Understanding Molecular Simulation (Computational Science Series, Vol 1)

Book Description

Understanding Molecular Simulation: From Algorithms to Applications explains the physics behind the "recipes" of molecular simulation for materials science. Computer simulators are continuously confronted with questions concerning the choice of a particular technique for a given application. A wide variety of tools exist, so the choice of technique requires a good understanding of the basic principles. More importantly, such understanding may greatly improve the efficiency of a simulation program. The implementation of simulation methods is illustrated in pseudocodes and their practical use in the case studies used in the text.

Since the first edition only five years ago, the simulation world has changed significantly -- current techniques have matured and new ones have appeared. This new edition deals with these new developments; in particular, there are sections on:

· Transition path sampling and diffusive barrier crossing to simulaterare events
· Dissipative particle dynamic as a course-grained simulation technique
· Novel schemes to compute the long-ranged forces
· Hamiltonian and non-Hamiltonian dynamics in the context constant-temperature and constant-pressure molecular dynamics simulations
· Multiple-time step algorithms as an alternative for constraints
· Defects in solids
· The pruned-enriched Rosenbluth sampling, recoil-growth, and concerted rotations for complex molecules
· Parallel tempering for glassy Hamiltonians

Examples are included that highlight current applications and the codes of case studies are available on the World Wide Web. Several new examples have been added since the first edition to illustrate recent applications. Questions are included in this new edition. No prior knowledge of computer simulation is assumed.

Customer Reviews:

great book for MD basics.......2007-05-07

I was especially delighted about the Monte Carlo methods and the free energy calculation techniques.

Old fashioned fortran, strong bias on Monte Carlo.......2006-06-19

There is a very strong bias to MC methods in the book. What they have to say about Molecular Dynamics methods is not really new, most of it is virtually copied from the classic by Allan/Tildesley, and many MD techniques which they consider "advanced" (such as cell list methods, verlet tables, etc.) are shifted to one of the many appendices. They do not talk about ghostparticles for instance or give a detailed account of parallelized algorithms which is really state-of-the art today.
The code examples for download for the exercises, contain subtle errors, are not optimized for performance (which is THE most important thing in simulation business) and worst of all, are written in Fortran. The fact that they publish Fortran code must reflect the fact that at the time they learned how to program a computer there was no C, C++, JAVA, etc. and no object orientation in sight. Nowadays, probably no expert in programming would start a scientific and readable code in fortran. Also their definition of an algorithm is simply technically wrong. The authors are very sloppy here, have obviously no training in theoretical computer science and are obviously no experts for writing optimal code.
Scientifically, as far as physics is concerned, the book is sound, they give good arguments pro and against certain methods, but when you have already worked with Allan/Tildesley or Rappaport for many years you have the eery impression that they simply repeat many arguments from these books or from other research articles (They keep citing Allan/Tildesley a lot) Those things that are not more or less copied from other sources seems to reflect their own experience in this field which seems to be strongly limited to MC methods.
Although this book is sometimes praised I cannot really recommend it. Allan/Tildesley, and in particular the book by Rappaport are superior in stlye and in particluar as code examples are concerned. With Rappaport you get working code right away in proper C (albeit in Fortran-Style C -- again, the reason for this being the fact, that all these authors of Simulation books learned programming probably in the late 70's when Fortran was state-of-the-art). I nevertheless would recommend Rappaports book instead. The authors even offer scientific workshops based on their book (and probably make a lot of money with that). One can only hope that those are better than the coding examples of the exercises. Therefore only 2 stars.

Excellent text for beginners in simulation.......2004-11-20

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.

Perfect for New Grad Students.......2002-11-24

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.

