Severe accidents in Sodium Fast Reactors: Safety Study Approach, Prevention and Mitigation by Design is a unique presentation of research work from the Sodium Fast Reactor Severe Accident team at CEA. Focusing on in-core and out-core severe accident phenomena, this book analyzes severe accident scenarios and mitigation, related calculations and tools, and key outcomes from important experimental programs. The book describes the state-of-the-art on severe accident research which will help to inform and direct further pre-conceptual Generation IV SFRs. Lessons learned from the pre-conceptual phase of the French ASTRID project are highlighted alongside different approaches to demonstrate robustness.To support the demonstration of concepts explored, a special section dedicated to calculation tools and their validation offers readers a unique set of tools to guide and inform their own research work. Readers will gain a deep understanding of methodologies to illustrate approaches as well as an overview of safety approaches from key countries based on the editor’s rich international collaboration.
Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience. This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and to further to study the behavioral dynamics and complexity of neural systems in nature. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including (i) the representation of sensory and motor information, (ii) electrical stimulation of the neuromuscular system to control muscle activation and movement, (iii) the analysis and visualization of complex neural systems at multiscale from the single cell to system levels to understand the underlying mechanisms, (iv) development of novel electronic and photonic devices and techniques for experimental probing, the neural simulation studies, (v) the design and development of human–machine interface systems and artificial vision sensors, and (vi) neural prosthesis to restore and enhance the impaired sensory and motor systems and functions. To highlight this emerging discipline, Dr. Ayman El-Baz and Dr. Jasjit Suri have developed Advances in Neural Engineering, covering the broad spectrum of neural engineering subfields and applications. This Series includes 7 volumes in the following order: Volume 1: Signal Processing Strategies, Volume 2: Brain-Computer Interfaces, Volume 3: Diagnostic Imaging Systems, Volume 4: Brain Pathologies and Disorders, Volume 5: Computing and Data Technologies, Volume 6: Advanced Brain Imaging Techniques and Volume 7: Neural Science Ethics. Volume 1 provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions.
Advances in Neural Engineering: Brain-Computer Interfaces, Volume Two covers the broad spectrum of neural engineering subfields and applications. The set provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. The book's authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions. The field of neural engineering deals with many aspects of basic and clinical problems associated with neural dysfunction, including sensory and motor information, stimulation of the neuromuscular system to control muscle activation and movement, analysis and visualization of complex neural systems, and more.
Frosting for Air Source Heat Pumps: Research, Case Studies, and Methods provides a comprehensive accounting of the latest research, analysis, and modeling methods for limiting frosting and maximizing efficiency. The book begins by outlining the fundamentals of frosting mechanisms, including the condensation and freezing of water droplets. It then provides a wide range of case studies that showcase a variety of surfaces, conditions, and energy generation technologies. Finally, the last chapters demonstrate modeling and analysis of frosting operation before laying out critical considerations for designing a frost control strategy in ASHPs.Building on the theory and studies contained in the author’s previous work Defrosting for Air Source Heat Pumps, this book provides essential and advanced information for understanding and controlling frosting for these sustainable energy sources.
Advances in Neural Engineering: Signal Processing Strategies, Volume One in a two volume-set covers the broad spectrum of neural engineering subfields and applications and provides a comprehensive review of dominant feature extraction methods and classification algorithms in the brain-computer interfaces for motor imagery tasks. In addition, the authors discuss existing challenges in the domain of motor imagery brain-computer interface and suggest possible research directions. Neural engineering is an emerging and fast-moving interdisciplinary research area that combines engineering with (a) electronic and photonic technologies, (b) computer science, (c) physics, (d) chemistry, (e) mathematics, and (f) cellular, molecular, cognitive, and behavioral neuroscience.This helps us understand the organizational principles and underlying mechanisms of the biology of neural systems and further study the behavioral dynamics and complexity of neural systems in nature.
Case Studies in Mathematical Modelling for Medical Devices: How Pulse Oximeters and Doppler Ultrasound Fetal Heart Rate Monitors Work focuses on two medical devices: pulse oximeters and Doppler ultrasound fetal heart rate monitors. The mathematical topics needed to explain their operation from first principles are introduced. These broadly cover the statistics of random processes and Fourier based signal processing. They are used to explain the devices’ operation from first principles to how clinically relevant information is extracted from the devices’ raw outputs. This book is intended to be of value for MSc and PhD students in biomedical engineering and clinicians, and others, interested in the mathematics behind the design of the instrumentation that they employ. It could also be used in an applied mathematics course by providing real-world examples.The book is for MSc and PhD students working in the area who want a quick, clear introduction to the topics, upper-division undergrads as part of biomedical engineering or applied math degree courses, biomedical engineers looking for a quick "refresher course" and clinicians interested in the operation of the instruments they use.
Thermochemical Conversion of Lignocellulosic Materials: Theory, Design, and Applications for the Future proposes a generalized methodology for the design and study of thermochemical conversion reactors independent of the feedstock used and the technology analyzed. Sections cover essential theory, including biomass thermochemical conversion, biomass supply chains, and thermochemical reactors. The book then examines other important aspects of the thermochemical conversion reaction, presenting modeling and analysis options. Finally, it investigates potential uses and applications for these techniques. Including clear objectives and practical exercises to cement understanding, this book will equip students and researchers with the skills to design and model selective reactors.
International Review of Movement Disorders series, highlights new advances in the field, with this new volume presenting interesting chapters. Each chapter is written by an international board of authors.
Nanomechanics for Coatings and Engineering Surfaces: Test Methods, Development Strategies, Modeling Approaches, and Applications provides readers with an array of best practices for nanoindentation measurements as well as related small-scale test methods and how to translate test results into the development of improved coatings. A core theme of the book is explaining to readers exactly how, when, and why the nanomechanical properties of engineered surfaces relate to their wear resistance.The book starts with chapters that introduce the development and importance of nanomechanical testing and linkages between wear resistance and the mechanical properties of coatings before moving into discussions of various experimental methods and techniques, such as nanoindentation, continuous stiffness measurements, nano-scratch methods, high-temperature testing, nano-impact testing, and more. Other sections discuss modeling approaches such as finite element analysis, atomistic and molecular dynamics, and analytical methods. Design strategies and industrial applications are covered next, with a final section looking at trends and future directions.
Nanostructured Lithium-ion Battery Materials: Synthesis and Applications provides a detailed overview of nanostructured materials for application in Li-ion batteries, supporting improvements in materials selection and battery performance. The book begins by presenting the fundamentals of Lithium-ion batteries, including electrochemistry and reaction mechanism, advantages and disadvantages of Li-ion batteries, and characterization methods. Subsequent sections provide in-depth coverage of a range of nanostructured materials as applied to cathodes, electrolytes, separators, and anodes. Finally, other key aspects are discussed, including industrial scale-up, safety, life cycle analysis, recycling, and future research trends.This is a valuable resource for researchers, faculty, and advanced students across nanotechnology, materials science, battery technology, energy storage, chemistry, applied physics, chemical engineering, and electrical engineering. In an industrial setting, this book will be of interest to scientists, engineers, and R&D professionals working with advanced materials for Li-ion batteries and other energy storage applications.