goChem: A Composable Library for Multi-Scale Computational Chemistry Data Analysis

Dominguez M.; Jimenez, VA; Savasci G.; Araya-Osorio, R; Pesonen, J; Mera-Adasme R.

Keywords: molecular dynamics, software, data analysis, computational chemistry

Abstract

Data analysis is a major task for Computational Chemists. The diversity of modeling tools currently available in Computational Chemistry requires the development of flexible analysis tools that can adapt to different systems and output formats. As a contribution to this need, we report the implementation of goChem, a versatile open-source library for multiscale analysis of computational chemistry data. The library, written in and for the Go programming language, allows for easy integration of different levels of theory, in an easy-to-use API, allowing the development of both one-use and complex analysis programs in Go. We describe the library and detail some selected applications that illustrate the capabilities and potential of this tool. The library is available at http://gochem.org. © 2025 Wiley Periodicals LLC.

Más información

Título según WOS: goChem: A Composable Library for Multi-Scale Computational Chemistry Data Analysis
Título según SCOPUS: goChem: A Composable Library for Multi-Scale Computational Chemistry Data Analysis
Título de la Revista: Journal of Computational Chemistry
Volumen: 46
Número: 2
Editorial: John Wiley and Sons Inc.
Fecha de publicación: 2025
Idioma: English
DOI:

10.1002/jcc.70004

Notas: ISI, SCOPUS