Applied Computational Materials Modeling
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Applied Computational Materials Modeling
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Author : Guillermo Bozzolo
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-12-19
Applied Computational Materials Modeling written by Guillermo Bozzolo and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-12-19 with Technology & Engineering categories.
The scope of this book is to identify and emphasize the successful link between computational materials modeling as a simulation and design tool and its synergistic application to experimental research and alloy development. The book provides a more balanced perspective of the role that computational modeling can play in every day research and development efforts. Each chapter describes one or more particular computational tool and how they are best used.
Advanced Computational Materials Modeling
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Author : Miguel Vaz Junior
language : en
Publisher: John Wiley & Sons
Release Date : 2011-09-22
Advanced Computational Materials Modeling written by Miguel Vaz Junior and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-09-22 with Technology & Engineering categories.
With its discussion of strategies for modeling complex materials using new numerical techniques, mainly those based on the finite element method, this monograph covers a range of topics including computational plasticity, multi-scale formulations, optimization and parameter identification, damage mechanics and nonlinear finite elements.
Applied Computational Materials Modeling
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Author : Guillermo Bozzolo
language : en
Publisher: Springer
Release Date : 2008-11-01
Applied Computational Materials Modeling written by Guillermo Bozzolo and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-11-01 with Technology & Engineering categories.
The scope of this book is to identify and emphasize the successful link between computational materials modeling as a simulation and design tool and its synergistic application to experimental research and alloy development. The book provides a more balanced perspective of the role that computational modeling can play in every day research and development efforts. Each chapter describes one or more particular computational tool and how they are best used.
Multiscale Paradigms In Integrated Computational Materials Science And Engineering
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Author : Pierre Deymier
language : en
Publisher: Springer
Release Date : 2015-11-25
Multiscale Paradigms In Integrated Computational Materials Science And Engineering written by Pierre Deymier and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-11-25 with Science categories.
This book presents cutting-edge concepts, paradigms, and research highlights in the field of computational materials science and engineering, and provides a fresh, up-to-date perspective on solving present and future materials challenges. The chapters are written by not only pioneers in the fields of computational materials chemistry and materials science, but also experts in multi-scale modeling and simulation as applied to materials engineering. Pedagogical introductions to the different topics and continuity between the chapters are provided to ensure the appeal to a broad audience and to address the applicability of integrated computational materials science and engineering for solving real-world problems.
Handbook Of Materials Modeling
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Author : Sidney Yip
language : en
Publisher: Springer Science & Business Media
Release Date : 2007-11-17
Handbook Of Materials Modeling written by Sidney Yip and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2007-11-17 with Science categories.
The first reference of its kind in the rapidly emerging field of computational approachs to materials research, this is a compendium of perspective-providing and topical articles written to inform students and non-specialists of the current status and capabilities of modelling and simulation. From the standpoint of methodology, the development follows a multiscale approach with emphasis on electronic-structure, atomistic, and mesoscale methods, as well as mathematical analysis and rate processes. Basic models are treated across traditional disciplines, not only in the discussion of methods but also in chapters on crystal defects, microstructure, fluids, polymers and soft matter. Written by authors who are actively participating in the current development, this collection of 150 articles has the breadth and depth to be a major contributor toward defining the field of computational materials. In addition, there are 40 commentaries by highly respected researchers, presenting various views that should interest the future generations of the community. Subject Editors: Martin Bazant, MIT; Bruce Boghosian, Tufts University; Richard Catlow, Royal Institution; Long-Qing Chen, Pennsylvania State University; William Curtin, Brown University; Tomas Diaz de la Rubia, Lawrence Livermore National Laboratory; Nicolas Hadjiconstantinou, MIT; Mark F. Horstemeyer, Mississippi State University; Efthimios Kaxiras, Harvard University; L. Mahadevan, Harvard University; Dimitrios Maroudas, University of Massachusetts; Nicola Marzari, MIT; Horia Metiu, University of California Santa Barbara; Gregory C. Rutledge, MIT; David J. Srolovitz, Princeton University; Bernhardt L. Trout, MIT; Dieter Wolf, Argonne National Laboratory.
Handbook Of Materials Modeling
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Author : Wanda Andreoni
language : en
Publisher: Springer
Release Date : 2020-03-31
Handbook Of Materials Modeling written by Wanda Andreoni and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-31 with Science categories.
