Presenting the fundamentals, key multiscale methods, and case studies for computational design of engineering materials.

Nanostructured Materials Engineering and Characterization for Battery Applications is designed to help solve fundamental and applied problems in the field of energy storage. Broken up into four separate sections, the book begins with a discussion of the fundamental electrochemical concepts in the field of energy storage. Other sections look at battery materials engineering such as cathodes, electrolytes, separators and anodes and review various battery characterization methods and their applications. The book concludes with a review of the practical considerations and applications of batteries.This will be a valuable reference source for university professors, researchers, undergraduate and postgraduate students, as well as scientists working primarily in the field of materials science, applied chemistry, applied physics and nanotechnology. - Presents practical consideration for battery usage such as LCA, recycling and green batteries - Covers battery characterization techniques including electrochemical methods, microscopy, spectroscopy and X-ray methods - Explores battery models and computational materials design theories

This book is a collection of papers from The American Ceramic Society's 35th International Conference on Advanced Ceramics and Composites, held in Daytona Beach, Florida, January 23-28, 2011. This issue includes papers presented in the Thermal Management Materials and Technologies; Advanced Sensor Technology; Geopolymers; and Computational Design, Modeling, and Simulation of Ceramics and Composites symposia.

This work gives a comprehensive overview on materials, processes and technological challenges for electrochemical storage and conversion of energy. Optimization and development of electrochemical cells requires consideration of the cell as a whole, taking into account the complex interplay of all individual components. Considering the availability of resources, their environmental impact and requirements for recycling, the design of new concepts has to be based on the understanding of relevant processes at an atomic level.

This book covers the essentials of Computational Science and gives tools and techniques to solve materials science problems using molecular dynamics (MD) and first-principles methods. The new edition expands upon the density functional theory (DFT) and how the original DFT has advanced to a more accurate level by GGA+U and hybrid-functional methods. It offers 14 new worked examples in the LAMMPS, Quantum Espresso, VASP and MedeA-VASP programs, including computation of stress-strain behavior of Si-CNT composite, mean-squared displacement (MSD) of ZrO2-Y2O3, band structure and phonon spectra of silicon, and Mo-S battery system. It discusses methods once considered too expensive but that are now cost-effective. New examples also include various post-processed results using VESTA, VMD, VTST, and MedeA.

Atomic-Scale Modelling of Electrochemical Systems A comprehensive overview of atomistic computational electrochemistry, discussing methods, implementation, and state-of-the-art applications in the field The first book to review state-of-the-art computational and theoretical methods for modelling, understanding, and predicting the properties of electrochemical interfaces. This book presents a detailed description of the current methods, their background, limitations, and use for addressing the electrochemical interface and reactions. It also highlights several applications in electrocatalysis and electrochemistry. Atomic-Scale Modelling of Electrochemical Systems discusses different ways of including the electrode potential in the computational setup and fixed potential calculations within the framework of grand canonical density functional theory. It examines classical and quantum mechanical models for the solid-liquid interface and formation of an electrochemical double-layer using molecular dynamics and/or continuum descriptions. A thermodynamic description of the interface and reactions taking place at the interface as a function of the electrode potential is provided, as are novel ways to describe rates of heterogeneous electron transfer, proton-coupled electron transfer, and other electrocatalytic reactions. The book also covers multiscale modelling, where atomic level information is used for predicting experimental observables to enable direct comparison with experiments, to rationalize experimental results, and to predict the following electrochemical performance. Uniquely explains how to understand, predict, and optimize the properties and reactivity of electrochemical interfaces starting from the atomic scale Uses an engaging “tutorial style” presentation, highlighting a solid physicochemical background, computational implementation, and applications for different methods, including merits and limitations Bridges the gap between experimental electrochemistry and computational atomistic modelling Written by a team of experts within the field of computational electrochemistry and the wider computational condensed matter community, this book serves as an introduction to the subject for readers entering the field of atom-level electrochemical modeling, while also serving as an invaluable reference for advanced practitioners already working in the field.