and Strongly Correlated Systems

    • 1st Edition
    • Volume 76
    • English
    Novel Electronic Structure Theory: General Innovations and Strongly Correlated Systems, Volume 76, the latest release in the Advances in Quantum Chemistry series presents work and reviews of current work in quantum chemistry (molecules), but also includes scattering from atoms and solid state work of interest in physics. Topics covered in this release include the Present Status of Selected Configuration Interaction with Truncation Energy Error, Recent Developments in Asymptotic Expansions from Numerical Analysis and Approximation Theory, The kinetic energy Pauli enhancement factor and its role in determining the shell structure of atoms and molecules, Numerical Hartree-Fock and Many-Body Calculations for Diatomic Molecules, and more.