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An Intuitively Understandable Quality Measure for Theoretical Vibrational Spectra

Henning Henschel, David van der Spoel

2020The Journal of Physical Chemistry Letters22 citationsDOIOpen Access PDF

Abstract

Computational chemistry has become a central tool in spectroscopic studies in most of chemical science. The quality of a calculated vibrational spectrum is commonly expressed as the deviation of the peak position from the experimental reference. With the increasing application of vibrational spectroscopy to complex (biological) systems, this is likely not sustainable. Here we present a quality measure for theoretical vibrational spectra based on matching the spectra to a reference database with the help of correlation coefficients. This approach can easily be applied to large sets of data and complex spectra without easily identifiable peak positions. We demonstrate this on a database of infrared spectra of 670 compounds using six different theoretical (DFT and force field) methods. Most importantly, it is intuitively understandable by both theoreticians and experimentalists.

Topics & Concepts

Measure (data warehouse)Spectral lineInfrared spectroscopyQuality (philosophy)Matching (statistics)Two-dimensional infrared spectroscopyForce field (fiction)Computer scienceField (mathematics)Position (finance)InfraredStatistical physicsChemistryPhysicsData miningMathematicsArtificial intelligenceOpticsStatisticsQuantum mechanicsEconomicsPure mathematicsFinanceSpectroscopy and Chemometric AnalysesSpectroscopy and Quantum Chemical StudiesMolecular spectroscopy and chirality
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