The redox potential is a powerful thermodynamic and kinetic tool used to predict numerous chemical and biochemical mechanisms. However, despite the improving predictive power of density functional theory (DFT), chemically accurate theoretical redox potentials are often difficult to achieve with DFT. For example, calculated redox potentials are sensitive to density functional choice and often fall short of the desired accuracy. Thus, ranges of errors for computed redox potentials between different density functionals can become quite large. The current study presents a cost-effective protocol that utilizes effective error cancellation schemes in order to accurately predict the redox potentials of a wide range of organic molecules. This computational protocol, called CBH-Redox, is an extension of the connectivity-based hierarchy (CBH) method, and produces thermochemical data with near-G4 accuracy. Herein, we test the CBH-Redox protocol against both experimental and G4 reference values and compare these results to DFT alone. Considering 46 C, O, N, F, Cl, and S atom-containing molecules, when using the CBH-Redox correction scheme, the MAEs for all eight density functionals tested are within the 0.09 V target accuracy versus both experiment and G4. Moreover, CBH-Redox achieves an impressive accuracy, with a MAE of 0.05 V or below when compared to G4 for six of the eight density functionals tested. In addition, when the CBH correction is applied, the error range across all functionals tested decreases from 0.12 V to about 0.05 V versus G4, and from 0.13 V to 0.04 V versus experiment.
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Extensive High-Accuracy Thermochemistry and Group Additivity Values for Automated Generation of Halocarbon Combustion Models
Standard enthalpies, entropies, and heat capacities are calculated for more than 14,000 halogenated species using a high-fidelity automated thermochemistry workflow. This workflow generates conformers at density functional tight binding (DFTB) level, optimizes geometries, calculates harmonic frequencies, and performs 1D hindered rotor scans at DFT level, and computes electronic energies at G4 level. The computed enthalpies of formation for 400 molecules show good agreement with literature references, but the majority of the calculated species have no reference in the literature. Thus, this work presents the most accurate thermochemistry for many halogenated hydrocarbons to date. This new dataset is used to train an extensive ensemble of group additivity values (GAV) and hydrogen bond increment groups (HBI) within the Reaction Mechanism Generator (RMG) framework. On average, the new group values estimate standard enthalpies for halogenated hydrocarbons within 3 kcal/mol of their G4 values. To demonstrate the significance of RMG’s improved halogen thermochemistry, a model for C3H2F3Br (2-BTP) is generated, and flame speeds are compared to a literature mechanism. A significant contribution towards the automation of detailed modeling of halogenated hydrocarbon combustion, this research provides thermochemical data for thousands of novel halogenated species and presents a comprehensive set of halogen group additivity values.
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- Award ID(s):
- 1751720
- PAR ID:
- 10259941
- Date Published:
- Journal Name:
- 12th U.S. National Combustion Meeting
- Page Range / eLocation ID:
- 2A03
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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