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Books in Physical sciences and engineering

  • Lattice Dynamics of Molecular Crystals and Weak Chemical Interactions

    Investigation using Raman Spectroscopy Methods
    • 1st Edition
    • Boris Kolesov
    • English
    Weak chemical interactions (van der Vaals, halogen and hydrogen bonding) establish the structure of molecular crystals. Even if the nature of van der Vaals interaction is now well understood and described, then the essence of halogen and hydrogen bonds is still debated. Understanding their nature is crucial for the design and synthesis of organic, pharmaceutical and biological systems, as well as for predicting the main physicochemical properties of synthesized objects.Lattice Dynamics of Molecular Crystals and Weak Chemical Interactions: Investigation using Raman Spectroscopy Methods shows how to fully exploit the capabilities of Raman spectroscopy in the study of weak chemical interactions in molecular crystals. It presents the concept of weak chemical interactions based on experimental study of a wide class of molecular crystals. Information on the temperature dependence of the parameters of vibrational modes makes it possible to obtain information on the potential of intermolecular interaction, the degree of its anharmonicity, the orientational mobility of molecules in a crystal, structural phase transitions, and the behaviour of a proton on a hydrogen bond.Lattice Dynamics of Molecular Crystals and Weak Chemical Interactions: Investigation using Raman Spectroscopy Methods is written primarily for physical and organic chemists as well scientists and engineers involved in crystal engineering and the synthesis and design of any molecular crystals and crystalline structures containing weak chemical interactions. It will also be of use to anyone investigating lattice dynamics probed by Raman spectroscopy, including a diverse range of chemists and physicists or those whose interests lie in the fields of biological or pharmaceutic systems.

  • Computer Simulation of Buildings and Solar Energy Systems

    • 1st Edition
    • Juergen Schumacher
    • Ursula Eicker
    • English
    Computer Simulation of Buildings and Solar Energy Systems aims to bridge the gap between the basic concepts and theoretical aspects of solar technology, and their practical applications, enabling readers to simulate solar energy systems, solar thermal energy, and thermal performance of buildings. Acknowledging the critical need for robust, scalable simulation tools that can adapt to varied climates, helping professionals and students overcome challenges related to energy efficiency, sustainable urban development, and the optimization of renewable resources, the book covers the fundamentals and latest advances in simulation techniques and tools that are crucial to accelerating the transition to renewable energy. This is supported by case studies, example code, equations, data sets, and extensive visuals such as process diagrams, flowcharts, and photos. This is a valuable resource to readers at various levels, from practitioners looking to enhance their technical skills in renewable energy and building simulation, to academic researchers exploring innovative simulation methodologies, to students looking to understand simulation techniques in this complex, multidisciplinary area.

  • Integration of Thermoelectric Technology in Hybrid Solar Energy Systems

    • 1st Edition
    • Howard Njoku + 1 more
    • English
    Integration of Thermoelectric Technology in Hybrid Solar Energy Systems brings together the latest developments and highlights emerging trends in the application of thermoelectrics in hybrid solar energy systems, supported by practical guidance and case studies. The book begins by introducing the key concepts of thermoelectrics and hybrid renewable energy systems, with discussion of hybrid system types, methods of hybridization, design, optimization, and performance, as well as detailed coverage of thermoelectrics for cooling and power generation in terms of fundamental physics, underlying equations, modelling and simulation, and analytical, numerical, and hybrid approaches. This is followed by further in-depth chapters focusing on specific application areas, including solar thermoelectric (TE) power generation, hybrid solar PV-TE power generation, hybrid solar thermal-TE heating systems, TE-embedded solar distillations, hybrid solar-TE cooling systems, and solar-TE applications for indoor thermal comfort. A final chapter explores the economics and environmental considerations in the integration of thermoelectric systems in solar energy systems, covering methodologies for applying cost-benefit analyses and life-cycle assessments, and potential environmental benefits. This is a helpful resource to all those looking to stay up-to-date with the latest research developments, to deepen their understanding of the field, or to leverage the latest research findings to inform decision-making and innovation, including researchers, advanced students, faculty, engineers, R&D, scientists, industry professionals, and policy makers.

  • Recent Advances in Artificial Intelligence and Machine Learning for Thermochemical and Biochemical Bioprocess

    • 1st Edition
    • Mukesh Kumar Awasthi + 2 more
    • English
    Recent Advances in Artificial Intelligence and Machine Learning for Thermochemical and Biochemical Bioprocess delves into the transformative role of AI and ML in enhancing the efficiency and effectiveness of bioprocess operations. The book covers everything from predictive modeling and bioreactor design to the integration of IoT in Bioprocess 4.0, and synthesizes the latest scientific advancements and practical applications in the field of thermochemical and biochemical bioprocesses. The book explores a wide array of topics, including deep learning applications in gasification, the role of artificial neural networks in process control, and the use of genetic algorithms in thermochemical processing. Each chapter offers invaluable insights into current methodologies and future perspectives. Recent Advances in Artificial Intelligence and Machine Learning for Thermochemical and Biochemical Bioprocess provides a solid foundation for applying AI and ML techniques to tackle pressing challenges in clean fuel production, waste management, and climate change mitigation.

