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Books in Physical sciences and engineering

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    • Introduction to Condensed Matter Chemistry

      • 1st Edition
      • June 6, 2024
      • Jihong Yu + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 6 1 4 0 7
      • eBook
        9 7 8 0 4 4 3 1 6 1 4 1 4
      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

      • 1st Edition
      • June 6, 2024
      • Jeenat Aslam + 3 more
      • English
      • Paperback
        9 7 8 0 4 4 3 2 1 7 3 8 8
      • eBook
        9 7 8 0 4 4 3 2 1 7 3 9 5
      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
      • June 6, 2024
      • English
      • Hardback
        9 7 8 0 4 4 3 3 1 4 5 8 2
      • eBook
        9 7 8 0 4 4 3 3 1 4 5 9 9
      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

      • 1st Edition
      • June 6, 2024
      • Vikas Khare + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 6 0 7 8 3
      • eBook
        9 7 8 0 4 4 3 1 6 0 7 9 0
      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

      • 1st Edition
      • June 5, 2024
      • Prasanth Raghavan + 3 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 9 4 5 2 1
      • eBook
        9 7 8 0 3 2 3 9 9 4 5 3 8
      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.

    • Clay Science in Drilling and Drilling Fluids

      • 1st Edition
      • Volume 11
      • June 5, 2024
      • Guanzheng Zhuang + 1 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 5 5 9 8 7
      • eBook
        9 7 8 0 4 4 3 1 5 5 9 9 4
      Clay Science in Drilling and Drilling Fluids starts from the fundamentals of clay science and drilling and then comprehensively presents the advances of clay science related to drilling, drilling fluids, and clay products. The topics combine to present the whole picture of fundamental research and industrial applications of clays and clay minerals in drilling operations, which is of general interest to researchers and engineers working in related fields. This book covers the different levels of clay science in drilling and drilling fluids, i.e., from fundamentals to the latest research results, applications, and commercial products.Oil and gas are the primary sources of energy in human society and the foundation of the petrochemical industry. However, extracting these resources present a number of drilling challenges, including high temperature and high pressure (HTHP), offshore drilling, high angle drilling, and even horizontal drilling, among others. As a result, it is crucial to develop advanced drilling and drilling fluid technologies that speak to these challenges.

    • Towards Neuromorphic Machine Intelligence

      • 1st Edition
      • June 5, 2024
      • Hong Qu + 2 more
      • English
      • Paperback
        9 7 8 0 4 4 3 3 2 8 2 0 6
      • eBook
        9 7 8 0 4 4 3 3 2 8 2 1 3
      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.

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

      • 1st Edition
      • June 5, 2024
      • Kan Wu + 3 more
      • English
      • Paperback
        9 7 8 0 3 2 3 9 5 3 6 2 7
      • eBook
        9 7 8 0 3 2 3 9 5 3 6 1 0
      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.

    • Functionalized Nanomaterials for Biosensing and Bioelectronics Applications

      • 1st Edition
      • June 4, 2024
      • Sudheesh K. Shukla + 3 more
      • English
      • Paperback
        9 7 8 0 1 2 8 2 3 8 2 9 5
      • eBook
        9 7 8 0 1 2 8 2 3 8 4 3 1
      Functionalized Nanomaterials for Biosensing and Bioelectronics Applications: Trends and Challenges describes current and future opportunities for integrating the unique properties of two-dimensional nanomaterials with bioelectronic interfaces. Sections focus on background information and fundamental concepts, review the available functionalized nanomaterials and their properties, explore the integration of functionalized nanomaterials with bioelectronics, including available fabrication and characterization methods, electrical behavior at the interface, and design and synthesis guidelines, and review examples of microsystems where functionalized nanomaterials are being integrated with bioelectronics. This book is suitable for researchers and practitioners in academia and R&D working in materials science and engineering, analytical chemistry, and related fields.

    • Nanotechnology to Monitor, Remedy, and Prevent Pollution

      • 1st Edition
      • June 4, 2024
      • Muhammad Bilal + 4 more
      • English
      • Paperback
        9 7 8 0 4 4 3 1 5 6 6 0 1
      • eBook
        9 7 8 0 4 4 3 1 5 6 6 1 8
      For decades an increasingly rapid urbanization pace, modern industrial development, and constantly intensive agricultural practices have caused controlled or uncontrolled release of hazardous contaminants that seriously threaten our environment. All natural spheres (atmosphere, hydrosphere, biosphere, lithosphere, and anthroposphere) seem to have been exposed to harmful practices and emerging research in nanomaterials is now trying to combat their adverse impact on physical ecosystems and organisms, as well as human health. In this context, pollution remediation at the nanoscale has come to the forefront for its potential to unlock sustainable, highly efficient, and cost-effective technologies, capable to restore in situ or ex situ land, water, and air resources. Nanotechnology to Monitor, Remedy, and Prevent Pollution covers design, fabrication, and extensive applications of engineered nanostructured materials in various shapes and morphologies (such as nanoparticles, wires, tubes, fibres) that, because of their size, surface-to-volume ratio, and high reactivity, function as catalysts and adsorbents of organic pollutants (aliphatic and aromatic hydrocarbons), gases, chemicals (arsenic, manganese, iron, nitrate, heavy metals), antibiotics, and biological entities (bacteria, viruses, parasites). Their integration with biotechnological processes for monitoring and prevention of pollution is also explored alongside the invisible dangers caused by noise. This is a valuable book for academics, researchers, undergraduate and postgraduate students working on environmental engineering for sustainability, environmental sciences, biotechnology, and nanotechnology. 

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