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Books in Physical sciences and engineering

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    • Calculation Methods in Nuclear Physics

      • 1st Edition
      • May 1, 2026
      • Sergey Dubovichenko
      • English
      • Paperback
        9 7 8 0 4 4 3 5 1 5 3 3 0
      • eBook
        9 7 8 0 4 4 3 5 1 5 3 4 7
      Calculation Methods in Nuclear Physics is a specialized reference that addresses the critical need for advanced computational tools and mathematical models in nuclear physics research. It focuses on solving Schrödinger equations for various nuclear systems, including scattering states and bound states, using numerical and variational techniques. The book covers both real and complex potentials, with detailed algorithms and source code examples, primarily in Fortran 90 and Turbo Basic, enabling researchers and students to implement these methods in their own work. The chapters are organized systematically, covering topics such as scattering phase shifts, bound state characteristics, and cross-section analyses for nuclear scattering and photonuclear processes. The structure emphasizes practical, step-by-step procedures and computational algorithms, making it suitable for both theoretical development and implementation. The content systematically explores the Schrödinger equation, tensor potentials, phase shift analysis, and reaction cross sections, providing a comprehensive toolkit for nuclear reaction modeling. Calculation Methods in Nuclear Physics is invaluable for nuclear physicists, computational scientists, and advanced students involved in low-energy nuclear reactions, structure analysis, and astrophysics. It bridges physical theory, mathematical methods, and programming, fostering a deeper understanding and practical skills essential for cutting-edge research. By offering detailed algorithms and models, the book enhances researchers’ ability to perform precise nuclear data analysis and modeling, supporting ongoing advancements in nuclear science.

    • Digital Twins in Manufacturing: Concepts and Methods

      • 1st Edition
      • May 1, 2026
      • Masoud Soroush + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 4 4 9 8 2
      • eBook
        9 7 8 0 4 4 3 4 4 4 9 9 9
      Digital Twins in Manufacturing: Concepts and Methods explores digital twin technologies, providing innovative perspectives and practical insights that transcend traditional coverage. The book addresses the complexities of understanding and applying digital twin concepts in manufacturing environments, where professionals often struggle to bridge the gap between physical and virtual systems. With contributions from worldwide leaders in the field, this book serves as an essential resource for anyone looking to navigate the future of digital twins. The book covers critical areas such as the systems components of digital twins, foundational definitions, modeling and simulation techniques, data integration, and the role of AI and machine learning. Readers will also gain insights into communication technologies, interoperability, security considerations, and the development life cycle of digital twins. Each chapter is designed to equip professionals with the knowledge needed to effectively replicate and monitor real-world assets, ultimately enhancing operational efficiency and driving innovation. Digital Twins in Manufacturing: Concepts and Methods is an invaluable asset for engineers, data scientists, IT professionals, and researchers in manufacturing and industrial engineering. By demystifying complex concepts and providing actionable methodologies, this book empowers readers to leverage digital twins for sustainable growth and improved product design.

    • Green and Sustainable Materials for Biomedical Applications

      • 1st Edition
      • May 1, 2026
      • Sanjeev Gautam + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 4 0 0 3 8
      • eBook
        9 7 8 0 4 4 3 4 4 0 0 4 5
      In recent years, the critical importance of addressing environmental sustainability in various sectors, including healthcare and biomedicine, has become increasingly apparent. These fields often rely on traditional materials and manufacturing methods that significantly harm the environment, from depleting resources to generating pollution and waste. Concurrently, advancements in materials science have led to the development of "green" or eco-friendly materials, which promise to lessen environmental damage while maintaining or even enhancing performance. Green and Sustainable Materials for Biomedical Applications examines the applications and advantages of green materials within biomedical engineering and sustainable development. Written by an international team of contributors, it shows how innovative green materials can contribute positively to healthcare and other areas, by merging perspectives from materials science, biomedical engineering, and sustainability studies

