GoodVibes: automated thermochemistry for heterogeneous computational chemistry data

By Guilian Luchini, J. Alegre‐Requena, Ignacio Funes‐Ardoiz, Robert S Paton. F1000Research, 2020

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GoodVibes is an open-source Python toolkit for processing the results of quantum chemical calculations. Thermochemical data are not simply parsed, but evaluated by evaluation of translational, rotational, vibrational and electronic partition functions. Changes in concentration, pressure, and temperature can be applied, and deficiencies in the rigid rotor harmonic oscillator treatment can be corrected. Vibrational scaling factors can also be applied by automatic detection of the level of theory and basis set. Absolute and relative thermochemical values are output to text and graphical plots in seconds. GoodVibes provides a transparent and reproducible way to process raw computational data into publication-quality tables and figures without the use of spreadsheets.

Subfields: Atomic and Molecular Physics, and Optics, Catalysis, Physical and Theoretical Chemistry

View Paper: https://www.semanticscholar.org/paper/760bab63c1c3e31a06bc103b80b20e0e01259635