Tuesday, February 5, 2013

The Art of Molecular Dynamics Simulation

The Art of Molecular Dynamics Simulation

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Product Description

The extremely powerful technique of molecular dynamics simulation involves solving the classical many-body problem in contexts relevant to the study of matter at the atomistic level. Since there is no alternative approach capable of handling this extremely broad range of problems at the required level of detail, molecular dynamics methods have proved themselves indispensable in both pure and applied research. This book is a blend of tutorial and recipe collection, providing both an introduction to the subject for beginners and a reference manual for the more experienced practitioner. It is organized as a series of case studies that take the reader through each of the steps from formulating the problem, developing the necessary software, and then using the programs to make actual measurements. The second edition of the book includes a substantial amount of new material as well as completely rewritten software.

The Art of Molecular Dynamics Simulation Review

I'm not sure I'm that reader.

The ideal reader is wholly at home with good bits of analysis - you'll be comfortable with Lagrange multipliers, LU decomposition, quaternion representation of oriented values, and a fair bit else. You won't need the basics of classical physics, including Hamiltonians and a few projections of the Navier-Stokes equations down into tractable form. Non- and in-equilibrium dynamics, smooth and discrete representations, plus their mixed forms - you're prepared to build up from these elements.

You, the ideal reader, are not much of a programmer, though. The book built very much around extensive C sample code. I use the term "C" in some strict syntactic sense, though. The general style reminds me of FORTRAN, but the global data declarations are in the style of pre-1980 BASIC. This book is aimed at the odd mix of capable numerical analyst (which I'm not) and chemist (which I'm not), but naive software developer (which I'm not).

The strength of this book is in its code samples. The author explictly invites modification and extension. The only sane way to modify this code is to understand it thoroughly, and to understand the underlying chemistry, physics, and numerical models.

Maybe this book works well for some people, people that I admire immensely. I just wish it worked better for me.

//wiredweird

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