A nice disappointment.......2001-08-30

The title of the book is overly ambitious and falls short on its promises. The book is a good introduction to Molecular Mechanics (MM), Molecular Dynamics (MD) and Monte Carlo (MC) methods, with detailed descriptions of the methods used and FORTRAN (pseudo)code, covering from the basics to some middle-level and some advanced algorithms.
But it does NOT cover all the fields of Molecular Modelling, just the three mentioned (MM, MD and MC), there's no coverage of quantum mechanics methods, nor QSAR or other technologies. And, while it described the algorithms, I can't think of it going all the way through up to building applications. For this, Rapaport's makes a better job, and for a general intro to Molecular Modelling, Grant & Richards' Computational Chemistry is more comprehensive (albeit at a more superficial level). Nor does it provide much detail on the methods used in modelling biological macromolecules, an increasing application field for the methods discussed in the book.
All in all, this book fails to satisfy its cover title, it won't introduce to the whole field (just the areas of MM, MD and MC) nor does it go up to application level. But it IS a REAL GOOD introduction to the subjects covered and their basic algorithms,
with sample code, detailed descriptions and plenty of references to specialized articles, texts and resources.

Handbook of Computational Quantum Chemistry

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Nice exposition on the inner workings of computational quantum chemistry.
My views on Computational Quantum Physics

Handbook of Computational Quantum Chemistry
David B. Cook
Manufacturer: Dover Publications
ProductGroup: Book
Binding: Paperback

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ASIN: 0486443078

Book Description

This comprehensive text provides upper-level undergraduates and graduate students with an accessible introduction to the implementation of quantum ideas in molecular modeling, exploring practical applications alongside theoretical explanations. Topics include the Hartree-Fock method; matrix SCF equations; implementation of the closed-shell case; introduction to molecular integrals; and much more. 1998 edition.

Customer Reviews:

Nice exposition on the inner workings of computational quantum chemistry........2007-01-10

David Cook's book, pun-fully referred to as the 'Cook-book', is a very easy to read exposition through the inner workings of computational chemistry. Cook covers all the major topics from general Hartree-Fock theory through more exotic methods such as Moeller-Plesset perturbation and coupled-cluster theories and their implementation in Fortran (some C). Next to the theoretical models, the Cook-book cooks up a rudementary integral evaluation program and offers tips and pseudo-code for integral storage and handling. If you are new to coding, this book also interjects appendices throughout detailing ways of housekeeping computer code and creating internal documentation on different subroutines with external open-source programs. Overall, this is a must-have for any computational chemist whether they code or not simply as a reference of the coding details of modern theoretical models. For the price, you couldn't hope to find a better reference.

My views on Computational Quantum Physics.......1999-06-29

I have much experence writing books, and I have found that all other subjects are boring, and computational quantum chemestry was intullectually stimulating. You will be entralled and involved in the book from the time that you pick it up. It is also a great resource for all of the colledge student planning to study this and are currently. I highly reccomend this book to anyone else who feels that their life just isn't complete.

Simple Theorems, Proofs and Derivations in Quantum Chemistry (Mathematical and Computational Chemistry)

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Simple Theorems, Proofs and Derivations in Quantum Chemistry (Mathematical and Computational Chemistry)
Istvan Mayer
Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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ASIN: 0306474093

Book Description

This is an advanced volume on quantum chemistry that will be useful for graduate students and as a reference for people in or moving into the field. It will be multi-disciplinary in nature, attracting a market in physical chemistry, spectroscopy, physics, and materials science.

Computational Chemistry: Introduction to the Theory and Applications of Molecular and Quantum Mechanics

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Very good first intro to computational chemistry
Rough reading

Computational Chemistry: Introduction to the Theory and Applications of Molecular and Quantum Mechanics
Errol G. Lewars
Manufacturer: Springer
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ASIN: 1402074220

Book Description

Computational chemistry has become extremely important in the last decade, being widely used in academic and industrial research. Yet there have been few books designed to teach the subject to nonspecialists.
Computational Chemistry: Introduction to the Theory and Applications of Molecular and Quantum Mechanics is an invaluable tool for teaching and researchers alike. The book provides an overview of the field, explains the basic underlying theory at a meaningful level that is not beyond beginners, and it gives numerous comparisons of different methods with one another and with experiment.
The following concepts are illustrated and their possibilities and limitations are given:

- potential energy surfaces;
- simple and extended Hückel methods;
- ab initio, AM1 and related semiempirical methods;
- density functional theory (DFT).

Topics are placed in a historical context, adding interest to them and removing much of their apparently arbitrary aspect. The large number of references, to all significant topics mentioned, should make this book useful not only to undergraduates but also to graduate students and academic and industrial researchers.

