2025 AIChE Annual Meeting

(9c) Enabling Reproducible Research in Soft Materials with the Multiscale Polymer Toolkit (MuPT)

Authors

Salman Bin Kashif, Clemson University
Sirsha Ganguly, University of Florida
Janitha Mahanthe, Stevens Institute of Technology
Stephanie McCallum, Boise State University
Naomi Trampe, University of Minnesota Twin Cities
Jacob Gissinger, University of Colorado-Boulder
Eric Jankowski, Boise State University
Janani Sampath, University of Florida
Sapna Sarupria, University of Minnesota, Twin Cities
Michael Shirts, University of Colorado Boulder
The Multiscale Polymer Toolkit (MuPT) is an expanding suite of Python software libraries and community recipes, built on top of an ecosystem of previously funded open-source tools, deigned to enable reproducible and extensible computational research on reacting polymer materials from Angström to micron length scales. MuPT aims to deliver: (a) A multiscale, internal software representation for polymers that enables data conversion between major simulation engines at the same resolution scale, and tools for conversion between coarse-grained and higher resolution representations; (b) An interface for this representation that allows researchers to plug in existing software tools for polymer parameterization and system building; (c) A workflow interface that allows linking of existing software tools and enables users to programmatically generate simulation inputs by specifying the simulation engine, chemistries, reaction models, and molecular representations; (d) A searchable repository of community-vetted polymer simulation workflows, initially seeded and maintained by the principal investigators of the grant; (e) Documentation for best practice in polymer modeling with examples using MuPT libraries; (f) Improved materials and recommendations for training research software engineers.

In this talk, we describe the development of MuPT so far, demonstrate the initial MuPT tools for initializing and analyzing a range of different polymer systems, and discuss collaboration opportunities for other researchers interested in building reproducible and extensible polymer simulation infrastructure.