Computational Materials Science
Computational Materials Science

Author: Kaoru Ohno

Publisher: Springer

Published: 2018-04-14

Total Pages: 433

ISBN-13: 3662565420

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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.

Computer Simulation in Materials Science
Computer Simulation in Materials Science

Author: M. Meyer

Publisher: Springer Science & Business Media

Published: 2012-12-06

Total Pages: 540

ISBN-13: 9401135460

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This volume collects the contributions! to the NATO Advanced Study Institute (ASI) held in Aussois (France) by March 25 - April 5, 1991. This NATO ASI was intended to present and illustrate recent advances in computer simulation techniques applied to the study of materials science problems. Introductory lectures have been devoted to classical simulations with special reference to recent technical improvements, in view of their application to complex systems (glasses, molecular systems . . . ). Several other lectures and seminars focused on the methods of elaboration of interatomic potentials and to a critical presentation of quantum simulation techniques. On the other hand, seminars and poster sessions offered the opportunity to discuss the results of a great variety of simulation studies dealing with materials and complex systems. We hope that these proceedings will be of some help for those interested in simulations of material properties. The scientific committee advises have been of crucial importance in determining the conference program. The directors of the ASI express their gratitude to the colleagues who have participated to the committee: Y. Adda, A. Bellemans, G. BIeris, J. Castaing, C. R. A. Catlow, G. Ciccotti, J. Friedel, M. Gillan, J. P. Hansen, M. L. Klein, G. Martin, S. Nose, L. Rull-Fernandez, J. Valleau, J. Villain. The main financial support has been provided by the NATO Scientific Affairs Division and the Commission of European Communities (plan Science).

Computer Simulation in Materials Science
Computer Simulation in Materials Science

Author: H.O. Kirchner

Publisher: Springer

Published: 1996-01-31

Total Pages: 624

ISBN-13:

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For decades to come, the limits to computing power will not allow atomistic simulations of macroscopic specimens. Simulations can only be performed on various scales (nano, meso, micro and macro) using the input provided by simulations (or data) on the next smaller scale. The resulting hierarchy has been the focus of many seminars and lectures. Necessarily, special emphasis has been placed on mesoscopic simulations, bridging the gaps between nano (atomic) and micro space and time scales. The contributors to Computer Simulation in Materials Science consider both fundamental problems and applications. Papers on the evolution of morphological patterns in phase transformations and plastic deformation, irradiation effects, mass transport and mechanical properties of materials in general highlight what has already been achieved. It is concluded that computer simulations must be based on realistic and efficient models: the fundamental equations controlling the dynamical evolution of microstructures, stochastic field kinetic models, being a case in point. The mesoscopic approach has proved particularly effective in plastic deformation and work hardening. On the mesoscopic scale, the contributions made to the deformation of polycrystals and localized plastic flow show the importance of computing power in ongoing and future research.

Computational Materials Science
Computational Materials Science

Author: Dierk Raabe

Publisher: Wiley-VCH

Published: 1998-10-27

Total Pages: 408

ISBN-13:

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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: A.M. Ovrutsky

Publisher: Elsevier

Published: 2013-11-19

Total Pages: 389

ISBN-13: 0124202071

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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 Engineering
Computational Materials Engineering

Author: Maciej Pietrzyk

Publisher: Butterworth-Heinemann

Published: 2015-07-14

Total Pages: 388

ISBN-13: 0124167241

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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

Handbook of Materials Structures, Properties, Processing and Performance
Handbook of Materials Structures, Properties, Processing and Performance

Author: Lawrence E. Murr

Publisher: Springer

Published: 2021-01-14

Total Pages: 1500

ISBN-13: 9783319019055

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This extensive knowledge base provides a coherent description of advanced topics in materials science and engineering with an interdisciplinary/multidisciplinary approach. The book incorporates a historical account of critical developments and the evolution of materials fundamentals, providing an important perspective for materials innovations, including advances in processing, selection, characterization, and service life prediction. It includes the perspectives of materials chemistry, materials physics, engineering design, and biological materials as these relate to crystals, crystal defects, and natural and biological materials hierarchies, from the atomic and molecular to the macroscopic, and emphasizing natural and man-made composites. This expansive presentation of topics explores interrelationships among properties, processing, and synthesis (historic and contemporary). The book serves as both an authoritative reference and roadmap of advanced materials concepts for practitioners, graduate-level students, and faculty coming from a range of disciplines.

Computer Simulation of Ion-Solid Interactions
Computer Simulation of Ion-Solid Interactions

Author: Wolfgang Eckstein

Publisher: Springer Science & Business Media

Published: 2013-03-12

Total Pages: 303

ISBN-13: 3642735134

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In this book the author discusses the investigation of ion bombardment of solids by computer simulation, with the aim of demonstrating the usefulness of this approach to the problem of interactions of ions with solids. The various chapters present the basic physics behind the simulation programs, their structure and many applications to different topics. The two main streams, the binary collision model and the classical dynamics model, are discussed, as are interaction potentials and electronic energy losses. The main topics investigated are backscattering, sputtering and implantation for incident atomic particles with energies from the eV to the MeV range. An extensive overview of the literature is given, making this book of interest to the active reseacher as well to students entering the field.

Numerical Modeling in Materials Science and Engineering
Numerical Modeling in Materials Science and Engineering

Author: Michel Rappaz

Publisher: Springer Science & Business Media

Published: 2010-03-11

Total Pages: 544

ISBN-13: 3642118216

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Computing application to materials science is one of the fastest-growing research areas. This book introduces the concepts and methodologies related to the modeling of the complex phenomena occurring in materials processing. It is intended for undergraduate and graduate students in materials science and engineering, mechanical engineering and physics, and for engineering professionals or researchers.

Understanding Molecular Simulation
Understanding Molecular Simulation

Author: Daan Frenkel

Publisher: Elsevier

Published: 2001-10-19

Total Pages: 661

ISBN-13: 0080519989

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Understanding Molecular Simulation: From Algorithms to Applications explains the physics behind the "recipes" of molecular simulation for materials science. Computer simulators are continuously confronted with questions concerning the choice of a particular technique for a given application. A wide variety of tools exist, so the choice of technique requires a good understanding of the basic principles. More importantly, such understanding may greatly improve the efficiency of a simulation program. The implementation of simulation methods is illustrated in pseudocodes and their practical use in the case studies used in the text. Since the first edition only five years ago, the simulation world has changed significantly -- current techniques have matured and new ones have appeared. This new edition deals with these new developments; in particular, there are sections on: Transition path sampling and diffusive barrier crossing to simulaterare events Dissipative particle dynamic as a course-grained simulation technique Novel schemes to compute the long-ranged forces Hamiltonian and non-Hamiltonian dynamics in the context constant-temperature and constant-pressure molecular dynamics simulations Multiple-time step algorithms as an alternative for constraints Defects in solids The pruned-enriched Rosenbluth sampling, recoil-growth, and concerted rotations for complex molecules Parallel tempering for glassy Hamiltonians Examples are included that highlight current applications and the codes of case studies are available on the World Wide Web. Several new examples have been added since the first edition to illustrate recent applications. Questions are included in this new edition. No prior knowledge of computer simulation is assumed.