Customer Reviews:

Very good first intro to computational chemistry.......2004-08-28

The only other book I can compare this to is Cramer's, and this one is better suited to a first introduction into computatioal chemistry. I have taken one graduate quantum chemistry course, and this was more than enough background for understanding this book. This is the only text I know of (I asked my comp chem prof if he knew of any others) that walks through a Hartree Fock calculation step by step using an example. There are some mistakes in the formulas, but they are quite minor. All in all, I would recommend this book to anybody interested in beginning to learn about computational chemistry.

Rough reading.......2004-05-12

Maybe there just isn't any way into the basics of modern computational chemistry.

Lewars introduces the easy parts in a clear enough way. Potential energy surfaces make sense. Molecular mechanics has a good, intuitive feel - it's the springs-and-balls model, elaborated to include plane and dihedral angles, representing force fields derived from other sources.

After that (i.e., after p. 80), it's quantum mechanics for a few hundred pages. The premise is that the layout of electrons across a molecule determines its chemistry, and that the wave function tells where the electrons will be. Since the wave equations can't be solved exactly for anything with two or more electrons (!), it's actually approximations to quantum. That leads to two levels of opacity: quantum itself, and all the facts that were scraped off in the approximation process. At this point, the chice is binary: become fluent in quantum, or move on. There are a few nuggets to be had for the non-fluent, including some of the techniques for solving these horrendous integrals. Mostly, though, I moved on.

After the "ab initio" quantum mechanical methods, Lewars presents the semi-empirical models. These deal with simplified models of wave functions. Unlike ab initio methods, which stand on almost purely theoretical models, semi-empirical methods are informed by experimental data. They are based on the electron wave functions, as are the ab initio methods, but use approximations calibrated by experimental results. The book's final section presents density functional theory (DFT), another technique for estimating where the electrons will be.

This book demands a lot of the reader, more than I came in with or had time to develop. I was able to use it to get a working vocabulary of the major kinds of computations, the general categories of approach to modeling, and a rough idea of the techniques and complexities involved. I need a little more information than that, but not the immediate leap into the deep end presented here.

Book Description

This textbook does away with the classic, unimaginative approach and comes straight to the point with a bare minimum of mathematics—emphasizing the understanding of concepts rather than presenting endless strings of formulae. It nonetheless covers all important aspects of computational chemistry, such as

vector space theory
quantum mechanics
approximation methods
theoretical models
and computational methods

Throughout the chapters, mathematics are differentiated by necessity for understanding - fundamental formulae, and all the others. All formulae are explained step by step without omission, but the non-vital ones are marked and can be skipped by those who do not relish complex mathematics.

The reader will find the text a lucid and innovative introduction to theoretical and computational chemistry, with food for thought given at the end of each chapter in the shape of several questions that help develop understanding of the concepts.

What the reader will not find in this book are condescending sentences such as, 'From (formula A) and (formula M) it is obvious that (formula Z).'

Customer Reviews:

Too many fundamental errors to be worth considering........2007-06-22

While the stated goal of a treatment of theoretical and computational chemistry without irrelevant mathematical details is admirable, this book falls far short of its ambitious goals.

The thinness of the book, rather than evidence of concise exposition, leaves much to be desired in its selection of what mathematical details are omitted and what is left in. It is far too simplistic to the point of misleading, Even many of the pictures, while certainly colorful, are often banal and unproductive (Figure 4.1 is a prime example of a complete waste of ink).

The book is unfortunately also rife with glaring mistakes. One particular egregious example is the use of the term 'molecular dynamics' wherever 'molecular mechanics' is meant, resulting in incorrect conflation of these concepts. Poor notation which fails to distinguish between states as kets vs. their position-space representations gets the authors into trouble, especially when writing expressions involving gradients, or worse, using kets in their exposition of molecular mechanics! Another fundamental error is the explicit use of a time operator when discussing energy-time uncertainty, which is wrong since energy-time uncertainty does *not* follow from the usual operator commutator relationships such as the one used to demonstrate position-momentum uncertainty (as explained in A. Peres's book and many others).

In conclusion, save your money and get another book. It is too full of errors, frivolous details and misleading 'derivations' to be worth serious attention.

