journal article·2020-04-02

Comparison of Exponential and Biexponential Models of the Unimolecular Decomposition Probability for the Hinshelwood–Lindemann Mechanism

Philip W. Smith, Bhumika Jayee, William L. Hase

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Abstract

The traditional understanding is that the Hinshelwood–Lindemann mechanism for thermal unimolecular reactions, and the resulting unimolecular rate constant versus temperature and collision frequency ω (i.e., pressure), requires the Rice–Ramsperger–Kassel–Marcus (RRKM) rate constant k ( E ) to represent the unimolecular reaction of the excited molecule versus energy. RRKM theory assumes an exponential N ( t )/ N (0) population for the excited molecule versus time, with decay given by RRKM microcanonical k ( E ), and agreement between experimental and Hinshelwood–Lindemann thermal kinetics is then deemed to identify the unimolecular reactant as a RRKM molecule. However, recent calculations of the Hinshelwood–Lindemann rate constant k uni (ω, E ) has brought this assumption into question. It was found that a biexponential N ( t )/ N (0), for intrinsic non-RRKM dynamics, gives a Hinshelwood–Lindemann k uni (ω, E ) curve very similar to that of RRKM theory, which assumes exponential dynamics. The RRKM k uni (ω, E ) curve was brought into agreement with the biexponential k uni (ω, E ) by multiplying ω in the RRKM expression for k uni (ω, E ) by an energy transfer efficiency factor β c . Such scaling is often done in fitting Hinshelwood–Lindemann–RRKM thermal kinetics to experiment. This agreement between the RRKM and non-RRKM curves for k uni (ω, E ) was only obtained previously by scaling and fitting. In the work presented here, it is shown that if ω in the RRKM k uni (ω, E ) is scaled by a β c factor there is analytic agreement with the non-RRKM k uni (ω, E ). The expression for the value of β c is derived.
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Research context

OpenAlex topics: Advanced Thermodynamics and Statistical Mechanics · Chemical Thermodynamics and Molecular Structure · Chemistry and Stereochemistry Studies

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Affiliations

Department of Mathematics and Statistics, Texas Tech University Lubbock, Texas 79409, United States

Department of Chemistry and Biochemistry, Texas Tech University Lubbock, Texas 79409, United States

Funding

Welch Foundation · Air Force Office of Scientific Research

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Show source-provided references
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