Q-Chem Webinar 66: Decoding chemical information from vibrational spectroscopy data (Local vibrational mode theory)

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The local vibrational mode theory originally introduced by Konkoli and Cremer has becomes over the past years a versatile tool for the characterization of chemical bonding and/or weak chemical interactions. Local mode stretching force constants are a unique measure of the intrinsic bond strength in contrast to normal mode stretching force constants, which suffer from the fact that normal vibrational modes are generally delocalized in polyatomic systems. Local and normal vibrational modes are linked through an adiabatic connection scheme, which has led to a new comprehensive analysis of IR/Raman spectra via the decomposition of normal modes into local mode contributions.
After a short introduction of the theoretical background, we will present some recent examples stretching from long covalent CC bonds, metal-ligand bonding in sandwich complexes to bonding in ruthenium releasing nitrile drugs, followed by an application of the normal mode decomposition procedure, and a short introduction of local modes applied to periodic systems and crystals. Finally, we will present the open-source local mode program LModeA, which can easily be applied after a routine quantum chemical calculation of vibrational frequencies but also to measured vibrational frequencies, with moderate computational costs.

About The Presenters: Elfi Kraka and Marek Freindorf
Dr. Elfi Kraka is a Professor and Chair of the Department Of Chemistry at Southern Methodist University (SMU). Her work involves both applications and development of novel methods, and her research interests currently include artificial intelligence, vibrational spectroscopy, catalysis, materials, and drug design.
Dr. Marek Freindorf holds a Research Professor position in the Chemistry Department of SMU. He has authored about 60 papers involving theoretical molecular spectroscopy, computations of homogeneous catalysis with transition metals, and QM/MM calculations of DNA and protein active sites.