These are preliminary reports that have not been peer-reviewed. They should not be regarded as conclusive, guide clinical practice/health-related behavior, or be reported in news media as established information. For more information, please see our FAQs.
Preprints are manuscripts made publicly available before they have been submitted for formal peer review and publication. They might contain new research findings or data. Preprints can be a draft or final version of an author's research but must not have been accepted for publication at the time of submission.
submitted on 01.05.2019 and posted on 03.05.2019by Mark Iron, Jonathan Gropp
With an eye towards applications in environmental sciences, the factors impacting the accuracy of calculating equilibrium isotopic fractionation α are considered. α is calculated from the reduced partition function relation β via the vibrational frequencies. Density-fitting (DF, or resolution of the identity – RI) is a popular tool to help reduce the cost of DFT energy calculations, and its impact on the accuracy of calculating vibration frequencies was determined to be negligible provided one uses a sufficiently large auxiliary density-fitting basis set. Using a set of high-accuracy fractionations for a series of small molecules, the accuracy of several density-functional theory (DFT) exchange–correlation functionals in calculating β was considered. Based on these results, a selection of functionals was tested against two benchmark databases of isotopic fractionations that were generated, one for D/H fractionation (HEIF11) and one for heavy-atom fractionation (CNOEIF35). It was found that, with the def2-TZVP basis set, O3LYP had the lowest mean absolute deviation (21‰ and 3.9‰, respectively), but the GGA/meta-GGA functionals τHCTHD3BJ, τHCTH and HCTH have almost similar performances (22‰ and 4.1‰, respectively, for τHCTHD3BJ). In this work we provide a roadmap to predict for equilibrium isotopic fractionations of large organic molecules, and constrain their potential uncertainties.