Skip to main content

Books in Chemistry

Chemistry topic areas include: physical and theoretical, computational, organic, organometallic and inorganic, pharmaceutical and medicinal, analytical and bioanalytical, nuclear, general, nanochemistry, geochemistry, materials and polymer, as well as environmental, green and sustainable chemistry.

    • Elementary Kinetic Modelling in Catalytic Reaction Engineering

      • 1st Edition
      • May 1, 2026
      • Joris W. Thybaut + 5 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 4 0 3 2 4
      • eBook
        9 7 8 0 4 4 3 2 4 0 3 3 1
      Elementary Kinetic Modelling in Catalytic Reaction Engineering is a practical focused text that brings together the relevant basics for reaction engineering and shows their applications to a wide variety of examples, whilst looking at the intrinsic kinetics data acquisition, reaction mechanism elucidation, elementary step-based modelling and model-based design and optimization involved.The book aims at spanning the entire process from acquisition of the relevant data in dedicated experimental set-ups, over the proper treatment of the data and the corresponding interpretation up to the quantification of the gained understanding in a model. The latter aspect allows the reader to challenge the interpretation made of the data and design subsequent experiments or improve the interpretation/model formulation. The coverage is not just limited to the generic (theoretical) principles but will also carefully consider and explain their application to a variety of real-life applications including gas- and liquid-phase reactions, heterogeneously catalyzed reactions involving adsorption either in the Henry regime or at full saturation of the catalyst or combined homogeneous-heteroge... reactions.Elementary Kinetic Modelling in Catalytic Reaction Engineering is written primarily for graduate students and postdoc researchers in chemical engineering or applied industrial chemistry studying chemical reaction engineering and catalysis, as well as physical chemists studying kinetics.
    • Synthetic Polymer Chemistry

      • 1st Edition
      • May 1, 2026
      • Pradip Bhowmik
      • English
      • Paperback
        9 7 8 0 4 4 3 3 2 8 3 0 5
      • eBook
        9 7 8 0 4 4 3 3 2 8 3 1 2
      Synthetic Polymer Chemistry provides a comprehensive, thoughtfully organized introduction to polymers and their physical properties, as well as different types of polymerization reactions. This book aims to explain the bridge between organic and polymer chemistry in an accessible manner, proving to be a helpful resource for an essential course that many students struggle to connect with. To help overcome this challenge and link the two disciplines in useful and exciting ways, this textbook emphasizes the connection between organic chemistry and polymer chemistry, and how knowledge of one can benefit the understanding of the other. This book helps students and researchers build a strong foundation of organic chemistry and polymer chemistry understanding so they can grasp the materials covered in advanced polymer chemistry. Polymer chemistry is an applied field that is present everywhere around us. As users of this book begin to perceive the importance of polymer chemistry in daily life, they are sure to be excited to explore more polymer chemistry methods that pique their interest. Synthetic Polymer Chemistry covers an array of integral topics, from the introduction of polymers and their physical properties to morphology (crystalline and amorphous phase) to molecular weights measurements and solubility. Different types of polymerization reactions (free radical, cationic, anionic condensation) based on organic reaction mechanisms are also discussed across various chapters in vivid detail. This text is ideal for courses in polymer chemistry, organic chemistry, materials science and engineering, and biomedical engineering.
    • Cheminformatics with Python

      • 1st Edition
      • May 1, 2026
      • Zhimin Zhang + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 9 1 8 6 9
      • eBook
        9 7 8 0 4 4 3 2 9 1 8 7 6
      Machine learning and deep learning have now been widely used in cheminformatics, and programming skills are becoming a must for most chemists. Python has become an invaluable and highly popular open-source programming language that is ideally suited for data analysis and artificial intelligence in the field. Cheminformatics with Python provides a ground-up, practical introduction that will help the reader make effective use of the software, demonstrating how to use Python to write efficient cheminformatics programs and how to apply it to solve practical chemical problems. The book contains four main parts: programming, data, methods, and applications. In the programming section, a brief introduction to Python language and related scientific computing, cheminformatics, machine learning, and deep learning packages is provided, building knowledge from the ground up. In the data section, a systematic study of the representation of instrumental data, representation of molecular structures, and common chemical databases is given. In the methods section, analytical signal processing, multivariate calibration, multivariate resolution, classical machine learning, and deep learning methods are introduced in detail. The application section then looks at case studies of successful applications of cheminformatics in analytical chemistry, metabolomics, drug discovery, materials science, and other research areas which are demonstrated in detail. Finally, in the supporting appendix section, the necessary mathematical, statistical, and information theory-related theories in the main text are provided, and practical tips such as code editors and source code management are also included. Online coding materials on GitHub and an individual Jupyter notebook for each chapter further support practical learning. Cheminformatics with Python is written primarily for senior undergraduate students, graduate students, post-docs, and professors primarily in the field of computational and analytical chemistry who are harnessing AI, as well as those in medicinal and biochemistry or materials science applying cheminformatics in drug discovery, materials design, or metabolomics research.
    • Analytical and Chemometric Tools