    • Decarbonizing through Sustainable Hydrogen and its Derivatives

      • 1st Edition
      • May 1, 2026
      • Asmae Berrada + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 6 3 2 3
      • eBook
        9 7 8 0 4 4 3 2 7 6 3 3 0
      Decarbonizing through Sustainable Hydrogen and its Derivatives offers a technical analysis of renewable hydrogen production, utilization, and storage. It explores the potential of green hydrogen to decarbonize high-emissions industries through successful case studies. The book explores hydrogen derivatives such as green ammonia and green methanol, showcasing their applications in various industries, including agriculture and transportation. By highlighting the resourcefulness of green hydrogen and its derivatives, the book demonstrates how these technologies can be efficiently utilized, ensuring minimal waste and maximum environmental benefit. The book begins with an in-depth assessment of hydrogen storage for short, medium, and long-term needs. It then explores strategies for decarbonizing the transport and steel industries throughout their life cycles, focusing on utilizing hydrogen derivatives and emphasising sustainability. Alongside environmental sustainability, the book evaluates the profitability of using hydrogen in these industries through detailed economic analysis. This comprehensive analysis is supported by real-world case studies and examples of pilot projects that showcase the implementation of hydrogen technologies across different sectors. These practical examples provide readers with valuable insights into the opportunities and challenges associated with using hydrogen and its derivatives for decarbonization. By providing a detailed technical analysis and highlighting the latest advancements in hydrogen technology, Decarbonizing through Sustainable Hydrogen and its Derivatives serves as a timely and comprehensive resource for researchers, industry professionals, and policymakers. It equips readers with the knowledge and tools needed to leverage hydrogen for a cleaner and more sustainable future.

    • 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.

    • Chemical Looping Deoxygenated Gasification of Biomass

      • 1st Edition
      • May 1, 2026
      • Zhiqiang Sun + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 7 5 7 2 2
      • eBook
        9 7 8 0 4 4 3 2 7 5 7 3 9
      Chemical Looping Deoxygenated Gasification of Biomass: A Renewable and Carbon-Neutral Energy Source is an essential resource that delves into the cutting-edge technology of chemical looping deoxygenated gasification for biomass. Offering a viable solution for efficient, sustainable energy production, this book investigates recent innovations and practical developments in biomass conversion. Readers gain a thorough understanding of the technology’s environmental benefits, economic considerations, and scalability. With its structured chapters and detailed explanations, the book equips professionals and students alike with the knowledge needed to address modern energy challenges and harness biomass for carbon-neutral power generation.In addition to its focus on technological advancements, the book examines the screening of deoxidizer materials through thermodynamic and machine learning methods, and explores system modeling, simulation, and hydrogen production. It provides comprehensive analyses on carbon dioxide utilization, biomass gasification kinetics, and features real-world case studies. The inclusion of cost-benefit analysis and lifecycle assessments further enhances the book’s value, making it indispensable for researchers, engineers, and students in the bioenergy field.

    • Design Reliability and Maintainability of Energy Systems

      • 1st Edition
      • May 1, 2026
      • Fausto Pedro Garcia Marquez + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 5 2 3 1 4
      • eBook
        9 7 8 0 4 4 3 4 5 2 3 2 1
      Designing reliable and maintainable energy systems is crucial for ensuring efficiency, longevity, and sustainability in energy production, distribution, and consumption. Reliability focuses on minimizing failures and ensuring continuous operation under varying conditions, while maintainability emphasizes ease of inspection, repair, and upgrades. A well-designed energy system integrates robust components, predictive maintenance strategies, and advanced monitoring technologies to reduce downtime and operational costs. By prioritizing both reliability and maintainability, engineers can develop resilient energy infrastructures that support modern demands while minimizing environmental impact and lifecycle costs.Designing Reliability and Maintainability of Energy Systems is a guide to enhancing the resilience and reliability of modern energy infrastructures. Chapters present fundamental principles of reliability and resilience and new artificial intelligence applications, such as predictive maintenance, advanced analytics, and digital twin technologies for improved efficiency and sustainability in energy systems. Clear chapter objectives, worked problems, and case studies are included to demonstrate real-world applications of these technologies.This book is valuable for researchers, industry professionals, engineers, and advanced undergraduate and graduate students focused on energy grids, power system reliability, and AI-driven solutions for sustainable infrastructure.

