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Books in Computational chemistry

  • Metamorphosis of Computational Chemistry Driven by Artificial Intelligence and Industry 5.0

    • 1st Edition
    • August 1, 2026
    • Garikapati Narahari Sastry + 3 more
    • English
    Metamorphosis of Computational Chemistry Driven by Artificial Intelligence and Industry 5.0 explores the cutting-edge synergy among Computational Chemistry, Artificial Intelligence (AI), and the emerging paradigm of Industry 5.0. It offers a comprehensive, introductory overview of how AI-driven techniques are revolutionizing the field of computational chemistry and transforming industries. Readers will explore the convergence of AI algorithms, big data analytics, and advanced computational methods such as Natural language Processing, Image Processing, and Machine Learning in the context of chemical research and industrial processes. The book discusses how AI is accelerating Computational Chemistry, Materials Science, and Chemical Engineering by automating complex calculations, predicting molecular properties, and optimizing chemical processes. Furthermore, it provides a deep dive into the concept of Industry 5.0, which envisions a new era of manufacturing characterized by human-robot collaboration, intelligent factories, and decentralized production systems. The book illustrates how AI and Computational Chemistry play pivotal roles in realizing the vision of Industry 5.0 by optimizing manufacturing processes, quality control, and sustainability efforts. Whether you're a researcher or advanced graduate/postdoc student in the field of computational chemistry, an AI enthusiast, or an industry professional seeking insights into the future of chemical and manufacturing industries, this book offers a glimpse into the exciting possibilities at the intersection of AI, computational chemistry, and Industry 5.0.

  • Cheminformatics with Python

    • 1st Edition
    • July 1, 2026
    • 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
    • March 1, 2026
    • 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
    • January 29, 2026
    • 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.Ben's free online course complimenting this book is available on GitHub: https://github.com/b...

  • Theoretical and Physical Chemistry of Triel Bonding

    Properties, Mechanisms, and Catalysis
    • 1st Edition
    • Volume 24
    • September 18, 2025
    • 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
    • February 29, 2024
    • 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
    • October 19, 2023
    • 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.

  • Understanding Molecular Simulation

    From Algorithms to Applications
    • 3rd Edition
    • July 13, 2023
    • 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
    • October 22, 2019
    • 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.

  • Physical Chemistry

    Multidisciplinary Applications in Society
    • 1st Edition
    • June 14, 2018
    • Kenneth S Schmitz
    • English
    The advancements in society are intertwined with the advancements in science. To understand how changes in society occurred, and will continue to change, one has to have a basic understanding of the laws of physics and chemistry. Physical Chemistry: Multidisciplinary Applications in Society examines how the laws of physics and chemistry (physical chemistry) explain the dynamic nature of the Universe and events on Earth, and how these events affect the evolution of society (multidisciplinary applications). The ordering of the chapters reflects the natural flow of events in an evolving Universe: Philosophy of Science, the basis of the view that natural events have natural causes - Cosmology, the origin of everything from the Big Bang to the current state of the Universe - Geoscience, the physics and chemistry behind the evolution of the planet Earth from its birth to the present - Life Science, the molecules and mechanisms of life on Earth - Ecology, the interdependence of all components within the Ecosphere and the Universe - Information Content, emphasis on how words and phrases and framing of issues affect opinions, reliability of sources, and the limitations of knowledge.