Average customer rating:

Not a good book
You can not expect that much from this book
Worthwhile purchase
A nice book
Introduction to Computational Chemistry

Introduction to Computational Chemistry
Frank Jensen
Manufacturer: John Wiley & Sons
ProductGroup: Book
Binding: Paperback

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ASIN: 0471984256

Book Description

Introduction to Computational Chemistry Frank Jensen Odense University, Denmark Computational chemistry is a rapidly emerging and developing area, combining theoretical models with computers to investigate a variety of chemical phenomena. Increasingly applied throughout chemistry, computational methods are becoming an integral part of modern chemical research. Introduction to Computational Chemistry provides a comprehensive account of the fundamental principles underlying different methods, ranging from classical to sophisticated quantum models. Although the main focus is on molecular structures and energetics, subjects such as molecular properties, dynamical aspects, relativistic methods and qualitative models are also covered. Introduction to Computational Chemistry features:
* Coverage from first principles through to the latest advances.
* Relatively self-contained chapters, allowing for flexibility in the order in which they can be read.
* A web site containing additional information.
Suitable for students and researchers entering the field of computational chemistry, it is also an essential reference for procedures commonly cited in computational chemistry literature. No prior knowledge of concepts specific to computational chemistry is necessary, although some understanding of introductory quantum mechanics and elementary mathematics is assumed.

Customer Reviews:

Not a good book.......2006-04-18

I'm a practicing quantum chemist and I own this book, Levine, Szabo, Helgaker, etc. This is by far the worst book for many reasons. First, this book is not pedagogical, you will not learn HOW anything works, just what Jensen or common knowledge says about different methods. Second, Jensen isn't a very good quantum chemist and he's flat out wrong in some places. His remarks on relativistic effects in quantum chemistry elicited a "that's f***ing b***s**t" from an expert in relativistic quantum chemistry I know.

If you want to learn the basics of the methods, Levine, Szabo and Helgaker are the best, in order of difficulty, although review articles (free to academics) and lecture notes found on UGeorgia's CCC home page by David Sherrill are just as good for no cost. I have heard Cramer does a better job at the goal of this book, however, there's no point to writing these quasi-undergraduate textbooks since they aren't classroom-worthy, nor are they useful to any real researcher in the field.

Because one might not care for my review, here is a review in one of the foremost journals in chemistry:

Angewandte Chemie, Int. Ed., September 1999

The large and continually increasing importance of theoretical methods in the solution of chemical problems was impressively documented last year by the conferring of the Nobel price for chemistry on two extraordinary champions of this genre, John Pople and Walter Kohn. Of course, the appearance of Frank Jensen's textbook about computational chemistry could hardly have been better timed. In contrast to the numerous quantum-chemistry textbooks previously available, this book intends to cover the entire field of computational chemistry, although the main emphasis is clearly on the discussion of quantum-mechanical methods.

Jensen begins with an introductory, barely 50 page chapter about empirical force field methods. As in the rest of the book, the aspects being discussed are pleasantly geared toward the requirements of the potential user. In this manner, different parameterization strategies are discussed, and popular force fields are critically examined with regard to their fields of application and are compared to each other. Additional, modern approaches such as the determination of transition structures through force field calculations or the combination of force field methods with quantum-chemical strategies are introduced. Chapters follow in which a conventional, if also state of the art, introduction to the predominant tools of quantum chemistry - the Hartree-Fock approximations, important semiempirical methods (from the H?ckel model to PM3 and SAM1_, and current methods for the inclusion of electron correlation (configuration interaction, perturbation theory, coupled cluster) - is given. These sections are sensibly supplemented by a chapter dedicated to the different basis sets and their characteristics, in which extrapolation methods such as the different Gaussian-1 and -2, CBS, or PCI-X methods are also included. A modern theoretical textbook can naturally not be without a chapter about density functional theory, so their fundamentals and popular functionals are on 15 pages concisely introduced. Somewhat more specialized sections follow about valence-bond methods, relativistic approaches, population analysis, and the calculation of molecular properties. Subsequently, an entire discusses the accuracies of the previous introduced methods, with respect to the calculation of energies, geometries, vibrational frequencies, dipole moments, and so on. Fortunately, this discussion is not limited to the ubiquitous water molecule, but rather treats several systems that are more difficult. In the last third of this work, further points important to the subject of the book are worked through, unfortunately rather disjointedly. The relationships between thermodynamic quantities or absolute rate constants and the calculation of molecular quantities are established. The relevant methods for the optimization of minima and saddle points on potential energy surfaces are discussed and the qualitative concepts of frontier orbital theory and related approaches are expounded. Finally, simulation techniques such as the Monte-Carlo method or molecular dynamics, as well as approximate methods for the inclusion of solvent effect (COSMO, PCM, etc.) are introduced.