The Handbook of Materials Modeling, 2nd edition is a six-volume major reference serving a steadily growing community at the intersection of two mainstreams of global research: computational science and materials science and technology. This extensively expanded new edition reflects the significant developments in all aspects of computational materials research over the past decade, featuring progress in simulations at multiple scales and increasingly more realistic materials models. Thematically separated into two mutually dependent sets – “Methods: Theory and Modeling (MTM)” and “Applications: Current and Emerging Materials (ACE)” – the handbook runs the entire gamut from theory and methods to simulations and applications. Readers benefit from its in-depth coverage of a broad methodological spectrum extending from advanced atomistic simulations of rare events to data-driven artificial intelligence strategies for materials informatics in the set MTM, as well as forefront emphasis on materials of far-ranging societal importance such as photovoltaics and energy-relevant oxides, and cutting-edge applications to materials for spintronic devices, graphene, cement, and glasses in the set ACE. The thorough, interconnected coverage of methods and applications, together with a line-up of internationally acclaimed editors and authors, will ensure the Handbook of Material Modeling’s standing as an enduring source of learning and inspiration for a global community of computational materials scientists.
Uncertainty Quantification In Multiscale Materials Modeling
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Author : Yan Wang
language : en
Publisher: Woodhead Publishing Limited
Release Date : 2020-03-12
Uncertainty Quantification In Multiscale Materials Modeling written by Yan Wang and has been published by Woodhead Publishing Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-03-12 with Materials science categories.
Uncertainty Quantification in Multiscale Materials Modeling provides a complete overview of uncertainty quantification (UQ) in computational materials science. It provides practical tools and methods along with examples of their application to problems in materials modeling. UQ methods are applied to various multiscale models ranging from the nanoscale to macroscale. This book presents a thorough synthesis of the state-of-the-art in UQ methods for materials modeling, including Bayesian inference, surrogate modeling, random fields, interval analysis, and sensitivity analysis, providing insight into the unique characteristics of models framed at each scale, as well as common issues in modeling across scales.
Theory And Simulation In Physics For Materials Applications
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Author : Elena V. Levchenko
language : en
Publisher: Springer Nature
Release Date : 2020-02-14
Theory And Simulation In Physics For Materials Applications written by Elena V. Levchenko and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-02-14 with Technology & Engineering categories.
This book provides a unique and comprehensive overview of the latest advances, challenges and accomplishments in the rapidly growing field of theoretical and computational materials science. Today, an increasing number of industrial communities rely more and more on advanced atomic-scale methods to obtain reliable predictions of materials properties, complement qualitative experimental analyses and circumvent experimental difficulties. The book examines some of the latest and most advanced simulation techniques currently available, as well as up-to-date theoretical approaches adopted by a selected panel of twelve international research teams. It covers a wide range of novel and advanced materials, exploring their structural, elastic, optical, mass and electronic transport properties. The cutting-edge techniques presented appeal to physicists, applied mathematicians and engineers interested in advanced simulation methods in materials science. The book can also be used as additional literature for undergraduate and postgraduate students with majors in physics, chemistry, applied mathematics and engineering.
Computational Modeling Of Issues In Materials Science
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Author : H. Dreyssé
language : en
Publisher: Elsevier Science Limited
Release Date : 1998-07
Computational Modeling Of Issues In Materials Science written by H. Dreyssé and has been published by Elsevier Science Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 1998-07 with Technology & Engineering categories.
The Symposium D, entitled Computational Modeling of Issues in Materials Science was presented at the combined 1997 International Conference on Applied Materials/European Materials Research Society Spring meeting (ICAM'97/E-MRS'97) held in Strasbourg (France) from 16-20 June 1997. Those who attended came from all five continents with participants coming from as far away as South Africa, Australia and Eastern Europe. There were 14 invited talks, 54 contributed papers, and 62 posters presented at the symposium. Computational materials science has truly emerged as a field in itself. The range of phenomena studied and the variety of techniques used indicate that the subject has sufficiently matured that technologically relevant information can now be routinely extracted from computational modeling. These models increasingly use atomistic information from which macroscopic parameters may be determined. Several papers showed that parallel computers will play a major role in the further development of the field. The Car-Parrinello method emerged as a workhorse for the most advanced simulations which the advent of faster hardware and diffusion of computer codes has brought within easy reach of many research groups. How to consistently go from the micro- to the macro-scale remains one of the great unsolved puzzles in computational materials science and was the subject of much discussion at the symposium. The interdisciplinary side of computational studies of matter was demonstrated in several talks, where authors borrowed methods from nuclear physics, fluid dynamics, and other subjects. This was a very productive symposium with new collaborations started, many novel ideas generated and a large amount of information disseminated. The meeting gave an excellent idea of the status of computational materials service anno 1997.
Computational Materials Engineering
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Author : Maciej Pietrzyk
language : en
Publisher: Butterworth-Heinemann
Release Date : 2015-07-14
Computational Materials Engineering written by Maciej Pietrzyk and has been published by Butterworth-Heinemann this book supported file pdf, txt, epub, kindle and other format this book has been release on 2015-07-14 with Technology & Engineering categories.
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