Müller C, Pascher T, Eriksson A, Chabera P, Uhlig J. KiMoPack: A python Package for Kinetic Modeling of the Chemical Mechanism.
J Phys Chem A 2022;
126:4087-4099. [PMID:
35700393 PMCID:
PMC9251768 DOI:
10.1021/acs.jpca.2c00907]
[Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/28/2022]
Abstract
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Herein, we present
KiMoPack, an analysis tool for the kinetic modeling of transient spectroscopic data. KiMoPack
enables a state-of-the-art analysis routine including data preprocessing
and standard fitting (global analysis), as well as fitting of complex
(target) kinetic models, interactive viewing of (fit) results, and
multiexperiment analysis via user accessible functions and a graphical
user interface (GUI) enhanced interface. To facilitate its use, this
paper guides the user through typical operations covering a wide range
of analysis tasks, establishes a typical workflow and is bridging
the gap between ease of use for less experienced users and introducing
the advanced interfaces for experienced users. KiMoPack is open source
and provides a comprehensive front-end for preprocessing, fitting
and plotting of 2-dimensional data that simplifies the access to a
powerful python-based data-processing system
and forms the foundation for a well documented, reliable, and reproducible
data analysis.
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