PolyNC
AI Models Apache-2.0 (Free)
About
A unified natural & chemical language model (text-to-text) for predicting polymer properties (multi-task: regression + classification).
Skills
MCP skills available for PolyNC, callable from AI workflows and the Paramus chat:
- Acceptable Ranges — Get acceptable input/output ranges for PolyNC.
- Capabilities — Get PolyNC model capabilities.
- Citation — Get PolyNC citation information for publications
- Docker Start — Start persistent Docker container with preloaded model.
- Docker Status — Get Docker container status.
- Docker Stop — Stop persistent Docker container.
- Info — Get PolyNC service status and availability
- Methods — List all available PolyNC methods
- Predict Atomization Energy — Predict atomization energy for polymers using ML
- Predict Bandgap — Predict electronic bandgap energy for polymers using ML
- Predict Heat Resistance — Predict heat resistance class for polymers using ML
- Predict Tg — Predict glass transition temperature (Tg) for polymers using ML
- Version — Get PolyNC model version information
Browse the full PolyNC skill documentation
Citation
Qiu, H.; Liu, L.; Qiu, X.; Dai, X.; Ji, X.; Sun, Z.-Y. PolyNC: a natural and chemical language model for unified polymer properties prediction. Chemical Science (2024). DOI:10.1039/D3SC05079C
Frequently Asked Questions
What is PolyNC?
PolyNC is a ai models application available in the Paramus App Store. A unified natural & chemical language model (text-to-text) for predicting polymer properties (multi-task: regression + classification).
Is PolyNC free to use?
Yes. PolyNC is distributed under the Apache-2.0 (Free) license and is available at no cost through the Paramus App Store.
How do I install PolyNC?
PolyNC 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 PolyNC for one-click deployment.
What type of application is PolyNC?
PolyNC 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 PolyNC run on?
PolyNC 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 PolyNC be automated or integrated with AI workflows?
Yes. PolyNC 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 PolyNC in publications?
The recommended citation for PolyNC is: Qiu, H.; Liu, L.; Qiu, X.; Dai, X.; Ji, X.; Sun, Z.-Y. PolyNC: a natural and chemical language model for unified polymer properties prediction. Chemical Science (2024). DOI:10.1039/D3SC05079C