4 research outputs found

    Pressure-Dependent Rate Constant Predictions Utilizing the Inverse Laplace Transform: A Victim of Deficient Input Data

    No full text
    <i>k</i>(<i>E</i>) can be calculated either from the Riceā€“Ramspergerā€“Kasselā€“Marcus theory or by inverting macroscopic rate constants <i>k</i>(<i>T</i>). Here, we elaborate the inverse Laplace transform approach for <i>k</i>(<i>E</i>) reconstruction by examining the impact of <i>k</i>(<i>T</i>) data fitting accuracy. For this approach, any inaccuracy in the reconstructed <i>k</i>(<i>E</i>) results from inaccurate/incomplete <i>k</i>(<i>T</i>) description. Therefore, we demonstrate how an improved mathematical description of <i>k</i>(<i>T</i>) data leads to accurate <i>k</i>(<i>E</i>) data. Refitting inaccurate/incomplete <i>k</i>(<i>T</i>), hence, allows for recapturing <i>k</i>(<i>T</i>) information that yields more accurate <i>k</i>(<i>E</i>) reconstructions. The present work suggests that accurate representation of experimental and theoretical <i>k</i>(<i>T</i>) data in a broad temperature range could be used to obtain <i>k</i>(<i>T</i>,<i>p</i>). Thus, purely temperature-dependent kinetic models could be converted into fully temperature- and pressure-dependent kinetic models

    Pressure-Dependent Rate Constant Predictions Utilizing the Inverse Laplace Transform: A Victim of Deficient Input Data

    No full text
    <i>k</i>(<i>E</i>) can be calculated either from the Riceā€“Ramspergerā€“Kasselā€“Marcus theory or by inverting macroscopic rate constants <i>k</i>(<i>T</i>). Here, we elaborate the inverse Laplace transform approach for <i>k</i>(<i>E</i>) reconstruction by examining the impact of <i>k</i>(<i>T</i>) data fitting accuracy. For this approach, any inaccuracy in the reconstructed <i>k</i>(<i>E</i>) results from inaccurate/incomplete <i>k</i>(<i>T</i>) description. Therefore, we demonstrate how an improved mathematical description of <i>k</i>(<i>T</i>) data leads to accurate <i>k</i>(<i>E</i>) data. Refitting inaccurate/incomplete <i>k</i>(<i>T</i>), hence, allows for recapturing <i>k</i>(<i>T</i>) information that yields more accurate <i>k</i>(<i>E</i>) reconstructions. The present work suggests that accurate representation of experimental and theoretical <i>k</i>(<i>T</i>) data in a broad temperature range could be used to obtain <i>k</i>(<i>T</i>,<i>p</i>). Thus, purely temperature-dependent kinetic models could be converted into fully temperature- and pressure-dependent kinetic models

    Pressure-Dependent Rate Constant Predictions Utilizing the Inverse Laplace Transform: A Victim of Deficient Input Data

    No full text
    <i>k</i>(<i>E</i>) can be calculated either from the Riceā€“Ramspergerā€“Kasselā€“Marcus theory or by inverting macroscopic rate constants <i>k</i>(<i>T</i>). Here, we elaborate the inverse Laplace transform approach for <i>k</i>(<i>E</i>) reconstruction by examining the impact of <i>k</i>(<i>T</i>) data fitting accuracy. For this approach, any inaccuracy in the reconstructed <i>k</i>(<i>E</i>) results from inaccurate/incomplete <i>k</i>(<i>T</i>) description. Therefore, we demonstrate how an improved mathematical description of <i>k</i>(<i>T</i>) data leads to accurate <i>k</i>(<i>E</i>) data. Refitting inaccurate/incomplete <i>k</i>(<i>T</i>), hence, allows for recapturing <i>k</i>(<i>T</i>) information that yields more accurate <i>k</i>(<i>E</i>) reconstructions. The present work suggests that accurate representation of experimental and theoretical <i>k</i>(<i>T</i>) data in a broad temperature range could be used to obtain <i>k</i>(<i>T</i>,<i>p</i>). Thus, purely temperature-dependent kinetic models could be converted into fully temperature- and pressure-dependent kinetic models

    Carbene Formation in Ionic Liquids: Spontaneous, Induced, or Prohibited?

    No full text
    We present a theoretical study of carbene formation from the 1-ethyl-3-methylimidazolium acetate ionic liquid in the absence and presence of CO<sub>2</sub> in gas and liquid phase. Although CO<sub>2</sub> physisorption constitutes a precursory step of chemisorption (the CO<sub>2</sub>ā€™s reaction with carbenes, which forms from cations via proton abstraction by anions), it also enables a very stable CO<sub>2</sub>ā€“anion associate. However, this counteracts the chemical absorption by reducing the basicity of the anion and the electrophilicity of the CO<sub>2</sub>, which is reflected by charge transfer. Accordingly, the observable carbene formation in the gas phase is hindered in the presence of CO<sub>2</sub>. In the neat liquid, the carbene formation is also suppressed by the charge screening compared to the case of the gas phase; nevertheless, indications for carbene incidents appear. Interestingly, in the CO<sub>2</sub>-containing liquid we detect more carbene-like incidents than in the neat one, which is caused by the way CO<sub>2</sub> is solvated. Despite the weakness of the CO<sub>2</sub>ā€“cation interaction, the CO<sub>2</sub>ā€“anion associate is distorted by cations, which can be seen in longer associate distances and reduced ā€œbindingā€ energies. While the single solvating anion is shifted away from CO<sub>2</sub>, many more solvating cations approach it compared to the case of the gas phase. This leads to the conclusion that while the ionic liquid effect stabilizes charged species, introducing neutral species such as CO<sub>2</sub> provides an opposite trend, leading to an inverse ionic liquid effect with the facilitation of carbene formation and thus of chemical absorption
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