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Record W2996729944 · doi:10.1021/acs.jced.9b00927

Prediction of Alkanolamine p <i>K</i> <sub>a</sub> Values by Combined Molecular Dynamics Free Energy Simulations and ab Initio Calculations

2019· article· en· W2996729944 on OpenAlexafffund
Javad Noroozi, William R. Smith

Bibliographic record

VenueJournal of Chemical & Engineering Data · 2019
Typearticle
Languageen
FieldChemistry
TopicFree Radicals and Antioxidants
Canadian institutionsUniversity of GuelphOntario Tech UniversityUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of CanadaAgence Nationale de la Recherche
KeywordsAlkanolamineMolecular dynamicsAb initioComputational chemistryEnergy (signal processing)Statistical physicsAb initio quantum chemistry methodsTotal energyThermodynamicsChemistryPhysical chemistryPhysicsMoleculeQuantum mechanicsAqueous solutionPsychology

Abstract

fetched live from OpenAlex

Knowledge of aqueous protonation constants (pKa) of chemical species is of significant importance in CO2 reactive absorption system design. Their theoretical prediction has mainly relied on implicit solvent models, and the performance of explicit solvent simulations based on classical force fields have rarely been studied. In this paper, we report the results of simulations in explicit TIP3P water with the General Amber Force Field (GAFF) and with the SMD continuum solvent method for the deprotonation pKa values of 29 conformationally diverse alkanolamine species commonly used in CO2 capture. In both cases, we employ the Tissandier value for the hydration free energy of the proton (“The proton’s absolute aqueous enthalpy and Gibbs free energy of solvation from cluster–ion solvation data”, Tissandier, M.D. et al., J. Phys. Chem. A, 1998, 102, 7787–7794). The ideal–gas reaction free energies and their uncertainties were obtained from electronic structure calculations using five different compound methods (CBS-QB3, CBS-APNO, G3, G3B3, G4). The hydration free energies of the neutral and protonated forms of the alkanolamines were calculated using the semiempirical AM1-BCC charge method, in addition to several partial atomic charge sets based on the RESP fitting method using electrostatic potentials computed at different ab initio theory/levels in the gas phase as well as in the presence of the solvent reaction field. We incorporated the Galvani surface potential of the ions in the (pKa) calculations. Although the individual species hydration free energies show significant sensitivity to the charge model, the resulting pKa values from different charge models are quite similar. Moreover, we found that the protonated amine hydration free energies show slightly less sensitivity to the partial charge method than in the case of the neutral amine. While the predicted pKa values based on the RESP charges yield reasonable agreement with the experimental data, they are prone to occasional disagreement for molecules of complex geometry. The best performance was achieved using the semiempirical AM1-BCC charges, which showed a mean absolute error of less than 0.73 pKa units in comparison with experimental data. Our results suggest that the AM1-BCC charge method may be used to model electrolyte solutions encountered in the CO2 reactive absorption process.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.321
Threshold uncertainty score0.582

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.008
GPT teacher head0.196
Teacher spread0.188 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations12
Published2019
Admission routes2
Has abstractyes

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