pyRheo
Computing Applications (HPC) GPL-3.0 (Free)
About
Linear viscoelasticity modeling with fractional rheology. Fits creep compliance, stress relaxation, small amplitude oscillatory shear (SAOS), and steady shear flow data for viscoelastic materials.
Skills
MCP skills available for pyRheo, callable from AI workflows and the Paramus chat:
- Capabilities — Get available pyRheo capabilities for rheology data fitting
- Info — Get pyRheo package information including version and available features
- Methods — List all available pyRheo RPC methods
- Models — Get available rheological models organized by category (relaxation, creep, SAOS, steady shear)
- Version — Get pyRheo version information
Browse the full pyRheo skill documentation
Citation
Mirandez, I. et al. pyRheo: An open-source Python package for fractional rheology modeling (2024).
Frequently Asked Questions
What is pyRheo?
pyRheo is a computing applications (hpc) application available in the Paramus App Store. Linear viscoelasticity modeling with fractional rheology. Fits creep compliance, stress relaxation, small amplitude oscillatory shear (SAOS), and steady shear flow data for viscoelastic materials.
Is pyRheo free to use?
Yes. pyRheo is distributed under the GPL-3.0 (Free) license and is available at no cost through the Paramus App Store.
How do I install pyRheo?
pyRheo is installed through Paramus Chemistry OS, an on-premise Windows platform for computational chemistry. Open the Paramus App Store in your local installation and select pyRheo for one-click deployment.
What type of application is pyRheo?
pyRheo belongs to the “Computing Applications (HPC)” category in the Paramus App Store. It runs on Paramus Chemistry OS and can also be accessed through Paramus Cloud for supported workflows.
What platform does pyRheo run on?
pyRheo runs on Paramus Chemistry OS, a Windows-based on-premise platform that provides local compute power for demanding simulations. It requires a Paramus OS installation with appropriate hardware resources.
Can pyRheo be automated or integrated with AI workflows?
Yes. pyRheo is available as part of the Paramus ecosystem which supports MCP (Model Context Protocol) tools for AI-driven automation. This enables integration with large language models and automated research pipelines.
How should I cite pyRheo in publications?
The recommended citation for pyRheo is: Mirandez, I. et al. pyRheo: An open-source Python package for fractional rheology modeling (2024).