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MoSDeF-GOMC: Python Software for the Creation of Scientific Workflows for the Monte Carlo Simulation Engine GOMC

Brad Crawford, Umesh Timalsina, Co D. Quach, Nicholas C. Craven, Justin Gilmer, Clare McCabe, Peter T. Cummings, Jeffrey J. Potoff

2023Journal of Chemical Information and Modeling13 citationsDOI

Abstract

MoSDeF-GOMC is a python interface for the Monte Carlo software GOMC to the Molecular Simulation Design Framework (MoSDeF) ecosystem. MoSDeF-GOMC automates the process of generating initial coordinates, assigning force field parameters, and writing coordinate (PDB), connectivity (PSF), force field parameter, and simulation control files. The software lowers entry barriers for novice users while allowing advanced users to create complex workflows that encapsulate simulation setup, execution, and data analysis in a single script. All relevant simulation parameters are encoded within the workflow, ensuring reproducible simulations. MoSDeF-GOMC’s capabilities are illustrated through a number of examples, including prediction of the adsorption isotherm for CO 2 in IRMOF-1, free energies of hydration for neon and radon over a broad temperature range, and the vapor–liquid coexistence curve of a four-component surrogate for the jet fuel S-8. The MoSDeF-GOMC software is available on GitHub at https://github.com/GOMC-WSU/MoSDeF-GOMC .

Topics & Concepts

Python (programming language)WorkflowComputer scienceMonte Carlo methodSoftwareSoftware engineeringProgramming languageDatabaseMathematicsStatisticsMachine Learning in Materials ScienceScientific Computing and Data ManagementComputational Physics and Python Applications
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