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The study of corrosion-resistant coatings using nanostructured materials is developing and growing at a very rapid rate. Carbon Allotropes: Advanced Anticorrosive Coatings Materials summarizes current research and technology on the significance of carbon allotropes in anticorrosive coatings. The book describes the synthesis, characterization, inhibitory mechanism, and industrial applications of carbon allotropes as a corrosion-resistant coating. The usage of carbon allotropes as nanostructure materials based on corrosion-resistant coatings used in contemporary industrial platforms is discussed in this book. Additionally, this book assesses the potential of carbon allotropes as the foundation...
Experimental Mechanics of Composite, Hybrid, and Multifunctional Materials: Proceedings of the 2013 Annual Conference on Experimental and Applied Mechanics, the sixth volume of eight from the Conference, brings together contributions to this important area of research and engineering. The collection presents early findings and case studies on a wide range of areas, including: Characterization of Energy Storage Materials Microvascular & Natural Composites Nanocomposites for Multifunctional Performance Composite/Hybrid Characterization Using Digital Image Correlation Failure Behavior of Polymer Matrix Composites Non-Destructive Testing of Composites Composite Test Methods Joints/Bonded Composites
A guide to cloud computing for students, scientists, and engineers, with advice and many hands-on examples. The emergence of powerful, always-on cloud utilities has transformed how consumers interact with information technology, enabling video streaming, intelligent personal assistants, and the sharing of content. Businesses, too, have benefited from the cloud, outsourcing much of their information technology to cloud services. Science, however, has not fully exploited the advantages of the cloud. Could scientific discovery be accelerated if mundane chores were automated and outsourced to the cloud? Leading computer scientists Ian Foster and Dennis Gannon argue that it can, and in this book ...
Big Data has been much in the news in recent years, and the advantages conferred by the collection and analysis of large datasets in fields such as marketing, medicine and finance have led to claims that almost any real world problem could be solved if sufficient data were available. This is of course a very simplistic view, and the usefulness of collecting, processing and storing large datasets must always be seen in terms of the communication, processing and storage capabilities of the computing platforms available. This book presents papers from the International Research Workshop, Advanced High Performance Computing Systems, held in Cetraro, Italy, in July 2014. The papers selected for p...
· Provides a holistic and practical guide to autonomous experimentation · Combines insights from theorists, machine-learning engineers and applied scientists to dispel common myths and misconceptions surrounding autonomous experimentation. · Incorporates practitioners’ first-hand experience
This book provides a comprehensive and practical guide to environmental engineering, covering a wide range of computational tools, modeling approaches, and data analysis methods. It explores various computational modeling techniques, including mathematical models, numerical methods, and computer simulations, for modeling environmental systems and processes. Key Features: Presents case studies and examples of successful applications of computational approaches in addressing various environmental engineering challenges. Focuses on the practical application of computational approaches and showcasing successful examples. Aims to develop problem-solving skills for environmental engineers using computational methods. Discusses computational approaches for environmental impacts, designs, and decisions. Provides real-world examples of computational approaches to environmental problems. This book is aimed at graduate students and researchers in environmental and civil engineering, and related computational and modeling studies.
Mathematical models power the modern world; they allow us to design safe buildings, investigate changes to the climate, and study the transmission of diseases through a population. However, all models are uncertain: building contractors deviate from the planned design, humans impact the climate unpredictably, and diseases mutate and change. Modern advances in mathematics and statistics provide us with techniques to understand and quantify these sources of uncertainty, allowing us to predict and design with confidence. This book presents a comprehensive treatment of uncertainty: its conceptual nature, techniques to quantify uncertainty, and numerous examples to illustrate sound approaches. Several case studies are discussed in detail to demonstrate an end-to-end treatment of scientific modeling under uncertainty, including framing the problem, building and assessing a model, and answering meaningful questions. The book illustrates a computational approach with the Python package Grama, presenting fully reproducible examples that students and practitioners can quickly adapt to their own problems.
We are delighted to present the 2022 Women in Chemistry article collection. Following the celebration of International Women’s Day 2022, the UNESCO International Day of Women and Girls in Science, Frontiers in Chemistry is proud to offer this platform to promote the work of women scientists, across all branches of Chemistry. At present, less than 30% of researchers worldwide are women. Long-standing biases and gender stereotypes are discouraging girls and women away from science-related fields, and STEM research in particular. Chemistry is no exception to this. Science and gender equality are, however, essential to ensure sustainable development as highlighted by UNESCO. In order to change traditional mindsets, gender equality must be promoted, stereotypes defeated, and girls and women should be encouraged to pursue STEM careers.