December 1, 2020

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Introduction to Computational Materials Science

Introduction to Computational Materials Science
Author : Richard LeSar
Publisher : Cambridge University Press
Release Date : 2013-03-28
Category : Science
Total pages :414
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Emphasising essential methods and universal principles, this textbook provides everything students need to understand the basics of simulating materials behavior. All the key topics are covered from electronic structure methods to microstructural evolution, appendices provide crucial background material, and a wealth of practical resources are available online to complete the teaching package. Modeling is examined at a broad range of scales, from the atomic to the mesoscale, providing students with a solid foundation for future study and research. Detailed, accessible explanations of the fundamental equations underpinning materials modelling are presented, including a full chapter summarising essential mathematical background. Extensive appendices, including essential background on classical and quantum mechanics, electrostatics, statistical thermodynamics and linear elasticity, provide the background necessary to fully engage with the fundamentals of computational modelling. Exercises, worked examples, computer codes and discussions of practical implementations methods are all provided online giving students the hands-on experience they need.

Computational Materials Science

Computational Materials Science
Author : Wofram Hergert,Arthur Ernst,Markus Däne
Publisher : Springer Science & Business Media
Release Date : 2004-04-29
Category : Science
Total pages :320
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Computational Physics is now a discipline in its own right, comparable with theoretical and experimental physics. Computational Materials Science concentrates on the calculation of materials properties starting from microscopic theories. It has become a powerful tool in industrial research for designing new materials, modifying materials properties and optimizing chemical processes. This book focusses on the application of computational methods in new fields of research, such as nanotechnology, spintronics and photonics, which will provide the foundation for important technological advances in the future. Methods such as electronic structure calculations, molecular dynamics simulations and beyond are presented, the discussion extending from the basics to the latest applications.

Topics in Computational Materials Science

Topics in Computational Materials Science
Author : Ching-yao Fong
Publisher : World Scientific
Release Date : 1998
Category : Technology & Engineering
Total pages :382
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This book describes the state-of-the-art research topics in theoretical materials science. It encompasses the computational methods and techniques which can advance more realistic calculations for understanding the physical principles in new growth methods of optoelectronic materials and related surface problems. These principles also govern the photonic, electronic, and structural properties of materials which are essential for device applications. They will also provide the crucial ingredients for the growth of future novel materials.

Computational Materials Science

Computational Materials Science
Author : A.M. Ovrutsky,A. S Prokhoda,M.S. Rasshchupkyna
Publisher : Elsevier
Release Date : 2013-11-19
Category : Computers
Total pages :388
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Computational Materials Science provides the theoretical basis necessary for understanding atomic surface phenomena and processes of phase transitions, especially crystallization, is given. The most important information concerning computer simulation by different methods and simulation techniques for modeling of physical systems is also presented. A number of results are discussed regarding modern studies of surface processes during crystallization. There is sufficiently full information on experiments, theory, and simulations concerning the surface roughening transition, kinetic roughening, nucleation kinetics, stability of crystal shapes, thin film formation, imperfect structure of small crystals, size dependent growth velocity, distribution coefficient at growth from alloy melts, superstructure ordering in the intermetallic compound. Computational experiments described in the last chapter allow visualization of the course of many processes and better understanding of many key problems in Materials Science. There is a set of practical steps concerning computational procedures presented. Open access to executable files in the book make it possible for everyone to understand better phenomena and processes described in the book. Valuable reference book, but also helpful as a supplement to courses Computer programs available to supplement examples Presents several new methods of computational materials science and clearly summarizes previous methods and results

Computational Materials Science

Computational Materials Science
Author : Dierk Raabe
Publisher : Wiley-VCH
Release Date : 1998-10-27
Category : Science
Total pages :379
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Modeling and simulation play an ever increasing role in the development and optimization of materials. Computational Materials Science presents the most important approaches in this new interdisciplinary field of materials science and engineering. The reader will learn to assess which numerical method is appropriate for performing simulations at the various microstructural levels and how they can be coupled. This book addresses graduate students and professionals in materials science and engineering as well as materials-oriented physicists and mechanical engineers.

