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The Python package for the composite uFJC (cuFJC) model. This package corresponds to the cuFJC model derived in "A statistical mechanics framework for polymer chain scission, based on the concepts of distorted bond potential and asymptotic matching" by Jason Mulderrig, Brandon Talamini, and Nikolaos Bouklas, 2023.

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jasonmulderrig/cuFJC

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cuFJC

build pyversions pypi license zenodo

The Python package for the composite uFJC (cuFJC) model.

Installation

This package can be installed using pip via the Python Package Index (PyPI),

pip install cufjc

Alternatively, a branch can be directly installed using

pip install git+https://github.com/jasonmulderrig/cuFJC.git@<branch-name>

or after cloning a branch, moving to the main project directory (where the setup and configuration files are located), and executing pip install -e . for an editable installation or pip install . for a standard installation.

Information

Citation

Jason Mulderrig, Brandon Talamini, and Nikolaos Bouklas, cufjc: the Python package for the composite uFJC (cuFJC) model, Zenodo (2024).

Jason Mulderrig, Brandon Talamini, and Nikolaos Bouklas, A statistical mechanics framework for polymer chain scission, based on the concepts of distorted bond potential and asymptotic matching, Journal of the Mechanics and Physics of Solids 174, 105244 (2023).

About

The Python package for the composite uFJC (cuFJC) model. This package corresponds to the cuFJC model derived in "A statistical mechanics framework for polymer chain scission, based on the concepts of distorted bond potential and asymptotic matching" by Jason Mulderrig, Brandon Talamini, and Nikolaos Bouklas, 2023.

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