Paramus — Polymer Formulation Triage
Overview
Take a full formulation and a target property profile, predict the profile, check additive compatibility, and return a keep/adjust/reject assessment with the binding trade-offs. This is the highest-level polymer skill — it composes the other polymer screens into one decision.
Guidance vs execution: every property and compatibility signal comes from tested Paramus tools. Do not blend properties or invent mixing rules in ad-hoc code.
When to Use
- "Here's my formulation — does it hit the targets, and what breaks?"
- Comparing formulation variants against one property profile Do not use for: process/manufacturing simulation (hand off to the engineering workflow).
Workflow
Base polymer + additives/fillers/plasticizers + target property profile
↓ 1. Parse & validate all components → Paramus polymer + cheminformatics tools
↓ 2. Predict target properties → compose Tg / mechanical / solubility screens
↓ 3. Check additive compatibility → solubility/miscibility signals
↓ 4. Fuse vs profile → per-target pass/fail + trade-off surface
↓ 5. Assess & report → keep / adjust / reject + binding constraints
Procedure
- Discover the component tools with
search/get_schema; reuse the Tg, mechanical, and solubility screens as sub-steps rather than re-deriving them. - Parse and validate every component; quarantine anything that fails.
- Predict each property in the target profile, carrying uncertainty and model versions throughout.
- Screen plasticizer/filler compatibility via solubility signals; flag likely phase separation.
- Fuse results against the profile; identify which target is the binding constraint.
- Report an overall verdict (keep/adjust/reject), the binding trade-off, and concrete adjustment levers (e.g. "raise plasticizer → gains flexibility, loses Tg margin").
Domain Judgment
- The binding constraint matters more than the average score — name it explicitly.
- Compatibility failure vetoes a good property profile — a phase-separated blend won't deliver.
- Propagate uncertainty from every sub-screen; the verdict inherits the weakest confidence.
Fallbacks
- A sub-screen model unavailable → deliver a partial verdict, clearly scoped to what was assessed.
- Endpoint unreachable → stop and report; no local blending rules.
Promotion Note
This composite is a strong promotion candidate: if "triage a formulation against a profile" proves frequent and stable, the fused verdict step earns implementation as a single tested Paramus tool.
Tools this skill may use
Candidate deterministic tools an agent is likely to route to when running this skill. The skill decides which to call at runtime.
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Brain AI Simpoly Polymer Classes
Polymer ScienceList the polymer classes SMiPoly can generate (condensation mode). -
Brain AI Transpolymer Embed
Polymer ScienceGenerate a 768-dimensional polymer embedding vector from a SMILES or BigSMILES string using the TransPolymer model. -
Get Polymer Fingerprint
Polymer ScienceGenerates a molecular fingerprint for a polymer structure using the polymerfingerprint library. Fingerprints are numerical representations that encode structural features, enabling computational analysis, similarity searches, and machine learning applications. Supports BigSMILES notation for representing polymer structures. -
Brain AI Polytao Featurize
Polymer ScienceCompute the 15 RDKit molecular descriptors PolyTAO uses as conditioning features for a polymer repeat-unit SMILES.
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Used in these use cases
Customer scenarios that orchestrate this skill end-to-end.