An open-source C++ implementation of the Material Point Method (MPM) with elasto-viscoplastic rheologies, specifically designed to model the mechanics and flow of granular matter.
RHEOS - Open Source Rheology data analysis software
RepTate (Rheology of Entangled Polymers: Toolkit for Analysis of Theory & Experiment)
Segment/Trace the short fibes filled in the polymer matrix from the CT 3D volume data
🔗Accessible quantitative polymer rheology predictions with slip-links on GPU
Rheological data treatment
Python rheology toolbox
[Research Article] Machine learning-based prediction and optimisation framework for as-extruded cell viability in extrusion-based 3D bioprinting
pyGMS: lithosphere-scale rheological analyses of GMS models in Python
OSR-Tool is a web-based platform for processing and analyzing oscillatory shear rheology data. It enables experimental rheologists and specialists in computational or simulated oscillatory shear to extract key rheological parameters—such as G', G'', and more than 20 other metrics—from time–strain–stress data.
[Research Article] Generative AI-guided in silico closed-loop optimisation of deposition morphology for 3D bioprinting applications
This repository contains R scripts for Bayesian inference applied to evaluate the best-fit parameters for ice flow laws. It supports the paper: Sheng Fan et al. (2025). "Flow laws for ice constrained by 70 years of laboratory experiments". Nature Geoscience DOI: 10.1038/s41561-025-01661-z
A main executable (main_antonpaar.py) containing Python data classes that describe different modes of deformation (strain or stress-controlled amplitude sweeps, frequency sweeps), calculates various material measures and plots them with helper functions from rheofuncs.py. Also an assortment of auxiliary files for plotting summarized and averaged…
[Research Article] AI-powered printability evaluation framework for 3D bioprinting using Hausdorff distance metrics
Introductory guides to the RHEOS Documentation, Testing and Versioning procedures
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