The development, storage and comprehensive utilization of energy is an important subject concerned by scientists all over the world. Carbon capture and storage technology is one of the most effective mitigation technologies for global climate change, accurate understanding of the migration of multiphase fluids in reservoirs is crucial for reservoir stock evaluation and safety evaluation. Understanding Carbon Geologic Sequestration and Gas Hydrate from Molecular Simulation systematically introduces CO2 geological sequestration and gas hydrate at the molecular-scale, with research including interfacial properties of multiphase, multicomponent systems, hydrogen bonding properties, adsorption characteristics of CO2 / CH4 in the pore, kinetic properties of decomposition/nucleation/growth of gas hydrate, the influence of additives on gas hydrate growth dynamics, and hydrate prevention and control technology. This book focuses on research-based achievements and provides a comprehensive look at global progress in the field. Because there are limited resources available on carbon geologic sequestration technology and gas hydrate technology at the molecular level, the authors wrote this book to fill a gap in scientific literature and prompt further research. - Distills learnings for fundamental and advanced knowledge of molecular simulation in carbon dioxide and gas hydrate storage - Synthesizes knowledge about the development status of CGS technology and hydrate technology in the molecular field – tackling these technologies from a microscopic perspective - Analyzes scientific problems related to CGS technology and hydrate technology based on molecular simulation methods - Explores challenges relative to carbon dioxide and hydrate storage - Provides hierarchical analysis combined with the authors' own research-based case studies for enhanced comprehension and application
This book not only explores catalysis processes in redox reactions but also proposes a potential after-treatment strategy. Summarizing the authors’ major works, it offers a guidebook for those working on environmental and industrial catalysis. It presents insights into reaction kinetics in a variety of materials and analyzes the external conditions influencing the reaction. As such it is of particular interest to engineers and scientists in the field of material chemistry, chemical engineering and automobile industry. With novel images and illustrations, it provides a new perspective for interpreting soot abatement material and understanding the reaction process and inspires scientists to design new catalysts with moderate redox capacity.
This book systematically summarises the state-of-the-art research in the field of single-layer brazed cubic boron nitride (CBN) abrasive tools in terms of manufacturing technology, wear mechanisms and machining performance. The authors present manufacturing methods and related principles, and explore the wear behaviour and mechanisms of single-layer brazed CBN abrasive tools, providing insights into tool manufacturing and tool life. They also clarify the scientific issues in the grinding performance of single-layer brazed CBN abrasive tools to improve machining efficiency and quality. The book will contribute to the development of aerospace engineering and inspire academic researchers and industrial engineers in the field of ultra-high precision machining, especially grinding.
This book presents the latest findings in the field of brain-inspired intelligence and visual perception (BIVP), and discusses novel research assumptions, including an introduction to brain science and the brain vision hypotheses. Moreover, it introduces readers to the theory and algorithms of BIVP – such as pheromone accumulation and iteration, neural cognitive computing mechanisms, the integration and scheduling of core modules, and brain-inspired perception, motion and control – in a step-by-step manner. Accordingly, it will appeal to university researchers, R&D engineers, undergraduate and graduate students; to anyone interested in robots, brain cognition or computer vision; and to all those wishing to learn about the core theory, principles, methods, algorithms, and applications of BIVP.
This book seeks to interpret connections between the machine brain, mind and vision in an alternative way and promote future research into the Interdisciplinary Evolution of Machine Brain (IEMB). It gathers novel research on IEMB, and offers readers a step-by-step introduction to the theory and algorithms involved, including data-driven approaches in machine learning, monitoring and understanding visual environments, using process-based perception to expand insights, mechanical manufacturing for remote sensing, reconciled connections between the machine brain, mind and vision, and the interdisciplinary evolution of machine intelligence. This book is intended for researchers, graduate students and engineers in the fields of robotics, Artificial Intelligence and brain science, as well as anyone who wishes to learn the core theory, principles, methods, algorithms, and applications of IEMB.
This book seeks to interpret connections between the machine brain, mind and vision in an alternative way and promote future research into the Interdisciplinary Evolution of Machine Brain (IEMB). It gathers novel research on IEMB, and offers readers a step-by-step introduction to the theory and algorithms involved, including data-driven approaches in machine learning, monitoring and understanding visual environments, using process-based perception to expand insights, mechanical manufacturing for remote sensing, reconciled connections between the machine brain, mind and vision, and the interdisciplinary evolution of machine intelligence. This book is intended for researchers, graduate students and engineers in the fields of robotics, Artificial Intelligence and brain science, as well as anyone who wishes to learn the core theory, principles, methods, algorithms, and applications of IEMB.
This book presents the latest findings in the field of brain-inspired intelligence and visual perception (BIVP), and discusses novel research assumptions, including an introduction to brain science and the brain vision hypotheses. Moreover, it introduces readers to the theory and algorithms of BIVP – such as pheromone accumulation and iteration, neural cognitive computing mechanisms, the integration and scheduling of core modules, and brain-inspired perception, motion and control – in a step-by-step manner. Accordingly, it will appeal to university researchers, R&D engineers, undergraduate and graduate students; to anyone interested in robots, brain cognition or computer vision; and to all those wishing to learn about the core theory, principles, methods, algorithms, and applications of BIVP.
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