  • 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.

  • Composite Truss Bridges With Concrete-filled Rectangular Steel Tube Members

    • 1st Edition
    • Yongjian Liu + 1 more
    • English
    Composite Truss Bridges with Concrete-filled Rectangular Steel Tube Members provides an overview of concrete filled steel tubular or CFST and the new structures and technologies in bridge engineering based on CFRST trusses. It covers both the mechanical properties of different CFRST structures and the design method and calculation method of CFRST composite truss bridge structures. It reviews the characteristics and advantages of new CFRST structures and the new technologies applied in real-world engineering situations

  • Design and Simulation of Conventional and Complex Distillation Systems

    • 1st Edition
    • Arturo Jiménez-Gutiérrez + 2 more
    • English
    Design and Simulation of Conventional and Complex Distillation Systems serves as a comprehensive guide to the design of conventional and complex distillation processes with a unique combination of conceptual design methods, validations via rigorous simulations, including visual descriptions and videos of the simulation tasks. This book provides a comprehensive overview of both conventional and complex distillation systems for the separation of multicomponent mixtures. It covers the fundamental principles, design methodologies, and simulation techniques required to effectively analyze and optimize these systems. This book combines conceptual design methods for different types of distillation systems with the validation steps that follow by using rigorous simulations, as well as the inclusion of detailed explanations and illustrative examples throughout to explain all concepts explored in each chapter. This book will be an invaluable guide chemical engineering students, researchers, and professionals who seek to deepen their understanding of distillation processes and enhance their knowledge to design and simulate efficient and modern distillation systems.

  • Decarbonization by Electrification in Buildings and Vehicles

    • 1st Edition
    • Yuekuan Zhou
    • English
    Decarbonization by Electrification in Buildings and Vehicles serves as a comprehensive reference and guide to the topic of decarbonization of buildings and electric vehicles presenting fundamental concepts, cutting-edge technologies, and in-depth problem-solving. Split into clear sections, this book covers the fundamentals of historic energy use and decarbonization strategies in the area, strategies from vehicle-to-X to dynamic matching and energy storage, modeling and analysis for a range of systems, and essential challenges. Providing a coherent set of guidelines to the decarbonization of these challenging sectors, Decarbonization by Electrification in Buildings and Vehicles will support upper-level undergraduate and graduate students, researchers, and engineers looking for new ways to make the energy future more sustainable.

  • Machine Learning Applications in Thin-Walled Structure Engineering

    Innovations and Future Directions
    • 1st Edition
    • A. Praveen Kumar + 2 more
    • English
    Machine Learning Applications in Thin-Walled Structure Engineering brings into sharp focus in-demand knowledge applicable to plate and shell structures, cold–formed steel sections, reinforced plastics components, and aluminum frameworks across a wide range of field applications. By highlighting the transformative synergy between artificial intelligence and structural engineering, it presents innovative methods to streamline design evaluations, detect anomalies early, and forecast structural performance under diverse conditions of load, stress, and environmental influence.The book covers––among other key recent developments––the integration of ML with digital twin technology for real-time monitoring in support of proactive assessment and intervention efforts to extend service life; the use of advanced algorithms for material selection and behavior prediction; hybrid models that combine traditional analytical methods with ML to increase simulation precision; and emerging trends such as adaptive systems for more resilient, efficient, and sustainable structural solutions.With its interdisciplinary approach and practical examples, this resource proves to be essential to establish a solid understanding of the challenges posed by lightweight systems and how ML techniques can enhance their design, analysis, and maintenance—critical for engineers striving to improve both current strategies and future advancements in thin-walled structures’ long-term safety and reliability.

  • Cementitious Matrices for Low- and Intermediate-Level Radioactive Waste Immobilization

    • 1st Edition
    • Pavlo Kryvenko + 2 more
    • English
    Cement-based materials are integral to radioactive waste repositories, providing versatile solutions for diverse management and disposal strategies. Cementitious Matrices for Low- and Intermediate-Level Radioactive Waste Immobilization reports research progress in this context, reviewing both traditional solidification methodologies and state-of-the-art developments in cementation technologies that promise to fulfill safety functions more dependably and ensure closer compliance with environmentally conscious practices and regulations.The book proves to be a compelling resource for readers at various levels of familiarity with the topic both in academia and industry by tackling all facets of designing a waste form. It begins by classifying and characterizing radioactive wastes and explaining the chemistry of cementitious matrices, facilitating the choice of solidification agents and processing equipment. It offers guidelines for the selection of bonding materials, such as hydraulic cement or polymers, and discusses several admixtures and adsorbents to enhance embedding, binder properties, and contaminant stabilization. It also includes statistical techniques for generating response surface models for large, complicated applications and case studies that collate the international authoring team’s first-hand insights into optimized handling of immobilized waste forms.

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