      • 1st Edition
      • May 1, 2026
      • Alessandra Biancolillo
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 5 8 6 5
      • eBook
        9 7 8 0 4 4 3 2 1 5 8 7 2
      Analytical and Chemometric Tools: An up-to-date Tutorial with Practical Applications to Food Security and Safety provides a one-stop tutorial in understanding the tools required for applying chemometrics to food and forensic chemistry. With a generous compilation of practical examples, the book covers a theoretical discussion of chemometric methods, summarizes up-too-date targeted and untargeted analytical methods in the field of forensic science, and presents real-life case studies applied to methods of chemometrics for food and forensic chemistry. This book is a valuable resource for chemists, forensic scientists, food scientists, students, and all those who wish to broaden their knowledge in the allied field.
    • Enhanced Sampling Methods for Molecular Dynamics

      • 1st Edition
      • May 1, 2026
      • Ron Elber
      • English
      • Paperback
        9 7 8 0 4 4 3 3 2 8 2 2 0
      • eBook
        9 7 8 0 4 4 3 3 2 8 2 3 7
      Enhanced Sampling Methods for Molecular Dynamics: Algorithms, Implementations, and Applications provides a single introductory resource for understanding enhanced sampling techniques for molecular dynamics studies of equilibrium and kinetics, discussing the theory, algorithm, and implementation of techniques for equilibrium studies, such as Umbrella Sampling, Replica Exchange, Generalized Ensembles, and Metadynamics. A similar discussion of methodologies for enhanced sampling for kinetics then follows. Ron Elber considers exact and approximate approaches of enhanced sampling, their speed, rate of convergence, and accuracy. He examines the necessary inputs of these approaches, such as prior knowledge of the reaction coordinate (or several coarse variables). The chapters consider path integral formulation, Weighted Ensemble, Transition Path Sampling, and Milestoning. Finally, simple, detailed examples illustrate the enhancements and prepare the reader for their use in more complex systems. Enhanced Sampling Methods for Molecular Dynamics: Algorithms, Implementations, and Applications is written primarily for computational chemists and biochemists (graduate students and postdoctoral fellows) as well as computational and theoretical scientists who study molecular processes. Experimentalists in the biophysics and biochemistry fields, as well as practitioners in the drug and material design areas who use standard software tools to conduct MD simulations of their experimental systems will also find the book of interest.
    • Studies in Natural Products Chemistry 89

      • 1st Edition
      • May 1, 2026
      • Atta-ur-Rahman
      • English
      • Paperback
        9 7 8 0 4 4 3 3 2 9 7 0 8
      • eBook
        9 7 8 0 4 4 3 3 2 9 7 1 5
      Natural products in the plant and animal kingdom offer a huge diversity of chemical structures that are the result of biosynthetic processes that have been modulated over the millennia through genetic effects. With the rapid developments in spectroscopic techniques and accompanying advances in high-throughput screening techniques, it has become possible to isolate and then determine the structures and biological activity of natural products rapidly, thus opening up exciting opportunities in the field of new drug development to the pharmaceutical industry. Studies in Natural Products Chemistry covers the synthesis or testing and recording of the medicinal properties of natural products, providing cutting edge accounts of the fascinating developments in the isolation, structure elucidation, synthesis, biosynthesis and pharmacology of a diverse array of bioactive natural products.
    • Lithium Process Chemistry

      • 2nd Edition
      • May 1, 2026
      • Alexandre Chagnes + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 0 6 1 2 6
      • eBook
        9 7 8 0 4 4 3 4 0 6 1 3 3
      Lithium Process Chemistry: Resources Extraction, Batteries, and Recycling, Second Edition dives deep into the intricate world of lithium sustainability, production, and advanced battery technologies. This comprehensive guide serves as an essential resource for researchers and professionals engaged in lithium-ion technology and sustainability. It covers the critical aspects of the lithium supply chain, from extraction methods to innovative recycling processes, offering solutions to the pressing challenges of the rapidly expanding lithium-ion battery market. Featuring detailed discussions on global lithium resources, fundamental electrochemistry, and cutting-edge battery technologies, the book explores key topics such as lithium production processes, minerallurgical and hydrometallurgical recycling methods, and the life cycle of lithium-ion batteries. Each chapter emphasizes the importance of sustainable practices, equipping readers with the knowledge to manage lithium resources responsibly and in alignment with environmental goals. This second edition of Lithium Process Chemistry: Resources Extraction, Batteries, and Recycling is fully revised, updated and expanded, covering lithium resources, production processes, battery technologies, recycling methods, and perspectives, with a particular focus on improving sustainable lithium battery technologies and their environmental impact, and offering vital insights into the future of lithium-ion batteries and their role in a circular economy.
    • Analytical Chemistry for Environmental Solutions

