Recent Progress In Coupled Cluster Methods

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Recent Progress in Coupled Cluster Methods

Recent Progress in Coupled Cluster Methods
Author :
Publisher : Springer Science & Business Media
Total Pages : 672
Release :
ISBN-10 : 9789048128853
ISBN-13 : 9048128854
Rating : 4/5 (854 Downloads)

Book Synopsis Recent Progress in Coupled Cluster Methods by : Petr Cársky

Download or read book Recent Progress in Coupled Cluster Methods written by Petr Cársky and published by Springer Science & Business Media. This book was released on 2010-07-03 with total page 672 pages. Available in PDF, EPUB and Kindle. Book excerpt: I feel very honored that I have been asked to write a Foreword to this book. The subject of the book – “Coupled cluster theory” – has been around for about half a century. The basic theory and explicit equations for closed-shell ground states were formulated before 1970. At the beginning of the seventies the rst ab initio calcu- tion were carried out. At that time speed and memory of computers were very limited compared to today’s standards. Moreover, the size of one-electron bases employed was small, so that it was only possible to achieve an orientation in methodical aspects rather than to generate new signi cant results. Extensive use of the coupled-cluster method started at the beginning of the eighties. With the help of more powerful computers the results of coupled-cluster approaches started to yield more and more interesting results of relevance to the interpretation of experimental data. New ideas in methodology kept appearing and computer codes became more and more ef cient. This exciting situation continues to this very day. Remarkably enough, even the - quired equations can now be generated by a computer with the help of symbolic languages. The size of this monograph and the rich variety of articles it contains attests to the usefulness and viability of the couple-cluster formalism for the h- dling of many-electron correlation effects. This represents a vivid testimony of a tremendous work that has been accomplished in coupled-cluster methodology and its exploitation.


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