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"Transitivity": A Code for Computing Kinetic and Related Parameters in Chemical Transformations and Transport
Hugo G Machado1,2, Flávio O Sanches-Neto3,4, Nayara D Coutinho5
1Grupo de Química Teórica e Estrutural de Anápolis, Centro de Pesquisa e Pós-Graduação. Universidade Estadual de Goiás, 75132-400 Anápolis, GO, Brazil. hugogontijomachado@gmail.com.
This study introduces the Transitivity code, a Python-based tool for analyzing reaction kinetics. It helps estimate kinetic parameters and models non-Arrhenius behavior, particularly at low temperatures.
Area of Science:
- Physical Chemistry
- Computational Chemistry
- Chemical Kinetics
Background:
- The Arrhenius law is a cornerstone of chemical kinetics but has limitations at low temperatures.
- Understanding reaction propensity and implementing phenomenological kinetic models requires accurate parameter estimation.
- Deviations from Arrhenius behavior at low temperatures necessitate advanced analytical tools.
Purpose of the Study:
- To introduce the Transitivity code, a user-friendly graphical interface for estimating kinetic and thermodynamic parameters.
- To provide a tool for evaluating the temperature dependence of rate constants using Arrhenius and Transitivity plots.
- To facilitate the study of non-Arrhenius behavior at low temperatures, a critical area of current research.
Main Methods:
- Development of a Python-based, open-source code named Transitivity.
- Implementation of the Transitivity function to measure reaction propensity.
- Integration of Transition-State Theory with various tunneling corrections (Bell, Skodje, Truhlar, d-TST).
- Inclusion of Kramers and Collins-Kimball formulations to account for solvent effects.
- Provision of an input file generator for molecular dynamics simulations (CPMD).
Main Results:
- The Transitivity code offers a graphical interface for analyzing kinetic and thermodynamic parameters.
- It enables evaluation of rate constant temperature dependence via Arrhenius and Transitivity plots.
- The code effectively utilizes deformed Transition-State Theory (d-TST) formulations to address non-Arrhenius behavior.
- It supports calculations incorporating solvent effects and molecular dynamics inputs.
Conclusions:
- The Transitivity code is a versatile, cross-platform tool for kinetic and thermodynamic analysis.
- Its strength lies in its ability to handle non-Arrhenius behavior at low temperatures using d-TST.
- The code serves as a practical tool for data documentation from electronic structure calculations and as educational courseware.
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