Computational Materials Science

Computational Materials Science
Author : Kaoru Ohno,Keivan Esfarjani,Yoshiyuki Kawazoe
Publisher : Springer
Release Date : 2018-04-14
Category : Technology & Engineering
Total pages :427
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This textbook introduces modern techniques based on computer simulation to study materials science. It starts from first principles calculations enabling to calculate the physical and chemical properties by solving a many-body Schroedinger equation with Coulomb forces. For the exchange-correlation term, the local density approximation is usually applied. After the introduction of the first principles treatment, tight-binding and classical potential methods are briefly introduced to indicate how one can increase the number of atoms in the system. In the second half of the book, Monte Carlo simulation is discussed in detail. Problems and solutions are provided to facilitate understanding. Readers will gain sufficient knowledge to begin theoretical studies in modern materials research. This second edition includes a lot of recent theoretical techniques in materials research. With the computers power now available, it is possible to use these numerical techniques to study various physical and chemical properties of complex materials from first principles. The new edition also covers empirical methods, such as tight-binding and molecular dynamics.

Computational Materials Science

Computational Materials Science
Author : June Gunn Lee
Publisher : CRC Press
Release Date : 2016-11-25
Category : Science
Total pages :351
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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.

Computational Materials Science

Computational Materials Science
Author : June Gunn Lee
Publisher : CRC Press
Release Date : 2011-09-27
Category : Science
Total pages :302
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Computational Materials Science: An Introduction covers the essentials of computational science and explains how computational tools and techniques work to help solve materials science problems. The book focuses on two levels of a materials system: the electronic structure level of nuclei and electrons and the atomistic/molecular level. It presents

Computational Materials Science

Computational Materials Science
Author : Richard Catlow,Eugene Kotomin
Publisher : IOS Press
Release Date : 2003
Category : Materials science
Total pages :419
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Computational Materials Science of Polymers

Computational Materials Science of Polymers
Author : A. A. Askadskii
Publisher : Cambridge Int Science Publishing
Release Date : 2003-01-01
Category : Science
Total pages :696
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Annotation Methods of quantitative analysis of the effect of the chemical structure of linear and network polymers on their properties, computer synthesis of polymers with specific physical properties.

Tight-binding Approach to Computational Materials Science

Tight-binding Approach to Computational Materials Science
Author : Patrice E. A. Turchi,Antonios Gonis,Luciano Colombo
Publisher : Unknown
Release Date : 1998
Category : Science
Total pages :542
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The tight-binding model is the simplest scheme within a quantum mechanical framework for describing the energetics of materials which are characterized by fairly localized electrons, such as transition metals and their alloys, or by covalent bonding, such as semiconductors and insulators. Modern tight-binding theory provides a conceptual framework for a physical understanding of the structure of materials and relates the full-scale microscopic, quantum-mechanical computation of materials properties with intuitive chemical and physical arguments. This link between ab initio methods and phenomenological concepts allows one to address a wide range of complex materials issues, and at the same time retain the underlying physics responsible for typical materials behavior. This volume brings together researchers working on various aspects of tight-binding theory and on its applications to materials science. More specifically, important inroads are reported in our understanding of first-principles tight-binding methods, the use of tight-binding theory to study the effects of correlations in solids, the development of O(N) methods for electronic structure calculations and molecular dynamics, and parametrization schemes for use with semi-empirical tight-binding methods.