Based on the organization of the content and the elementary level of the presentation especially in the first part, this book serves as a useful accompanying text for application-oriented seminars and classes. As a rule, these cover a similar variety of subjects, and do not reduce the modeling and simulation methods to quantum chemistry. Beyond that, the efforts of the author to deliver a modern book that reflects the current state of the art are to be commended. Recent developments, such as hybrid strategies for the combination of force field and quantum-mechanical methods, the R12 approach in the calculations of electron correlation, or fast-multipole as well as pseudospectral methods for the efficient calculation of Columbic interactions are taken up in the discussion. Correspondingly up-to-date are the many useful references, which are as recent as 1998.

Despite this generally positive impression, there are some naturally some details that give rise to critical comments. For example, in some places the mathematical formalisms are described in great detail, while their interpretation is neglected. This is especially striking in the discussion of the density functionals. The highly complex expressions for, for example, Vosko, Wilk, and Nusair (VWN) or Lee, Yang, and Parr (LYP) correlation functionals are reproduced in all their beauty, although the actually do not reflect the underlying physics, but rather springs from purely pragmatic considerations. This reference fails, however, so that the complicated mathematics puts one off and do not impart any increased knowledge. Similar observations can be made about both the overly demanding sections about relativistic methods and the calculation of molecular properties. Here, the level is anything but elementary, much is assumed, and the description is far too compact. It is debatable, for instance, whether the highly complex discussion of propargators methods would be at all helpful to the reader of this book. Similarly, one can ask what the use the reader can make of the barely two-page appendix on the subject of ?second quantization.? which has no recognizable connection to the rest of the text. Here, less would surely have been more. Many smaller inconsistencies also blur the picture, such as when important concepts are used without comment many pages before they are introduced (e.g. ?natural orbitals?), or are never explained in greater detail (e.g. ?gradient norm?). Many misprints have also unfortunately crept in. Apart from the omission of a factor of ?N? in the definition of electron density, these are luckily only distracting and do not invalidate the contents. In the reference section in particular, one finds many wayward spellings of the authors? names. Also conspicuous is the clear and not always professionally understandable preference for Scandinavian authors in the selection of literature references.

Nevertheless, these critical comments should not obscure the fact that this book is an interesting new release. It covers the subject relevant to this area, is modern, and is over all pleasantly and understandably written. Jensen?s book will, despite the small problems, live up to the claims of being a useful introduction to the techniques of computational chemistry. It can be recommended to students of general chemistry,a s well as those scientists interested in the subject, especially in the view of its pleasantly moderate price.

Wolfram Koch
Gesellshaft Deutscher Chemiker
Frankfurt a.M. (Germany)

You can not expect that much from this book.......2002-09-21

Well, this book is a must-read for those who perform ab initio calculations. If you have enough quantum chemistry background, then this book is a good reference for your electronic structure calculations. However, you can not expect that you can learn HF, MPn, CC, CASSCF, CI, SE, etc., from this book. I think the reason for this book being so popular is because there is lack another one of the same introductory level. This book is not simple enough for a beginner as well as not deep enough for advanced readers. It does not discuss all the topic covered in the book in detail (maybe the capter of basis set is the only exception). This book is also lack of a chaper for calculating thermodynamic properties based on ab initio results. Anyway, this book may fill some gaps of my knowledge on ab initio calculations, but I do not enjoy reading it because it never helps to understand the principle of ab initio. For those who want to learn quantum chemistry/ab initio calc., this is absolutely NOT the one. Levine's quantum chemistry (5th) and modern quantum chemisty are the books written in much better style. For MM, TST/statistical mechanics chapters, which should be removed and leave more space for ab initio, I agree with other reviewers.

