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ZENODO
Software . 2021
License: CC BY
Data sources: ZENODO
ZENODO
Software . 2021
License: CC BY
Data sources: Datacite
ZENODO
Software . 2021
License: CC BY
Data sources: Datacite
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particleShear: Discrete Python particle simulation with digital rheology and stress tensor evaluation

Authors: Thomas Braschler;

particleShear: Discrete Python particle simulation with digital rheology and stress tensor evaluation

Abstract

particleShear: Python package for particle shear simulation This package provides a discrete particle simulation kit for having multiple spheres interacting. The spheres (i.e. 2D circles) interact by mutual elastic repulsion and tangential friction upon contact, but can also be crosslinked together. In addition to the elementary implementation of the interacting particles, it is also possible to define rheological experiments where the spheres are exposed to sinusoidally varying displacement conditions on the boundaries. We paid particular attention to avoid pitfalls that generate asymmetric stress tensors. Contributions: Joe Brefie-Guth and Fabien Bonini tested and improved the package; Daniel Lyobenov contributed to the setup of the python package and class inheritance structure. Thomas Braschler wrote moste of the code. This repository archives the releases of the source code hosted at https://github.com/tbgitoo/particleShear. The package is available through the Python package server (see https://pypi.org/project/particleShear/1.0.2/). It can be installed automatically in python via pip3 install particleShear In some installations, the command may also be pip install particleShear; the minimal version of Python is 3.5 This Python package was used to simulate shear rheological properties for particle assemblies with various theoretical model friction, compression and connectivity properties for the publication "An Injectable MetaBiomaterial: From Design and Simulation ot In Vivo Shaping and Tissue Inducation", by A. Béduer, F.Bonini, C. Verheyen et al. (DOI: 10.1002/adma.202102350). Usage examples can be found in the associated CodeOcean reproducible evaluation capsule (DOI: 10.24433/CO.6934377.v1: in the capsule, demo simulations are provided in the folder /code/Simulation demo). 

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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
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influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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