Search results for ""Author Kishor Kumar Sadasivuni""
Royal Society of Chemistry 2D Nanomaterials for CO2 Conversion into Chemicals and Fuels
Since the discovery of graphene, two-dimensional nanomaterials including Transition metal dichalcogenides (TMDCs), Hexagonal Boron Nitride (hBN), non-layered compounds, black phosphorous, and Xenes with large lateral dimensions, have emerged as promising candidates for heterogenous electrocatalysis owing to their exceptional physical, chemical, and electronic properties. The tremendous opportunities of using 2D nanomaterials in electrochemical CO2 reduction arises from their unique properties and vast number of applications. Covering the fundamentals, properties, and applications, all aspects of 2D nanomaterial composites within carbon dioxide conversion are discussed. The industrial scale-up and new challenges that exist in the field of electrochemical reduction of carbon dioxide will also be presented. With chapters written by internationally recognized researchers, this state-of-the-art overview will serve the growing interest amongst academic and industrial researchers in understanding 2D nanomaterials composites, their hidden interfaces and nanoscale dispersion of the metal oxide with nanocomposites for specific uses in carbon dioxide conversion to chemicals for fuel applications. This book will be of interest to graduate students and researchers in materials science, energy, and environmental science, as well as those in industry.
£169.00
Wiley-VCH Verlag GmbH Nanotechnology-Based Additive Manufacturing: Product Design, Properties, and Applications
Nanotechnology-Based Additive Manufacturing State-of-the-art overview of additive manufacturing techniques with an emphasis on processes, product designs and applications This book offers a thorough overview of additive manufacturing technologies, including manufacturing requirements, product design, optimization of processes and product parameters to reduce manufacturing costs. It provides a comprehensive and state-of-the-art review on various additive manufacturing technologies, their advantages, shortcomings, potential applications and future directions. Sample topics discussed by the three well-qualified editors on the topic of additive manufacturing include: Areas of application in the fields of electronics, aerospace, construction, automobile, sports and biomedicine Material considerations, the requirement of specific design, fabrication and processing methods Advantages and disadvantages of various 3D printing techniques for the respectively intended applications This book is an immensely valuable resource for researchers working in the field of additive manufacturing or 3D printing, or for developers dealing with the processing and manufacturing of materials and products for advanced technologies.
£211.50
Springer Nature Switzerland AG Shape Memory Composites Based on Polymers and Metals for 4D Printing: Processes, Applications and Challenges
Shape Memory Composites Based on Polymers and Metals for 4D Printing is a thorough discussion of the physics and chemistry behind this developing area of materials science. It provides readers with a clear exposition of shape-memory-composite (SMC) preparation techniques for 3D and 4D printing processes and explains how intelligent manufacturing technology may be applied in fields such as robotics, construction, medical science, and smart sensors. The book covers fundamental background knowledge on the synthesis of shape memory polymers (SMPs) and shape memory alloys (SMAs), and additive manufacturing techniques. Polymers and metals and their roles in 4D printing are dealt with separately, and applications of 4D printing are treated in their own chapter. The different alloy compositions and nanoparticle fillers in polymer composites are examined in detail, along with the key mechanisms involved in their processing. Hybrid nanofillers and synergistic composite mixtures, which are either in extensive current use or have shown promising outcomes in the field of 4D printing, are thoroughly discussed. Differences between these novel SMCs and traditional metal alloys, organic and inorganic composites are presented, and means by which they can improve mechanical properties that are triggered by external sources like magnetic field, temperature, and pH of solvent, are set out. This book provides practitioners, industrial researchers, and scholars with a state-of-the-art overview of SMP/SMA synthesis, additive manufacturing, modification in synthesis of SMCs for 4D printing, and their likely future applications.
£139.99
John Wiley & Sons Inc Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning, and Artificial Intelligence Based Methods
PREDICTING HEART FAILURE Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning and Artificial Intelligence Based Methods focuses on the mechanics and symptoms of heart failure and various approaches, including conventional and modern techniques to diagnose it. This book also provides a comprehensive but concise guide to all modern cardiological practice, emphasizing practical clinical management in many different contexts. Predicting Heart Failure supplies readers with trustworthy insights into all aspects of heart failure, including essential background information on clinical practice guidelines, in-depth, peer-reviewed articles, and broad coverage of this fast-moving field. Readers will also find: Discussion of the main characteristics of cardiovascular biosensors, along with their open issues for development and application Summary of the difficulties of wireless sensor communication and power transfer, and the utility of artificial intelligence in cardiology Coverage of data mining classification techniques, applied machine learning and advanced methods for estimating HF severity and diagnosing and predicting heart failure Discussion of the risks and issues associated with the remote monitoring system Assessment of the potential applications and future of implantable and wearable devices in heart failure prediction and detection Artificial intelligence in mobile monitoring technologies to provide clinicians with improved treatment options, ultimately easing access to healthcare by all patient populations. Providing the latest research data for the diagnosis and treatment of heart failure, Predicting Heart Failure: Invasive, Non-Invasive, Machine Learning and Artificial Intelligence Based Methods is an excellent resource for nurses, nurse practitioners, physician assistants, medical students, and general practitioners to gain a better understanding of bedside cardiology.
£142.95