Worthwhile purchase.......2001-11-21

Provides an excellent overview of quantum mechanical computational chemistry methods. Discusses semiempirical, wave mechanics and density functional approaches in great detail. Also goes a good job discussing basis sets, optimization methods etc. Unfortunately, much less attention is given to other computational methods such as molecular mechanics. If one desires an overview of the entire compuational chemistry field, I reccommend Molecular Modeling by Leach. If your interests lie primarily in QM methods, this book has a more complete discussion of these methods than Leach's text.

A nice book.......2001-08-30

For a brief, general introduction to Computational Chemistry I prefer Grant & Richards', and for a deeper, detailed description of the whole filed, Leach's. Jensen is mainly oriented towards 'ab initio' methods with a touch of Molecular Mechanics.
This book starts with a short introduction to Molecular Mechanics and Dynamics, and then moves on to 'ab initio' Quantum Chemistry methods, to which it is mainly devoted and where it extends in greater detail. There, it becomes an excellent and deeper introduction to all the methods of Quantum Chemistry, and gets its true value.
Detailed descriptions of the different levels of theory, basis sets, density functional theory, semiempirical methods, relativistic methods, etc... make it an excellent introductory reading. Math coverage is just enough to undertand what is going on and how it will affect the computation, but not enough to help you write or design your own software.
There are lots of examples along the book used to illustrate the points, and an invaluable chapter comparing the different methods, their accuracy and performance and their utility in different calculations. The book carefully avoids tying to specific software packages and keeps examples on a higher level thus maintaining its applicability and generality. This is a good book for those mainly interested in Quantum Methods, wishing to learn about them, how they work and how they are applied in practice, as well as how they are implemented and what this will cost in computability and computer time. The initial chapters on MM and MD are detailed enough to provide a starting link to the methods used for more complex molecular systems.

Introduction to Computational Chemistry.......2000-06-12

This informative textbook from Jensen provides a comprehensive review of methods in computational chemistry. The equations are kept to a minimal level to ensure a focus on methodology, as opposed to pure math. This text would suit any higher level undergraduate theoretical course.

Advanced Theories and Computational Approaches to the Electronic Structure of Molecules (NATO Science Series C:)

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Advanced Theories and Computational Approaches to the Electronic Structure of Molecules (NATO Science Series C:)

Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

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ASIN: 9027718105

Advances in Chemical Physics, New Methods in Computational Quantum Mechanics (Advances in Chemical Physics)

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Advances in Chemical Physics, New Methods in Computational Quantum Mechanics (Advances in Chemical Physics)

Manufacturer: Wiley-Interscience
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Book Description

The use of quantum chemistry for the quantitative prediction of molecular properties has long been frustrated by the technical difficulty of carrying out the needed computations. In the last decade there have been substantial advances in the formalism and computer hardware needed to carry out accurate calculations of molecular properties efficiently. These advances have been sufficient to make quantum chemical calculations a reliable tool for the quantitative interpretation of chemical phenomena and a guide to laboratory experiments. However, the success of these recent developments in computational quantum chemistry is not well known outside the community of practitioners. In order to make the larger community of chemical physicists aware of the current state of the subject, this self-contained volume of Advances in Chemical Physics surveys a number of the recent accomplishments in computational quantum chemistry.

This stand-alone work presents the cutting edge of research in computational quantum mechanics. Supplemented with more than 150 illustrations, it provides evaluations of a broad range of methods, including:
* Quantum Monte Carlo methods in chemistry
* Monte Carlo methods for real-time path integration
* The Redfield equation in condensed-phase quantum dynamics
* Path-integral centroid methods in quantum statistical mechanics and dynamics
* Multiconfigurational perturbation theory-applications in electronic spectroscopy
* Electronic structure calculations for molecules containing transition metals
* And more

Contributors to New Methods in Computational Quantum Mechanics

KERSTIN ANDERSSON, Department of Theoretical Chemistry, Chemical Center, Sweden

DAVID M. CEPERLEY, National Center for Supercomputing Applications and Department of Physics, University of Illinois at Urbana-Champaign, Illinois

