Books in Chemistry general

A comprehensive overview of core chemical principles, including chemical reactions, thermodynamics, and molecular interactions. Showcasing the latest research, fundamental theories, and practical applications, this collection supports students, educators, and researchers in understanding and applying chemistry across diverse fields. Addressing sustainability, green chemistry, and technological integration, the titles enable a deeper grasp of chemical processes vital to industry, healthcare, and environmental solutions, fostering innovation and scientific progress.

Metamorphosis of Computational Chemistry Driven by Artificial Intelligence and Industry 5.0
1st Edition
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. The book 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 also 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.
Computational Modelling Approaches to Energy Storage Materials
Operating Mechanisms, State-of-the-Art Methods, and Applications to the Atomistic Modelling of Batteries and Capacitors
1st Edition
Daniele Fazzi + 1 more
English
One of the most important goals in sustainable energy management is the design of new energy storage materials capable of increasing battery performance, durability, and at the same time, taking up the global challenge of increasing the energy saving capabilities through sustainable solutions. Atomistic design has experienced a tremendous boost in the last two decades thanks to the implementation and application of quantum mechanics and molecular dynamics-based approaches coupled, very recently, to artificial intelligent/machine learning algorithms. Such methods pave the way for the discovery and design of new materials for energy storage technologies. Computational Modelling Approaches to Energy Storage Materials: Operating Mechanisms, State-of-the-Art Methods, and Applications to the Atomistic Modelling of Batteries and Capacitors demonstrates how theoretical and computational chemistry methods can be applied in describing and predicting the properties of energy storage materials. Part I of the book introduces the reader to this heterogeneous topic, providing a general overview of the different types of batteries and capacitors, highlighting (from both historical and mechanistic points of view) the physical and operating principles of such systems. Part II contains the methodological core of the book, in terms of theoretical and computational methods. Most existing books includes a similar section where the formalisms of different methods are given, such as by explaining the theoretical concepts. Although this approach is certainly valid, this book goes a step further by giving more relevance to the computational side. Part III concerns the application of the methods described in Part II (as standalones or as a combination of those methods) to study mechanisms, processes, properties, and working principles of several energy storage systems, all based on the initial description in Part I. Computational Modelling Approaches to Energy Storage Materials is written primarily for chemists, physicists and materials scientists at graduate, post-doc, and researcher level (with both theory and experimental background), wishing to apply computational methods to model the complexity of energy storage materials. The book will be highly relevant to researchers interested in applying different atomistic methods to the topic of energy materials, as well as specialists across the fields of physics, chemistry, materials science, and related engineering areas who require a better understanding of materials modelling.
Annual Reports on Computational Chemistry
1st Edition
Volume 22
English
A concise, reader-friendly synthesis of the field’s yearly progress, Annual Reports in Computational Chemistry surveys the most influential developments in theory, methods, and applications. From quantum chemistry and molecular dynamics to machine learning-accelerated predictions and big-data approaches, this volume distills cutting-edge algorithms, benchmarks, and case studies culled from leading research groups around the world. Ideal for researchers, graduate students, and practitioners, it highlights emerging trends, reproducibility practices, and open data resources shaping the next decade of computational chemistry.
Advances in Organometallic Chemistry
1st Edition
Volume 86
English
This volume collects invited chapters from leading researchers, covering advances in synthesis, structure and bonding, reaction mechanisms, and cutting-edge applications in catalysis, materials science, and sustainable chemistry. It serves as a comprehensive reference for researchers and graduate students seeking the latest methods, trends, and insights in organometallic science.
Annual Reports on Medicinal Chemistry
1st Edition
Volume 67
English
Annual Reports in Medicinal Chemistry Vol 67 provides timely and critical reviews of important topics in medicinal chemistry with an emphasis on emerging topics in the biological sciences that are expected to provide the basis for entirely new future therapies.
Catalytic Methods in Flow Chemistry: Part B
1st Edition
Volume 78
English
Catalytic Methods in Flow Chemistry: Part B, Volume 78 in the Advances in Catalysis series, highlights recent breakthroughs in catalytic methods under continuous‐flow conditions. This new volume presents chapters written by an international board of authors and explores cutting-edge strategies for enabling sustainable, scalable chemical synthesis. Topics include technological innovations that enhance efficiency and selectivity in continuous flow systems, the integration of biocatalysts for greener processes, and the development of streamlined approaches for active pharmaceutical ingredient (API) synthesis. Together, these contributions provide researchers and industrial practitioners with a comprehensive overview of advances that are shaping the future of flow chemistry and catalysis.
Advances in Carbohydrate Chemistry and Biochemistry
1st Edition
Volume 89
English
Advances in Carbohydrate Chemistry and Biochemistry, Volume 89 in this series, highlights new advances in the field, with this new volume presenting interesting chapters written by an international board of authors.
Annual Reports on NMR Spectroscopy
1st Edition
Volume 119
English
Magnetic resonance now has a history exceeding 70 years. Not only has the range of applications of magnetic resonance-based techniques grown exponentially but so too has the literature. Consequently, a distillation and synthesis of the literature is in itself an extremely important research tool, providing an efficient means to take newcomers to the research frontiers and keeping experienced researchers aware of contemporary practice.Since 1968 Annual Reports on NMR Spectroscopy been at the vanguard of reviewing the magnetic resonance literature. Annual Reports on NMR Spectroscopy covers magnetic resonance in all its forms, including theory, experiment, applications, and interconnections with other techniques. It also provides the opportunity to make coherent aspects of magnetic resonance that were scattered and opaque. Historical articles are also welcomed.Potential authors are encouraged to consult with the Editor.William S. PriceWestern Sydney University, NSW, Australiae-mail address: w.price@westernsydne...
Annual Reports on Medicinal Chemistry
1st Edition
Volume 66
English
Annual Reports in Medicinal Chemistry Vol 66 provides timely and critical reviews of important topics in medicinal chemistry with an emphasis on emerging topics in the biological sciences that are expected to provide the basis for entirely new future therapies.
Pattern Recognition Techniques in Gas Sensing
1st Edition
Ajit Khosla + 2 more
English
Pattern Recognition Techniques in Gas Sensing provides a comprehensive overview of the methods and technologies used to detect and analyze gases through advanced pattern recognition approaches. The book begins by introducing the fundamentals of gas sensors and their unique data characteristics, laying the groundwork for understanding the complexities involved in gas detection. It then explores the basics of pattern recognition, detailing various statistical methods that have been traditionally employed to interpret sensor data. The text looks into Bayesian and probabilistic methods, offering insights into their applications for improving gas sensing accuracy. Cluster analysis techniques are examined as tools for grouping sensor responses to identify specific gas patterns. The integration of machine learning in gas sensing is thoroughly discussed, highlighting how these algorithms enhance detection capabilities by learning from complex datasets. Further, the book presents deep learning techniques, showcasing their power in handling large volumes of sensor data and extracting meaningful features for precise gas identification. Data processing techniques essential for preparing and refining sensor outputs are also covered, providing readers with practical knowledge for real-world applications. The book concludes with a forward-looking perspective on emerging trends and future directions in gas sensing, emphasizing the continuous evolution of pattern recognition technologies. This book serves as an essential resource for researchers, engineers, and professionals seeking to advance the field of gas sensing through innovative pattern recognition techniques, fostering more accurate and reliable detection systems.