Artificial intelligence in Biomaterials Design and Development explores the importance of artificial intelligence, especially machine learning methods, in the development of new biomaterials. Challenges in biomaterials development, such as chemical waste, space and lack of appropriate tools have impeded the rapid design and synthesis of versatile biomaterials. Machine learning enhances the discovery and development process, increasing throughput and reducing time, costs, and wastage. Novel generative models can generate novel molecular structures with desired properties, which make inverse materials design more feasible.Artificial intelligence in Biomaterials Design and Development offers a much-needed exploration of how AI and machine learning can be utilized for rapid and accurate development of novel biomaterials. This book will be of interest to academics and researchers working in the fields of materials science, machine/deep learning, computational engineering, biomedical engineering, and data science.
Smart Halloysite Nanotubes: Fundamentals and Applications takes its users on a journey that starts with a fundamental understanding and leads through the presentation of current research results to the latest developments and possibilities of applied use. An interesting discussion on commercialization strategies for the material concludes the 4-part manuscript, which is also complemented by an ancillary graphical abstract. Written by expert authors, the book is an essential reference for students and professional scientists or engineers in equal measure. Due to their distinctive characteristics, HNTs have garnered more and more attention by the scientific community in both academia and industry in recent years.
One- and Two- Dimensional Nanomaterials: Bioengineering Applications covers in-depth information on the properties, structures, and preparation methods of one- and two- dimensional nanomaterials, providing readers with tools that can be immediately implemented and adapted to fit a diverse range of applications.The first part of the book covers the fundamentals of these materials, including properties and synthesis techniques. The second part of the book focuses on the use of several conventional and emerging nanomaterials in the areas of pollution management, remediation practices, and other possible applications in biosensing, biomedicine, and antimicrobial activity.This book will be a helpful resource to nano-scientists, biotechnologists, and bioengineers engaged in studying the emerging trends and different fabrication techniques of nanostructures and their applications and possible toxicity.
An Introduction to Discrete Mathematics offers an engaging and accessible introduction to discrete mathematics for beginning undergraduate students across a wide range of application areas, from mathematics to statistics, operations research, business, engineering, and the sciences. It provides solid foundation in precise proof writing methods, with early chapters introducing set theory and logic that are followed by deductive and inductive proof techniques, number theory, counting principles, permutations and combinations, probability of events, random variables, graphs, and weighted graphs.The book illustrates fundamental concepts in discrete mathematics with clear and precise definitions that are paired with examples and counter-examples as applied in combinatorics, discrete probability, and graph theory. Chapters include student exercises to enhance learning, and a solutions manual and example questions are available for instructors on a companion website.
Electric and Electronic Applications of Metal Oxides provides a comprehensive guide to the use of metal oxides in a variety of electronic and electric applications. The book delivers a thorough understanding of the fundamental properties of metal oxides and their use across a wide range of electronic devices, including Schottky diodes, p–n diodes, thin-film transistors, field effect transistors, Mott-transition field effect transistors, varistors, high-K dielectric capacitors, devices with electron emission, cold cathodes, microelectronic technology, high-power and high-temperature electronics, transparent and flexible electronics, resistive switching memory, spintronics, magnetic memory, and piezoelectric devices.In addition, the book covers the latest advances and offers a glimpse of future prospects and challenges in the field. The book is a valuable resource for researchers, graduate students, and professionals working in the field of materials science, chemistry, physics, and engineering.
Energy Efficiency in Critical Times: Security, Economics, and Transition provides a holistic perspective on energy policy analysis and development from a global context, covering economic, security, and technological aspects. Sections focus on economic policy for energy systems, consider the impacts of policy for technological system advancement, such as vehicle electrification and renewable energy integration, demonstrate techniques for analysis of major events, including the huge ramifications of the COVID-19 pandemic and Russia’s 2022 invasion of Ukraine, and focus on energy trading across borders.Including cutting-edge analyses of recent crises and close assessment of needs specific to lower-income countries, this book provides researchers, policymakers, and students with an essential guide to energy policy for a secure and sustainable future.
