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• W2786192017 abstract "We applied the binary Quantum Cluster Equilibrium (bQCE) method to a number of alkylammonium-based protic ionic liquids in order to predict boiling points, vaporization enthalpies, and proton activities. The theory combines statistical thermodynamics of van-der-Waals-type clusters with ab initio quantum chemistry and yields the partition functions (and associated thermodynamic potentials) of binary mixtures over a wide range of thermodynamic phase points. Unlike conventional cluster approaches that are limited to the prediction of thermodynamic properties, dissociation reactions can be effortlessly included into the bQCE formalism, giving access to ionicities, as well. The method is open to quantum chemical methods at any level of theory, but combination with low-cost composite density functional theory methods and the proposed systematic approach to generate cluster sets provides a computationally inexpensive and mostly parameter-free way to predict such properties at good-to-excellent accuracy. Boiling points can be predicted within an accuracy of 50 K, reaching excellent accuracy for ethylammonium nitrate. Vaporization enthalpies are predicted within an accuracy of 20 kJ mol−1 and can be systematically interpreted on a molecular level. We present the first theoretical approach to predict proton activities in protic ionic liquids, with results fitting well into the experimentally observed correlation. Furthermore, enthalpies of vaporization were measured experimentally for some alkylammonium nitrates and an excellent linear correlation with vaporization enthalpies of their respective parent amines is observed." @default.
• W2786192017 created "2018-02-23" @default.
• W2786192017 creator A5004833154 @default.
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• W2786192017 date "2018-02-09" @default.
• W2786192017 modified "2023-10-16" @default.
• W2786192017 title "Thermodynamics and proton activities of protic ionic liquids with quantum cluster equilibrium theory" @default.
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• W2786192017 doi "https://doi.org/10.1063/1.5010791" @default.
• W2786192017 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/30307228" @default.
• W2786192017 hasPublicationYear "2018" @default.
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