Handbook of Materials Modeling
Handbook of Materials Modeling
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DOI：
10.1007/978-1-4020-3286-8
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发表时间：
2005
期刊：
影响因子：
--
通讯作者：
V. Giessen;A. Needleman
中科院分区：
文献类型：
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作者：
V. Giessen;A. Needleman
第一次参考其在迅速崛起的领域的计算方法，以材料研究，这是一个纲要的观点提供和专题文章写通知学生和非专业人士的现状和能力的建模和模拟。从方法论的角度来看，发展遵循多尺度方法，重点是电子结构，原子和中尺度方法，以及数学分析和速率过程。基本模型在传统学科中得到处理，不仅在方法的讨论中，而且在晶体缺陷，微观结构，流体，聚合物和软物质的章节中。由积极参与当前开发的作者撰写，这150篇文章的集合具有广度和深度，可以成为定义计算材料领域的主要贡献者。此外，还有40篇由德高望重的研究人员撰写的评论，提出了各种观点，应该引起社会后代的兴趣。主题编辑：马丁·巴赞特，麻省理工学院;布鲁斯博戈西安，塔夫茨大学;理查德卡特洛，皇家研究所;陈龙庆，宾夕法尼亚州立大学;威廉科廷，布朗大学;托马斯迪亚兹德拉鲁比亚，劳伦斯利弗莫尔国家实验室;尼古拉斯哈吉康斯坦蒂诺，麻省理工学院;马克F。密西西比州立大学的霍斯特迈耶、哈佛大学的埃夫西米奥斯·卡希拉斯、L. Mahadevan，哈佛大学;马萨诸塞州大学的Dimitrios Maroudas;麻省理工学院的Nicola Marzari;加州大学圣巴巴拉的Horia Metiu; Gregory C.拉特利奇，麻省理工学院;大卫J. Srolovitz，普林斯顿大学;鳟鱼，麻省理工学院;迪特·沃尔夫，阿贡国家实验室。
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.