    • Distributed AI in the Modern World

      • 1st Edition
      • May 1, 2026
      • Andrei Olaru + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 4 6 7 9 5
      • eBook
        9 7 8 0 4 4 3 4 4 6 8 0 1
      Distributed AI in the Modern World: Technical and Social Aspects of Interacting Intelligent Agents presents several state-of-the-art insights into the various forms of distribution of artificial intelligence, with practical application instances. This book does not analyze the internal workings of machine learning models (for instance, in the case of multi-agent reinforcement learning), but instead provides readers with an overview of the challenges brought by the need of artificially intelligent entities to interact with other entities and with their environment along with practical solutions at an architectural level. Deployment, maintenance and monitoring of distributed machine learning systems brings about many practical challenges, dealing with the intelligent agents distributed across a network of heterogenous devices, or interacting with robots and humans alike. While these scenarios are very different, some challenges remain the same when interaction exists: discoverability, availability, communication language and formats, and efficiency in transferring significant amounts of information. The book provides readers with practical solutions at an architectural level, with solutions presented in three parts. Part 1 deals with the distribution of the learning process and the utilization of machine learning models in a distributed system. Part 2 deals with tools that enable the distribution and interaction of artificial learning entities and how multi-agent systems and machine learning can be combined. Part 3 deals with the physical embodiment of intelligent agents and the interaction of intelligent computing units bound to physical space. The three parts are followed by a conclusion, emphasizing the challenges that are common to all scenarios and solutions which apply in a wider range of cases.

    • Advanced Manufacturing and Machining Aspects of Composite Materials

      • 1st Edition
      • May 1, 2026
      • Rajesh Kumar Verma + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 4 7 3 5 1
      • eBook
        9 7 8 0 4 4 3 3 4 7 3 6 8
      Advanced Manufacturing and Machining Aspects of Composite Materials explores the complex world of composite materials, focusing on advanced manufacturing techniques and machining processes. The book begins by explaining the fundamentals of composite materials, including their distinct features and characteristics. It then goes on to investigate various production procedures, from traditional to cutting-edge technology, providing insights into the complexities of constructing these robust structures. A significant proportion of the book focuses on machining elements, with detailed descriptions on how to perform it more efficiently. The book explores the field of precision machining, specifically examining the selection of tools, cutting settings, and process optimization, with the goal to improve efficiency, whilst preserving the integrity of the composite structure. Readers will learn how to pick the most suitable tools, adjust cutting settings, and optimize process parameters to improve productivity whilst avoiding harm to the delicate composite structure. The book provides a comprehensive analysis of these important elements, making it a helpful tool for comprehending, implementing, and enhancing the latest techniques in the production and processing of composite materials.

    • Essential Kubeflow

      • 1st Edition
      • May 1, 2026
      • Prashanth Josyula + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 4 5 2 5 4 3
      • eBook
        9 7 8 0 4 4 3 4 5 2 5 5 0
      Essential Kubeflow: Engineering ML Workflows on Kubernetes equips readers with the tools to transform ML workflows from experimental notebooks to production-ready platforms with this comprehensive guide to Kubeflow, one of the most widely adopted open source MLOps platforms used to automate ML workloads. Whether you're a Machine Learning engineer looking to operationalize models, a platform engineer diving into ML infrastructure, or a technical leader architecting ML systems, this book provides practical solutions for real-world challenges. Through hands-on examples and production-tested patterns, readers will master essential skills for building enterprise-grade Machine Learning platforms: architecting production systems on Kubernetes, designing end-to-end ML pipelines, implementing robust model serving, scaling workloads efficiently, managing multi-user environments, deploying automated MLOps workflows, and integrating with existing ML tools. By the end of this book, readers will have the expertise to build and maintain scalable ML platforms that can handle the demands of modern enterprise AI initiatives.

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