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Books in Physical sciences and engineering

  • Fundamentals of Solar Cells and Photovoltaic Systems Engineering

    • 1st Edition
    • Marta Victoria
    • English
    **2025 Textbook and Academic Authors Association (TAA) Most Promising New Textbook Award Winner**Fundamentals of Solar Cells and Photovoltaic Systems Engineering presents all the major topics relevant to understanding photovoltaic technology, including the working principles of solar cells, modeling and measuring solar radiation, manufacturing processes for solar cells and photovoltaic modules, the design and operation of rooftop installations and large-scale power plants, the economics of such systems, and the role of photovoltaic solar energy in the ongoing energy transition. This book is intended for use as a textbook on photovoltaic solar energy for upper-level undergraduate/gradua... engineering students.

  • Biomaterials and Stem Cell Therapies for Biomedical Applications

    • 1st Edition
    • Deepti Singh + 2 more
    • English
    Biomaterials and Stem Cell Therapies for Biomedical Applications discusses the current research concepts and emerging technologies in the fields of biomaterials and tissue engineering. Divided into four distinct sections, the book explores these state-of-the art technologies, opening with a description of stem cell technologies for biomedical applications before exploring biomaterials for biomedical applications, combinational approaches using stem cells and biomaterials, and finally, nanomedicine approaches for tissue regeneration. Topics include wound healing, tissue engineering, regenerative biomaterials, and stem cell treatments for wound healing and tissue regeneration. This concise and informative volume presents the latest developments in a highly informative and easy-to-read style.

  • Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem

    A Humanity Worth Saving
    • 1st Edition
    • Dominique J. Monlezun
    • English
    Responsible Artificial Intelligence Re-engineering the Global Public Health Ecosystem: A Humanity Worth Saving is the first comprehensive book showing how trustworthy AI can revolutionize decolonized global public health. It explains how it works as an ecosystem and how it can be fixed to equitably empower us all to solve the defining crises of our era, from poverty to pandemics, climate to conflicts, debt to divisions. It is written from the first-hand perspective of the world’s first triple doctorate trained physician-data scientist and ethicist who has cared for more than 10,000 patients and authored 5 AI textbooks and more than 400 scientific and ethics papers. This essential resource integrates science, political economics, and ethics to unite our unique cultures, belief systems, institutions, and governments. In doing so, it is meant to give humanity a fighting chance against shared existential threats through cooperation and managed strategic competition for integral sustainable development.Taking seriously diverse voices, perspectives, and insights from the Global North and the Global South, this book uses concrete examples backed up by clear explanations to elucidate the current failures, emerging successes, and societal trends of global public health. It shows how a small number of powerful governments and corporations—amid digitalization, deglobalization, and demographic shifts—dominate global health, and how we can re-engineer a better future for it both societally and technologically. The book spans health breakthroughs in federated data architectures, machine learning, deep learning, swarm learning, quantum computing, blockchain, agile data governance and solidarity, value blocks (of democracies and autocracies), adaptive value supply chains, social networks, pandemics, health financing, universal health coverage, public–private partnerships, healthcare system design, precision agriculture, clean energy, human security, and multicultural global ethics. This book therefore is meant to provide a clear, coherent, and actionable guide equipping students, practitioners, researchers, policymakers, and leaders in digital technology, public health, healthcare, health policy, public policy, political economics, and ethics to generate the solutions that will define humanity’s next era—while recovering what that humanity means, and why it is worth saving.

  • Introduction to Condensed Matter Chemistry

    • 1st Edition
    • Jihong Yu + 2 more
    • English
    Introduction to Condensed Matter Chemistry offers a general view of chemistry from the perspective of condensed matter chemistry, analyzing and contrasting chemical reactions in a more realistic setting than traditional thinking. Readers will also find discussions on the goals and major scientific questions in condensed matter chemistry and the molecular engineering of functional condensed matter. Processes and products of chemical reactions should not be determined solely by the structure and composition of these basic species but also by the complex and possibly multilevel structured physical and chemical environment, together referred to as their condensed state.Relevant matters in condensed state should be the main bodies of chemical reactions, which is applicable not only to solids and liquids but also to gas molecules as reactions among gas molecules can take place only in the presence of catalysts in specific condensed states or after their state transition under extreme reaction conditions. This book provides new insights on the liquid state chemistry, definitions, aspects, and interactions, summarizing fundamentals of main chemical reactions from a new perspective.

  • Smart Biomimetic Coatings

    Design, Properties, and Biomedical Applications
    • 1st Edition
    • Jeenat Aslam + 3 more
    • English
    Smart Biomimetic Coatings: Design, Properties and Biomedical Applications summarizes vital research in multifunctional (i.e., anti-corrosion, anti-fouling, and self-cleaning properties) surface coatings in various applications such as orthopedic and dental implants, tissue engineering, sensors and more. The book introduces biomimetic coatings, aiding understanding of highly complicated architectures in natural composites, along with discussions on the importance of proper mimicking to achieve composite materials with exceptional performance. The synthesis and unique properties of smart biomimetic coatings are detailed before a wide selection of biomedical applications is explored.This is an important reference of interest to researchers and R&D groups working in materials science, biomedical engineering, tissue engineering, and implant design.

  • Advances in Atomic, Molecular, and Optical Physics

    • 1st Edition
    • Volume 73
    • English
    The Advances series highlights recent developments in atomic, molecular and optical physics. Readers can learn about recent advances from articles that are comprehensive in nature. These articles often contain background material and extensive references; as such they can serve as useful source material for many years to come.

