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

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

ACS Omega

AICES Graduate School, Rheinisch-Westfälische Technische Hochschule Aachen, Schinkelstr. 2, D-52062 Aachen, Germany.

Published: July 2018

() can be calculated either from the Rice-Ramsperger-Kassel-Marcus theory or by inverting macroscopic rate constants (). Here, we elaborate the inverse Laplace transform approach for () reconstruction by examining the impact of () data fitting accuracy. For this approach, any inaccuracy in the reconstructed () results from inaccurate/incomplete () description. Therefore, we demonstrate how an improved mathematical description of () data leads to accurate () data. Refitting inaccurate/incomplete (), hence, allows for recapturing () information that yields more accurate () reconstructions. The present work suggests that accurate representation of experimental and theoretical () data in a broad temperature range could be used to obtain (,). Thus, purely temperature-dependent kinetic models could be converted into fully temperature- and pressure-dependent kinetic models.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6644344PMC
http://dx.doi.org/10.1021/acsomega.8b00311DOI Listing

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