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Awareness of the need and potential of supercomputers for scientific and engineering research has grown tremendously in the past few years. It has culminated in the Super computer Initiative undertaken two years aga by the National Science Foundation and presently under full development in the United States. Similar initiatives are under way in several European countries and in Japan too. Thus the organization of a symposium on 'Supercomputer Simulations in Chemistry' appeared timely, and such a meeting was held in Montreal (Canada) in August 1985, sponsored by IBM-Kingston and IBM-Canada, and organized by Dr. Enrico Clementi and Dr. Michel Dupuis. In connection with this, IBM's support of the Cornell University Supercomputer Center, several projects in the IBM Research Division, the experimental parallel engine (ICAP) assembled at IBM-Kingston, and the announcement (Fall 1985) of an add-on vector feature to the 3090 IBM mainframe underscore IBM's commitment to high-end scientific/engineering computing. The papers presented in this volume discuss topics in quantum mechanical and statis tical mechanical simulations, both of which test the limits of computer hardware and soft ware. Already a great deal of effort has been put into using vector supercomputers in these two areae. Much more is needed and, without doubt, ie bound to happen. To start, an historical perspective of computational quantum chemistry is provided by Professor Löwdin. The contribution by Ohno and co-workers gives an indication of the present status of Japanese supercomputers. Kutzelnigg et al. , Bauschlicher et al. , and Guest et al.
This volume represents the contributions of the 1989 IABG workshop on supercomputers and chemistry.
Ottobrunn, November 19-20, 1990
Recent years have seen the proliferation of new computer designs that employ parallel processing in one form or another in order to achieve maximum performance. Although the idea of improving the performance of computing machines by carrying out parts of the computation concurrently is not new (indeed, the concept was known to Babbage ), such machines have, until fairly recently, been confined to a few specialist research laboratories. Nowadays, parallel computers are commercially available and they are finding a wide range of applications in chemical calculations. The purpose of this volume is to review the impact that the advent of concurrent computation is already having, and is likely to have in the future, on chemical calculations. Although the potential of concurrent computation is still far from its full realization, it is already clear that it may turn out to be second in importance only to the introduction of the electronic digital computer itself.
Computers have been applied to problems in chemistry and the chemical sciences since the dawn of the computer age; however, it is only in the past ten or fifteen years that we have seen the emergence of computational chemistry as a field of research in its own right. Its practitioners, computational chemists, are neither chemists who dabble in computing nor programmers who have an interest in chemistry, but computa tional scientists whose aim is to solve a wide range of chemical problems using modern computing machines. This book gives a broad overview of the methods and techniques employed by the computational chemist and of the wide range of problems to which he is applying them. It is divided into three parts. The first part records the basics of chemistry and of computational science that are essential to an understanding of the methods of computational chemistry. These methods are described in the second part of the book. In the third part, a survey is given of some areas in which the techniques of computational chemistry are being applied. As a result of the limited space available in a single volume, the areas covered are necessarily selective. Nevertheless, a sufficiently wide range of applications are described to provide the reader with a balanced overview of the many problems being attacked by computational studies in chemistry.
This book provides a wide-ranging and up-to-date description of state-of-the-art computational methodologies in chemistry and chemical engineering. It displays a representative mix of topics on the computation and modeling of chemical systems of all sizes, from the very small (atomic) to the very large (industrial). The book constitutes an excellent overview for graduate students as well as a critical update for researchers.
Taking a highly pragmatic approach to presenting the principles and applications of chemical engineering, this companion text for students and working professionals offers an easily accessible guide to solving problems using computers. The primer covers the core concepts of chemical engineering, from conservation laws all the way up to chemical kinetics, without heavy stress on theory and is designed to accompany traditional larger core texts. The book presents the basic principles and techniques of chemical engineering processes and helps readers identify typical problems and how to solve them. Focus is on the use of systematic algorithms that employ numerical methods to solve different chemical engineering problems by describing and transforming the information. Problems are assigned for each chapter, ranging from simple to difficult, allowing readers to gradually build their skills and tackle a broad range of problems. MATLAB and Excel® are used to solve many examples and the more than 70 real examples throughout the book include computer or hand solutions, or in many cases both. The book also includes a variety of case studies to illustrate the concepts and a downloadable file containing fully worked solutions to the book’s problems on the publisher’s website. Introduces the reader to chemical engineering computation without the distractions caused by the contents found in many texts. Provides the principles underlying all of the major processes a chemical engineer may encounter as well as offers insight into their analysis, which is essential for design calculations. Shows how to solve chemical engineering problems using computers that require numerical methods using standard algorithms, such as MATLAB® and Excel®. Contains selective solved examples of many problems within the chemical process industry to demonstrate how to solve them using the techniques presented in the text. Includes a variety of case studies to illustrate the concepts and a downloadable file containing fully worked solutions to problems on the publisher’s website. Offers non-chemical engineers who are expected to work with chemical engineers on projects, scale-ups and process evaluations a solid understanding of basic concepts of chemical engineering analysis, design, and calculations.
Supercomputers are the ultimate engine of the information age. By generating and processing vast amounts of data with hitherto unparalleled speed, they make new activities in industrial research and product development possible. Supercomputers explores commercial supercomputer applications today as well as those emerging from university laboratories. It outlines trends in the supercomputing technology into the near future, and also contributes to a growing debate on the roles of the public and private sectors in nurturing this vital technology.
Introduces students to the basics of bioinorganic chemistry This book provides the fundamentals for inorganic chemistry and biochemistry relevant to understanding bioinorganic topics. It provides essential background material, followed by detailed information on selected topics, to give readers the background, tools, and skills they need to research and study bioinorganic topics of interest to them. To reflect current practices and needs, instrumental methods and techniques are referred to and mixed in throughout the book. Bioinorganic Chemistry: A Short Course, Third Edition begins with a chapter on Inorganic Chemistry and Biochemistry Essentials. It then continues with chapters on: Computer Hardware, Software, and Computational Chemistry Methods; Important Metal Centers in Proteins; Myoglobins, Hemoglobins, Superoxide Dismutases, Nitrogenases, Hydrogenases, Carbonic Anhydrases, and Nitrogen Cycle Enzymes. The book concludes with chapters on Nanobioinorganic Chemistry and Metals in Medicine. Readers are also offered end-of-section summaries, conclusions, and thought problems. Reduces size of the text from previous edition to match the first, keeping it appropriate for a one-semester course Offers primers and background materials to help students feel comfortable with research-level bioinorganic chemistry Emphasizes select and diverse topics using extensive references from current scientific literature, with more emphasis on molecular biology in the biochemistry section, leading to a discussion of CRISPR technology Adds new chapters on hydrogenases, carbonic anhydrases, and nitrogen cycle enzymes, along with a separate chapter on nanobioinorganic chemistry Features expanded coverage of computer hardware and software, metalloenzymes, and metals in medicines Supplemented with a companion website for students and instructors featuring Powerpoint and JPEG figures and tables, arranged by chapter Appropriate for one-semester bioinorganic chemistry courses, Bioinorganic Chemistry: A Short Course, Third Edition is ideal for upper-level undergraduate and beginning graduate students. It is also a valuable reference for practitioners and researchers in need of a general introduction to the subject, as well as chemists requiring an accessible reference.