Dennis Hore

Molecular Orientation Analysis using Polarized Vibrational Spectroscopy

A Programmatic Approach. X, 280 p. 130 illus. Sprache: Englisch.
gebunden , 280 Seiten
ISBN 3032048737
EAN 9783032048738
Veröffentlicht 7. November 2025
Verlag/Hersteller Springer-Verlag GmbH
106,99 inkl. MwSt.
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Beschreibung

This book illustrates how the structural information content in polarized vibrational spectra can be extracted to provide access to the organization of molecules in materials. It uniquely integrates programming concepts and complete code examples with a discussion of the spectroscopy and data analysis. It will also be of interest to those performing molecular simulations that wish to extract parameters of interest to experimentalists, including modeling of the vibrational spectra. Topics revolve around three techniques: polarized infrared absorption spectroscopy (including internal & external reflection, ATR-IR), polarized Raman scattering, and nonlinear visible-IR sum-frequency generation. Although the basics of the hardware are mentioned, the emphasis is on quantitative analysis of the spectral data for elucidation of the molecular structure in terms of molecular orientation and conformation. The underlying motivation is to demonstrate a complete and consistent framework that may be applied in a stepwise and logical manner to the results of each experiment. The goal is not only to illustrate quantitative structural analysis within each technique, but also to encourage development across the techniques.

Portrait

Dennis Hore is a Professor in the Departments of Chemistry and Computer Science at the University of Victoria, Canada. He is also a Collaborating Scientist at the Canadian Institute for Substance Use Research, and a Research Affiliate at Island Health. Dr. Hore specializes in developing custom spectroscopy solutions that include hardware and dedicated software. He has more than 25 years of experience in the design and construction of spectrometers in the visible, near-infrared, and mid-infrared regions, and is particularly interested in the analysis of large, multivariate datasets.

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