Engineered Polyvinyl Pyrrolidone Products by Microwave Techniques: Processing, Characterization, and Applications is a comprehensive reference on the customization of the physical, chemical, and mechanical properties of polyvinyl pyrrolidone (PVP) through derivatization. It highlights successful modifications achieved with microwave techniques and focuses on the unique advantages of microwave radiation in polymerization, ensuring high reproducibility and consistency without altering the polymer's structure. The book explores the wide-ranging applications of these specialized plastics in fields such as agriculture, medicine, and everyday consumer products, making it a valuable resource for practical use. Additionally, it discusses the scaling up of the synthesis process using microwave energy, presenting a compelling case for commercial production of these materials. This book is a valuable reference for those seeking to better understand the potential of engineered polymeric materials for a variety of applications.
As pursuit of the Sustainable Development Goals (SDGs) becomes central to our global mission, there is a growing imperative to understand, measure, and guide actions using data-driven insights. The SDGs encompass a broad spectrum of global challenges, from eradicating poverty and hunger to preserving the environment and fostering peace. To address these issues effectively, one should be able to measure and analyze progress. Data Driven Insights and Analytics for Measurable Sustainable Development Goals bridges the gap between qualitative and quantitative assessments, recognizing that the SDGs are not solely about numbers but also encompass complex social, environmental, and economic dynamics. By merging data science with qualitative analysis, readers can explore how the 5 Parts of SDGs intersect and influence each other, providing a holistic perspective on sustainable development. The book provides readers with an understanding of how to effectively leverage data science models and algorithms using descriptive analytics, allowing us to assess the current state of SDG performance, and thus offering valuable insights into where we stand on these critical goals. In addition, to make informed decisions and drive the SDGs forward, readers need more than just an understanding of the current situation. The book demonstrates the need for prescriptive analytics, a methodology that guides actions. Prescriptive analytics provides actionable recommendations based on data analysis, helping readers to identify specific interventions and policies that can accelerate progress. Furthermore, predictive analytics is vital in anticipating future trends and challenges. By showing how readers can forecast potential obstacles and opportunities, the book presents tools for taking proactive measures to navigate our path toward the SDGs effectively. By offering a data-driven approach, the book ensures that every action taken is based on sound analysis, making a tangible difference in building a better and safer world for all.
Python Fast Track: A Complete Guide to Rapidly Mastering and Applying Python Programming adopts a simplified writing style and provides clear explanations to ensure ease of understanding, making it an ideal resource for those new to Python. Starting with the basics, the book covers fundamental concepts such as variables, data types, printing and prompting, lists, dictionaries, tuples, control structure, functions, and object-oriented concepts. The book includes everything you need to understand and apply more advanced programming techniques such as file handling, exception handling, and regex.This great resource is created especially for those who want to apply Python for their research and professional work in scientific computing, data analysis and machine learning, including chapters on NumPy and Pandas, two of the most popular Python application libraries. It demonstrates how to effectively master key applications of Python such as web development, software creation, task automation, and data analysis. The book covers data analysis and machine learning tasks that greatly benefit from Python, thanks to libraries such as TensorFlow and Keras that enable efficient coding.
Theoretical Foundations of Multiscale Modelling aims to address thermodynamical and statistical mechanical foundations of methods commonly employed, highlighting the potential and limitations of each approach. Starting with an overview of the basics of statistical mechanics, the book's chapters illustrate the general theory of molecular modelling, the concepts and methods for the study of complex molecular systems, key strategies employed to perform computational calculations and simulations, recent, cutting-edge tools of the trade, and a selection of case studies that highlight multi-scale modeling, multiple-resolution simulation methods, and machine-learning applications.Drawing on the experience of its expert authors, this book is an insightful guide for all those learning, applying or interested in exploring multiscale modelling methods for their own work. Multiscale modelling approaches can provide valuable insights to researchers across a broad range of fields, but the interdisciplinary applicability of these approaches means both new learners and experienced researchers may not have a clear understanding of the theoretical and computational fundamentals underpinning these methods.