      • 1st Edition
      • May 1, 2026
      • Rohit Bhatia + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 5 5 0 7 0
      • eBook
        9 7 8 0 4 4 3 4 5 5 0 8 7
      Analytical Chemistry for Environmental Solutions: Elements of Change is an interdisciplinary and forward-looking textbook that bridges analytical chemistry, environmental science, and sustainability. It provides in-depth coverage of cutting-edge analytical techniques, emerging trends like AI-powered data analysis and real-time monitoring, and the global impact of environmental issues, aligning with sustainability goals such as clean water, climate action, and sustainable cities. The book offers practical case studies, real-world data analysis, and a comprehensive instructor's manual, making it suitable for both academic and professional audiences. Its focus on global perspectives and cultural sensitivity ensures it resonates across diverse regions, while interactive learning tools and digital resources enhance the educational experience. Designed to equip students with problem-solving, critical thinking, and data analysis skills, this textbook is an ideal resource for the next generation of environmental scientists, policymakers, and sustainability experts. Analytical Chemistry for Environmental Solutions: Elements of Change emphasizes a balanced, pedagogical approach, bridging new material in analytical chemistry processes to foundational concepts with which readers are more familiar. This first edition, along with a sturdy collection of interactive ancillary resources for both students and instructors, delivers accessible, engaging, and comprehensive resources for readers, enhancing both the understanding and practical applications of analytical chemistry in environmental science.
    • Practical Process Research and Development

      • 3rd Edition
      • May 1, 2026
      • Neal G. Anderson
      • English
      • Paperback
        9 7 8 0 4 4 3 3 6 5 2 2 5
      • eBook
        9 7 8 0 4 4 3 3 6 5 2 3 2
      Practical Process Research and Development: A Guide for Organic Chemists, Third Edition provides a concise, comprehensive, step-by-step framework to support understanding and implement organic process research and development in the pharmaceutical, fine chemical, and agricultural chemical industries. Neal G. Anderson has heavily updated the book once again for its third edition, whilst retaining the basic spirit and structure of the first two editions. The book describes the steps taken following synthesis and evaluation to bring key compounds to market in a cost-effective manner. He describes hands-on, step-by-step, approaches to solving process development problems, including route, reagent, and solvent selection, optimising catalytic reactions, chiral syntheses, and green chemistry. Practical Process Research and Development: A Guide for Organic Chemists, Third Edition is written primarily for organic, medicinal, pharmaceutical, and chemical process development chemists as well as chemical engineers- it is well suited for beginners at upper undergraduate and graduate student level and early career researchers who need an accessible insight into industrial process R&D.
    • Comprehensive Medicinal Chemistry IV

      • 4th Edition
      • May 1, 2026
      • David Rotella + 1 more
      • English
      • Hardback
        9 7 8 0 4 4 3 2 9 8 0 8 0
      • eBook
        9 7 8 0 4 4 3 2 9 8 0 9 7
      Comprehensive Medicinal Chemistry, Fourth Edition provides a contemporary and forward-looking critical analysis and summary of recent developments, emerging trends, and recently identified new areas where medicinal chemistry is having an impact. The discipline of medicinal chemistry continues to evolve as it adapts to new opportunities and strives to solve new challenges. These include drug targeting, biomolecular therapeutics, development of chemical biology tools, data collection and analysis, in silico models as predictors for biological properties, identification and validation of new targets, approaches to quantify target engagement, new methods for synthesis of drug candidates such as green chemistry, development of novel scaffolds for drug discovery, and the role of regulatory agencies in drug discovery. A list of new areas covered includes: - newer assays, techniques, applications in medicinal chemistry - use of artificial intelligence and machine learning in drug discovery and development (prediction of drug efficacy, toxicity, and ADME properties, identification of new drug targets; design of novel drug candidates) - big data - chemical biology - degradation technologies - Precision medicine (targeted therapies; the use of biomarkers to guide drug development)