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Written in a succinct manner using informal language, the book presents concise coverage of key concepts suitable for novices to the field. It begins by examining the potential energy surface (PES), which provides the connection between experimental data and molecular modeling. It explores ways to calculate energy by molecular and quantum mechanics. It describes molecular properties and the condensed phase, and shows how to extract and interpret information from a program output. The author uses hands-on exercises to illustrate concepts and he supplements the text with a blog containing animated tutorials and interactive figures.
Drawn from the author's own lecture notes from a class he taught for many years at the University of Iowa, this volume introduces topics in such a way that beginners can clearly comprehend molecular modeling results. A perfect supplement to a molecular modeling textbook, the book offers students the "hands-on" practice they need to grasp sophisticated concepts.
In addition to his blog, the author maintains a website describing his seminars.
Author: Jan H. Jensen
Binding Type: Paperback
Publisher: CRC Press
Published: 04/26/2010
Pages: 190
Weight: 0.7lbs
Size: 9.10h x 5.90w x 0.50d
ISBN: 9781420075267
About the Author
Jan H. Jensen, Ph.D., was born in Denmark in 1969 and came to the United States as a foreign exchange student in 1985. He received his B.A. in chemistry from Concordia College in 1989 and his Ph.D. in theoretical chemistry from Iowa State University in 1995, working with Mark Gordon. He continued in the Gordon group as a postdoctoral associate until 1997, when he moved to the University of Iowa where he was first assistant and then associate professor of chemistry until 2006. In 2006 he moved to the University of Copenhagen where he is now professor of bio-computational chemistry in the Department of Chemistry. His research interests are primarily in the area of computational molecular biophysics-at the intersection of molecular physics, quantum chemistry, and structural biology/bioinformatics.
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