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Kudi: A free open-source python library for the analysis of properties along reaction paths
1Nucleus Millennium Chemical Processes and Catalysis; Laboratorio de Química Teórica Computacional (QTC), Departamento de Química-Física, Facultad de Química, Pontificia Universidad Católica de Chile, Av. Vicuña Mackenna 4860, Macul, Santiago, 9900087, Chile. savogt@uc.cl.
Journal of Molecular Modeling
|April 25, 2016
Summary
Kudi is a new open-source computational chemistry tool designed to extract chemical properties from reaction paths. This library simplifies data analysis for computational chemistry, making complex data more accessible.
Area of Science:
- Computational Chemistry
- Data Science
Background:
- Computational chemistry generates vast amounts of data.
- Existing tools may not efficiently extract chemically relevant information.
Purpose of the Study:
- Introduce Kudi, an open-source library for extracting chemical properties from reaction paths.
- Demonstrate Kudi's utility with a case study on formic acid tautomerization.
Main Methods:
- Developed Kudi as an open-source Python library.
- Designed Kudi for ease of use and extensibility with quantum chemistry packages.
- Applied Kudi to analyze the tautomerization reaction of formic acid.
Main Results:
- Kudi successfully extracts chemical properties from reaction path data.
- The library's straightforward design facilitates user interaction and extension.
- The formic acid tautomerization case study showcases Kudi's practical application.
Conclusions:
- Kudi provides an effective solution for processing and extracting valuable chemical information from computational chemistry data.
- The library's open-source nature and flexible design promote wider adoption and further development in computational chemistry research.
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