Handbook of Materials Modeling (Vol 1&2) Review

Average Reviews:

(More customer reviews)The book contains extensive chapters on tight binding methods, density functional theory, atomistic modeling of materials using molecular dynamical methods, monte-carlo methods, rate equations and continuum methods, and covers processes from thin film growth to radiation damage in solids, defects in crystals to soft condensed matter. Towards the end the plenary chapters give a nice overview of the problems in the field of simulation. The chapters are lucidly written by the foremost researchers in the fields.
My only gripe is that it ignores the field of device simulations, which would have been a nice addition in an encyclopedic book like this.
A must have for any person trying to learn simulation techniques. Definitely five star material.

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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.

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