  • Cognitive Science, Computational Intelligence, and Data Analytics

    Methods and Applications with Python
    • 1st Edition
    • Vikas Khare + 2 more
    • English
    Cognitive Science, Computational Intelligence, and Data Analytics: Methods and Applications with Python introduces readers to the foundational concepts of data analysis, cognitive science, and computational intelligence, including AI and Machine Learning. The book's focus is on fundamental ideas, procedures, and computational intelligence tools that can be applied to a wide range of data analysis approaches, with applications that include mathematical programming, evolutionary simulation, machine learning, and logic-based models. It offers readers the fundamental and practical aspects of cognitive science and data analysis, exploring data analytics in terms of description, evolution, and applicability in real-life problems.The authors cover the history and evolution of cognitive analytics, methodological concerns in philosophy, syntax and semantics, understanding of generative linguistics, theory of memory and processing theory, structured and unstructured data, qualitative and quantitative data, measurement of variables, nominal, ordinals, intervals, and ratio scale data. The content in this book is tailored to the reader's needs in terms of both type and fundamentals, including coverage of multivariate analysis, CRISP methodology and SEMMA methodology. Each chapter provides practical, hands-on learning with real-world applications, including case studies and Python programs related to the key concepts being presented.

  • Handbook of Thermosetting Foams, Aerogels, and Hydrogels

    From Fundamentals to Advanced Applications
    • 1st Edition
    • Prasanth Raghavan + 3 more
    • English
    Handbook of Thermosetting Foams, Aerogels, and Hydrogels: From Fundamentals to Advanced Applications presents the latest knowledge on the preparation, characterization, properties, and applications of thermoset foams, aerogels, and hydrogels.This book begins by introducing thermoset foams, aerogels, and hydrogels, their characteristics, current applications, potential for further development, and environmental impact. This is followed by three sections, each focusing on foams, aerogels, and hydrogels developed from a specifi c thermosetting polymer category, covering polyurethane, epoxy resins, and formaldehyde. In each section, detailed coverage guides the reader through the preparation, structure, characterization, properties, processing, and applications of foams, aerogels, and hydrogels based on that material, as well as addressing key challenges in terms of design, processing, and implementation, and possible solutions.This is a valuable resource for researchers and advanced students with an interest in thermoset lightweight materials, across the disciplines of polymer science, chemistry, nanotechnology, materials science, and engineering. This is also of interest to R&D professionals, engineers, and scientists working with foams, hydrogels, and aerogels for a range of applications and industries.

  • Hydraulic fracture geometry characterization based on distributed fiber optic strain measurements

    Modeling and Field Data for Unconventional and Geothermal Wells
    • 1st Edition
    • Kan Wu + 3 more
    • English
    Distributed fiber optic strain measurements, revolutionizing subsurface monitoring and hydraulic fracture characterization, offers a resource for geophysicists, reservoir engineers, and completion engineers. This cutting-edge technology leads the way in innovation with its ability to detect rock deformation and changes in strain along optical fibers, providing exceptional spatial resolution and measurement sensitivity. Its applications are broad and impactful, ranging from monitoring subsurface carbon storage and enhancing geothermal systems to advancing unconventional reservoir development. Despite the technology's advancements, accurately interpreting data of strain measurement from the hydraulic fracturing process poses a significant challenge due to the complex conditions in the subsurface. This book presents a comprehensive approach for analyzing strain responses from both horizontal and vertical monitoring wells to quantify hydraulic fracture propagation and the evolution of fracture geometry. The development of a forward geomechanics model significantly enhance the understanding of the field data. The introduction of a groundbreaking inversion model allows for in-depth data analysis and maximizes the dataset's value. Moreover, this book applies its findings through two field studies in unconventional reservoirs, illustrating the practical application of the technology. These case studies highlight effective field data interpretation and the critical insights that can be obtained. This book aims to elucidate data interpretation and analysis of complex subsurface measurements related to hydraulic fracture propagation, providing engineers with a novel perspective on subsurface exploration.

  • Towards Neuromorphic Machine Intelligence

    Spike-Based Representation, Learning, and Applications
    • 1st Edition
    • Hong Qu + 2 more
    • English
    Towards Neuromorphic Machine Intelligence: Spike-Based Representation, Learning, and Applications provides readers with in-depth understanding of Spiking Neural Networks (SNNs), which is a burgeoning research branch of Artificial Neural Networks (ANNs), AI, and Machine Learning that sits at the heart of the integration between Computer Science and Neural Engineering. In recent years, neural networks have re-emerged in relation to AI, representing a well-grounded paradigm rooted in disciplines from physics and psychology to information science and engineering.This book represents one of the established cross-over areas where neurophysiology, cognition, and neural engineering coincide with the development of new Machine Learning and AI paradigms. There are many excellent theoretical achievements in neuron models, learning algorithms, network architecture, and so on. But these achievements are numerous and scattered, with a lack of straightforward systematic integration, making it difficult for researchers to assimilate and apply. As the third generation of Artificial Neural Networks (ANNs), Spiking Neural Networks (SNNs) simulate the neuron dynamics and information transmission in a biological neural system in more detail, which is a cross-product of computer science and neuroscience. The primary target audience of this book is divided into two categories: artificial intelligence researchers who know nothing about SNNs, and researchers who know a lot about SNNs. The former needs to acquire fundamental knowledge of SNNs, but the challenge is that much of the existing literature on SNNs only slightly mentions the basic knowledge of SNNs, or is too superficial, and this book gives a systematic explanation from scratch. The latter needs learning about some novel research achievements in the field of SNNs, and this book introduces the latest research results on different aspects of SNNs and provides detailed simulation processes to facilitate readers' replication. In addition, the book introduces neuromorphic hardware architecture as a further extension of the SNN system.The book starts with the birth and development of SNNs, and then introduces the main research hotspots, including spiking neuron models, learning algorithms, network architectures, and neuromorphic hardware. Therefore, the book provides readers with easy access to both the foundational concepts and recent research findings in SNNs.

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