MICHAEL A. COLLINS, Research School of Chemistry, Australian National University, Canberra, Australia

REINHOLD EGGER, Fakultät für Physik, Universität Freiburg, Freiburg, Germany

ANTHONY K. FELTS, Department of Chemistry, Columbia University, New York

RICHARD A. FRIESNER, Department of Chemistry, Columbia University, New York

MARKUS P. FÜLSCHER, Department of Theoretical Chemistry, Chemical Center, Sweden

K. M. HO, Ames Laboratory and Department of Physics, Iowa State University, Ames, Iowa

C. H. MAK, Department of Chemistry, University of Southern California, Los Angeles, California

PER-ÅKE Malmqvist, Department of Theoretical Chemistry, Chemical Center, Sweden

MANUELA MERCHán, Departamento de Química Física, Universitat de Valéncia, Spain

LUBOS MITAS, National Center for Supercomputing Applications and Materials Research Laboratory, University of Illinois at Urbana-Champaign, Illinois

STEFANO OSS, Dipartimento di Fisica, Università di Trento and Istituto Nazionale di Fisica della Materia, Unità di Trento, Italy

KRISTINE PIERLOOT, Department of Chemistry, University of Leuven, Belgium

W. THOMAS POLLARD, Department of Chemistry, Columbia University, New York

BJÖRN O. ROOS, Department of Theoretical Chemistry, Chemical Center, Sweden

LUIS SERRANO-ANDRÉS, Department of Theoretical Chemistry, Chemical Center, Sweden

PER E. M. SIEGBAHN, Department of Physics, University of Stockholm, Stockholm, Sweden

WALTER THIEL, Institut für Organische Chemie, Universität Zürich, Zürich, Switzerland

GREGORY A. VOTH, Department of Chemistry, University of Pennsylvania, Pennsylvania

C. Z. Wang, Ames Laboratory and Department of Physics, Iowa State University, Ames, Iowa

Advances in Quantum Chemistry, Volume 28: Recent Advances in Computational Quantum Chemistry (Advances in Quantum Chemistry)

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Advances in Quantum Chemistry, Volume 28: Recent Advances in Computational Quantum Chemistry (Advances in Quantum Chemistry)

Manufacturer: Academic Press
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ASIN: 0120348284

Book Description

Advances in Quantum Chemistry publishes surveys of current developments in the rapidly developing field of quantum chemistry--a field that falls between the historically established areas of mathematics, physics,chemistry, and biology. With invited reviews written by leading international researchers, each presenting new results, this quality serial provides a single vehicle for following progress in this interdisciplinary area. "Volume 28 collects papers written in honor of Geerd H.F. Diercksen. Diercksen is a pioneer in the field of quantum mechanics whose research includes studies of the structure and stability of hydrogen-bonded and Van der Waals dimers and small clusters, thevibrational and rotational spectra of diatomic and triatomic molecules, on static electric properties in solutions and of molecules absorbed on surfaces. His results are essential in molecular and atomic physics, in astrophysics, and in biochemistry.

Computational Approaches to Biochemical Reactivity (Understanding Chemical Reactivity)

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Computational Approaches to Biochemical Reactivity (Understanding Chemical Reactivity)

Manufacturer: Springer
ProductGroup: Book
Binding: Hardcover

Biochemistry | Biological Sciences | Science | Subjects | Books

General & Reference | Chemistry | Science | Subjects | Books

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Biochemistry | Basic Science | Medicine | Subjects | Books

Physiology | Basic Science | Medicine | Subjects | Books

Book Description

This book summarises recent results in the rapidly developing discipline of the computational aspects of biochemical reactivity. It presents a comprehensive and critical treatise on the subject, with numerous references covering practically all relevant and recent work. The chapters, written by eminent experts in the field, deal with quantum mechanical models for reactions in solution, ab initio molecular orbital studies on enzymatic reactions, combined quantum--classical models for proteins, force field approaches for modelling enzymes, electrostatic effects in proteins, electrostatic basis of enzyme catalysis, the mechanism of proteases, modelling of proton transfer reactions in enzymes and protein--ligand interactions. Audience: This volume will be of interest to graduate students and researchers working in molecular biophysics, structural biology or structure-based molecular design.

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