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Statistical Methods for Materials Science
Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection.
Graphene Field-Effect Transistors
Graphene Field-Effect Transistors In-depth resource on making and using graphene field effect transistors for point-of-care diagnostic devices Graphene Field-Effect Transistors focuses on the design, fabrication, characterization, and applications of graphene field effect transistors, summarizing the state-of-the-art in the field and putting forward new ideas regarding future research directions and potential applications. After a review of the unique electronic properties of graphene and the production of graphene and graphene oxide, the main part of the book is devoted to the fabrication of graphene field effect transistors and their sensing applications. Graphene Field-Effect Transistors ...
Synthesis of Novel Hydrogels with Unique Mechanical Properties
This eBook is a collection of articles from a Frontiers Research Topic. Frontiers Research Topics are very popular trademarks of the Frontiers Journals Series: they are collections of at least ten articles, all centered on a particular subject. With their unique mix of varied contributions from Original Research to Review Articles, Frontiers Research Topics unify the most influential researchers, the latest key findings and historical advances in a hot research area! Find out more on how to host your own Frontiers Research Topic or contribute to one as an author by contacting the Frontiers Editorial Office: frontiersin.org/about/contact.
Enzymes in the Valorization of Waste
Enzymes in the Valorization of Waste: Next-Gen Technological Advances for Sustainable Development of Enzyme-based Biorefinery focusses on key enzymes which are involved in the development of integrated biorefinery. It highlights the modern next-gen technologies for promoting the application of sustainable and greener enzymatic steps at industrial scale for the development of futuristic and self-sustainable "consolidated/integrated biorefinery/enzyme-based biorefinery." It also deals with technological advancement for improvement of enzyme yield or specificity, conversion capability, such as protein and metabolic engineering and advances in next generation technologies, and so forth. Features...
Surface Engineering of Graphene and Graphene Quantum Dots for Industrial and Medical Applications
This book explores the synthesis, characterization, and applications of graphene and its derivatives. It covers advancements in improving graphene quality, surface engineering methods, and increasing material functionality. The topics covered include functionalized graphene, graphene quantum dots, novel device fabrication approaches, and diverse applications. The book also investigates the fundamental principles of characterizing graphene and its derivatives, along with electronic structures, theoretical investigations, and computational analyses relevant to their applications, synthesis, and properties. The chapters are organized to cover these topics, starting with a general overview of surface chemistry and its concepts for surface engineering of graphene, the fundamental properties of graphene and its derivatives, their synthesis, and applications in numerous fields, and concludes with a future perspective. Significantly, for the first time, both industrial and medical applications are gathered in one book, enabling us to discuss the confrontation of medical and industrial applications of graphene and graphene quantum dots.
Molten Salts XIV
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Statistical Methods for Materials Science
Data analytics has become an integral part of materials science. This book provides the practical tools and fundamentals needed for researchers in materials science to understand how to analyze large datasets using statistical methods, especially inverse methods applied to microstructure characterization. It contains valuable guidance on essential topics such as denoising and data modeling. Additionally, the analysis and applications section addresses compressed sensing methods, stochastic models, extreme estimation, and approaches to pattern detection.
