2019
DOI: 10.1039/c9cp02975c
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Cost-effective density functional theory (DFT) calculations of equilibrium isotopic fractionation in large organic molecules

Abstract: The application of stable isotopes to large molecules is hindered by experimental and computational costs. Here, we describe a cost-effective computational framework for predicting equilibrium isotope effects and the associated uncertainties.

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Cited by 20 publications
(23 citation statements)
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“…However, there are more modern and cost-effective methods, such as M06-L (Zhao et al, 2006) or HCTH/407 (Boese & Handy, 2001), and until recently the accuracy of these and other functionals in predicting EFFs of large organic molecules has not been systematically compared. We recently conducted a thorough examination of various DFT functionals and basis sets to determine the uncertainty associated with the prediction of EFFs of H, C, N and O stable isotopes among large soluble organic molecules (Iron & Gropp, 2019). The mean unsigned error (MUE) of these calculations in predicting the hydrogen fractionation in the C α position of linear and cyclic ketones is 20.8‰, comparable to the results of Wang et al (2009a;.…”
Section: Calculating Equilibrium Fractionation Factorsmentioning
confidence: 86%
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“…However, there are more modern and cost-effective methods, such as M06-L (Zhao et al, 2006) or HCTH/407 (Boese & Handy, 2001), and until recently the accuracy of these and other functionals in predicting EFFs of large organic molecules has not been systematically compared. We recently conducted a thorough examination of various DFT functionals and basis sets to determine the uncertainty associated with the prediction of EFFs of H, C, N and O stable isotopes among large soluble organic molecules (Iron & Gropp, 2019). The mean unsigned error (MUE) of these calculations in predicting the hydrogen fractionation in the C α position of linear and cyclic ketones is 20.8‰, comparable to the results of Wang et al (2009a;.…”
Section: Calculating Equilibrium Fractionation Factorsmentioning
confidence: 86%
“…These theoretical predictions are invaluable in exploring isotope fractionation systematics where experimental data are lacking or hard to obtain (e.g., Rustad et al, 2008;Eldridge et al, 2016), such as for the intracellular components of biological production and oxidation of methane (methanogenesis and methanotrophy, respectively). Theoretical approaches, in particular density functional theory (DFT), have been widely applied to small molecules (Li & Liu, 2011;Fujii et al, 2014), and recently also to large organic molecules (Black et al, 2007;Rustad, 2009;Wang et al, 2009aWang et al, ,b, 2013Moynier & Fujii, 2017;Iron & Gropp, 2019) in the gas, aqueous and solid phases. The application of DFT is of special interest in methanogenesis and methanotrophy since these processes involve large organic molecules, which have received less attention than small molecules due to issues of calculation cost and accuracy (Iron & Gropp, 2019).…”
Section: Generalmentioning
confidence: 99%
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“…Second, a recent study evaluated the range in predictions of the bulk carbon isotope fractionation between CO2 and methane found that the models fell within 2‰ of the measurements from 300-1200°C (8). Finally, a recent study (9), has evaluated the factors that affect accuracy of calculated equilibrium isotope fractionations for carbon and hydrogen isotopes among a diverse range of organic compounds. The authors found that the deviation of the calculated isotopic value from the measured equilibrium value for B3LYP DFTs (which is also the DFT that we use in our study) averaged 4‰ for carbon isotopes and 30‰ for hydrogen isotopes at 25°C.…”
mentioning
confidence: 98%