Computational Materials Engineering

Computational Materials Engineering
Author : Koenraad George Frans Janssens,Dierk Raabe,Ernest Kozeschnik,Mark A Miodownik,Britta Nestler
Publisher : Academic Press
Release Date : 2010-07-26
Category : Technology & Engineering
Total pages :360
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Computational Materials Engineering is an advanced introduction to the computer-aided modeling of essential material properties and behavior, including the physical, thermal and chemical parameters, as well as the mathematical tools used to perform simulations. Its emphasis will be on crystalline materials, which includes all metals. The basis of Computational Materials Engineering allows scientists and engineers to create virtual simulations of material behavior and properties, to better understand how a particular material works and performs and then use that knowledge to design improvements for particular material applications. The text displays knowledge of software designers, materials scientists and engineers, and those involved in materials applications like mechanical engineers, civil engineers, electrical engineers, and chemical engineers. Readers from students to practicing engineers to materials research scientists will find in this book a single source of the major elements that make up contemporary computer modeling of materials characteristics and behavior. The reader will gain an understanding of the underlying statistical and analytical tools that are the basis for modeling complex material interactions, including an understanding of computational thermodynamics and molecular kinetics; as well as various modeling systems. Finally, the book will offer the reader a variety of algorithms to use in solving typical modeling problems so that the theory presented herein can be put to real-world use. Balanced coverage of fundamentals of materials modeling, as well as more advanced aspects of modeling, such as modeling at all scales from the atomic to the molecular to the macro-material Concise, yet rigorous mathematical coverage of such analytical tools as the Potts type Monte Carlo method, cellular automata, phase field, dislocation dynamics and Finite Element Analysis in statistical and analytical modeling

Computational Materials Engineering

Computational Materials Engineering
Author : Maciej Pietrzyk,Lukasz Madej,Lukasz Rauch,Danuta Szeliga
Publisher : Butterworth-Heinemann
Release Date : 2015-07-14
Category : Technology & Engineering
Total pages :376
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Computational Materials Engineering: Achieving High Accuracy and Efficiency in Metals Processing Simulations describes the most common computer modeling and simulation techniques used in metals processing, from so-called "fast" models to more advanced multiscale models, also evaluating possible methods for improving computational accuracy and efficiency. Beginning with a discussion of conventional fast models like internal variable models for flow stress and microstructure evolution, the book moves on to advanced multiscale models, such as the CAFÉ method, which give insights into the phenomena occurring in materials in lower dimensional scales. The book then delves into the various methods that have been developed to deal with problems, including long computing times, lack of proof of the uniqueness of the solution, difficulties with convergence of numerical procedures, local minima in the objective function, and ill-posed problems. It then concludes with suggestions on how to improve accuracy and efficiency in computational materials modeling, and a best practices guide for selecting the best model for a particular application. Presents the numerical approaches for high-accuracy calculations Provides researchers with essential information on the methods capable of exact representation of microstructure morphology Helpful to those working on model classification, computing costs, heterogeneous hardware, modeling efficiency, numerical algorithms, metamodeling, sensitivity analysis, inverse method, clusters, heterogeneous architectures, grid environments, finite element, flow stress, internal variable method, microstructure evolution, and more Discusses several techniques to overcome modeling and simulation limitations, including distributed computing methods, (hyper) reduced-order-modeling techniques, regularization, statistical representation of material microstructure, and the Gaussian process Covers both software and hardware capabilities in the area of improved computer efficiency and reduction of computing time

Computational Materials Science: Theory and Applications

Computational Materials Science: Theory and Applications
Author : Lily Chen
Publisher : Willford Press
Release Date : 2018-02-19
Category : Computers
Total pages :203
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Computational materials science is a fast growing field. It involves computational tools for solving problems related to materials science. Different mathematical models are used for developing a better understanding of material structures and properties. Most research done in this field focuses on the behavior of materials at varied levels. This book on computational materials science is a collective contribution of a renowned group of international experts. It aims to serve as a resource guide for students and experts alike and contribute to the growth of the discipline.

Computational Materials Science

Computational Materials Science
Author : C. R. A. Catlow,Richard Catlow,Charles Richard Arthur Catlow,Evgeniĭ Alekseevich Kotomin,Eugene Kotomin
Publisher : NATO Science Series: Computer & Systems Sciences
Release Date : 2003
Category : Technology & Engineering
Total pages :419
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This text gives a survey of the fundamental methodologies of computational materials science and an illustrative range of contemporary applications. The focus is on inorganic (especially oxide) materials and semiconductors where there have been many important developments.