KiMoPack - Do more than just Sum of Exponential Analysis.

2022-06-21 | Reading time: 5 min

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In chemical research and industry, understanding light-driven reactions is critical for developing design methods for photoactive molecules. Appropriate data analysis makes a significant contribution to this understanding. In this context, I proudly present our latest publication about KiMoPack: A python Package for Kinetic Modeling of the Chemical Mechanism.

Do more than just sum of exponential analysis;
use variable Kinetic Models to analyze your data.

Do more than promise;
deliver a user-friendly, open-source software Package.

KiMoPack is a powerful, python-based, open-source analysis tool that operates via Jupyter noteboooks and thus provides a powerful but easy-to-use interface for well-documented, flexible, and reproducible analysis (kinetic modeling) of time-resolved spectral data (e.g., transient absorption data).

In an input-, optimization-, as well as a collecting- and plotting routine, KiMoPack offers a comprehensive data analysis covering a wide variety of processing steps. KiMoPack has a basic and advanced optimization routine that allows for state-of-the-art global lifetime analysis (sum of exponentials), as well as target and advanced modelling (e.g. multi-experiment or distributed-rate model analysis). Thus, KiMoPack bridges the gap between data sets and data interpretation with its wide range of routines and ease of usage.