Understanding Molecular Simulation: From Algorithms to Applications
Conditions
A brand-new, unused copy in perfect condition.
Conditions
A brand-new, unused copy in perfect condition.
Conditions
A brand-new, unused copy in perfect condition.
Conditions
A brand-new, unused copy in perfect condition.
Understanding Molecular Simulation explains molecular simulation from a chemical-physics and statistical-mechanics perspective. It highlights how physical concepts are used to develop better algorithms and expand the range of applicability of simulations. Understanding Molecular Simulation is equally relevant for those who develop new code and those who use existing packages. Both groups are continuously confronted with the question of which computational technique best suits a given application. Understanding Molecular Simulation provides readers with the foundational knowledge they need to learn about, select and apply the most appropriate of these tools to their own work. The implementation of simulation methods is illustrated in pseudocodes, and their practical use is shown via case studies presented throughout the text.
Since the second edition's publication, the simulation world has expanded significantly: existing techniques have continued to develop, and new ones have emerged, opening up novel application areas. This new edition aims to describe these new developments without becoming exhaustive; examples are included that highlight current uses, and several new examples have been added to illustrate recent applications. Examples, case studies, questions, and downloadable algorithms are also included to support learning. No prior knowledge of computer simulation is assumed.
This description may be from another edition of this product.When I have any question about simulations, this book is my first choice and it usually doesn't disappoint me. Best part of this book is crystal theory and algorithm. I know how to run a simulation, how to choose a parameter WITH CONFIDENCE after reading it. However, codes in it are not always helpful, I usually need to implement in my own way. In brief, this book is very good on basic principle and algorithm of molecular simulations, but not how to write a piece of code.
Its an excellent book for those who are just beginners in MC & MD simulations. everything is very clearly explained with lot of examples and some related unsolved problems. the text explores this topic indetails with advanced chapters in later sections. Good for anybody int hsi field be it in materials science, physics or related fields.
This book is how I bootstrapped my way into being a molecular simulationist. Anyone who can program in some language can get started writing simple routines for the basic MD and MC simulations.I do Monte Carlo simulations at Princeton, and found this book to be the most helpful available for getting my research started. It is my most common reference, and is used extensively in writing background information for various research documents.However, after you have written your first few codes, you will pass the level of this book and need to move on. I use it less now than I did my first year.Every student in my group (Panagiotopoulos) has this book I think. And like me, they started with it, but moved on.
This book is an excellent introduction to the field of molecular dynamics simulation. It is easy to follow for a scientist entering the field and at the same time contains overview of most critical topics in MD simulation. The book's major goal is to describe how to simulate liquids, however it also mentions briefly the methods for gas and liquid simulations. List of references for further readings is very useful and complete.
This book covers many interesting topics in molecular simulation, both Monte Carlo and M.D. It focuses on understanding the main ideas rather than giving long codes. It's a good place to start, but it also covers some ideas not found in many other books. When I try to extend my molecular dynamics program I always check what Frenkel and Smit have to say about it.