Paramus — Polymer Degradation Pathways

Overview

Map a polymer's structure to plausible degradation mechanisms and rank them by likelihood under the user's conditions. The value is the mechanistic screen + condition-aware judgment, not one lookup.

Guidance vs execution: motif detection and any stability descriptors come from tested Paramus tools. Do not assert mechanisms from model memory alone — ground them in the structure analysis.

When to Use

• "How will this polymer age/degrade?" or "Is it stable under humidity/UV/heat?"
• Comparing candidates for environmental or service-life robustness Do not use for: quantitative lifetime prediction requiring measured kinetics (hand off to a kinetics workflow/tool).

Workflow

Polymer structure + service conditions (T, humidity, UV, media)
  ↓ 1. Parse & identify labile motifs   → Paramus structure analysis (esters, ethers, C=C, α-H…)
  ↓ 2. Map motifs → mechanisms          → hydrolysis / oxidation / photo / thermal
  ↓ 3. Estimate susceptibility          → Paramus stability descriptors where available
  ↓ 4. Weight by conditions             → which mechanism dominates under the stated environment
  ↓ 5. Report risks + mitigations       → ranked pathways + conditions to avoid + provenance

Procedure

1. Discover tools with search/get_schema ("functional group detection", "stability descriptor").
2. Parse the repeat unit; enumerate hydrolyzable/oxidizable/photolabile motifs found.
3. Map each motif to its mechanism; note the environmental trigger for each.
4. Where a Paramus descriptor/model exists, quantify susceptibility with provenance; otherwise mark the assessment as qualitative and say so.
5. Weight mechanisms by the user's stated conditions; rank the dominant pathways.
6. Report: ranked pathways, structural rationale, conditions to avoid, and confidence level.

Domain Judgment

• No labile motif detected ≠ "stable" — state the limits of a structure-only screen.
• Separate what is grounded in a tool from what is qualitative reasoning; label each.
• Conditions decide dominance: an ester is a hydrolysis risk in humid service, less so when dry.

Fallbacks

• No stability model available → deliver the qualitative motif-based screen, clearly flagged.
• Endpoint unreachable → stop and report; do not invent kinetics in local code.