PolyUniverse
AI Models MIT (Free)
About
Generates a large-scale polymer library via rule-based polymerization reactions and predicts polymer properties with pretrained DNN models on Multi-Fingerprint Features. Designed for polymer informatics and screening.
Skills
MCP skills available for PolyUniverse, callable from AI workflows and the Paramus chat:
- Acceptable Ranges — Return acceptable input ranges and constraints for PolyUniverse inputs.
- Capabilities — Return the PolyUniverse model capabilities and supported operations.
- Citation — Return the citation/reference for the PolyUniverse model.
- Generate — Generate a polymer network repeat unit from two monomers via a rule-based polymerization reaction (epoxy or vitrimer).
- History — Return the PolyUniverse call history.
- History Clear — Clear the PolyUniverse call history.
- Info — Return PolyUniverse model information and status.
- Kernel Shutdown — Shut down the PolyUniverse model kernel and release resources.
- Kernel Start — Start the PolyUniverse model kernel/container.
- Kernel Status — Return the PolyUniverse model kernel/container status.
- Kernel Stop — Stop the PolyUniverse model kernel/container.
- Methods — List all available PolyUniverse JSON-RPC methods.
- Metrics — Return PolyUniverse runtime metrics.
- Performance — Return PolyUniverse performance statistics.
- Predict — Predict thermal or mechanical properties of polymer SMILES using the multi-fingerprint DNN model.
- Properties — List the thermal and mechanical properties PolyUniverse predicts.
- Reactions — List the supported polymerization reaction families (epoxy, vitrimer).
- System — Return PolyUniverse kernel system and resource information.
- Version — Return the PolyUniverse model and container version.
Browse the full PolyUniverse skill documentation
Citation
Yang, T. et al. Generation of a Large-Scale Polymer Library Using Rule-Based Polymerization Reactions for Polymer Informatics. Digital Discovery (2024). DOI:10.1039/D4DD00196F
Frequently Asked Questions
What is PolyUniverse?
PolyUniverse is a ai models application available in the Paramus App Store. Generates a large-scale polymer library via rule-based polymerization reactions and predicts polymer properties with pretrained DNN models on Multi-Fingerprint Features. Designed for polymer informatics and screening.
Is PolyUniverse free to use?
Yes. PolyUniverse is distributed under the MIT (Free) license and is available at no cost through the Paramus App Store.
How do I install PolyUniverse?
PolyUniverse 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 PolyUniverse for one-click deployment.
What type of application is PolyUniverse?
PolyUniverse belongs to the “AI Models” 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 PolyUniverse run on?
PolyUniverse 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 PolyUniverse be automated or integrated with AI workflows?
Yes. PolyUniverse 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 PolyUniverse in publications?
The recommended citation for PolyUniverse is: Yang, T. et al. Generation of a Large-Scale Polymer Library Using Rule-Based Polymerization Reactions for Polymer Informatics. Digital Discovery (2024). DOI:10.1039/D4DD00196F