Scenario
An adhesive must reach a bond-strength and durability target on one or more specific substrates (metal, plastic, composite, glass), often across different surface treatments and cure conditions. Physically testing every chemistry × substrate × treatment × cure combination is slow and expensive.
Worked example. A structural adhesive must bond an aluminum panel to a low-surface-energy polypropylene bracket and survive thermal cycling.
Agent workflow
- Read the adhesive chemistry, the target substrates, and the required bond-strength / durability spec.
- Substrate adhesion screen — compare surface energies / polarities of the adhesive versus each substrate to flag wetting and adhesion risk, and suggest priming or surface treatment where the mismatch is large.
- Adhesive bond-strength screen — predict lap-shear / peel strength for the candidate formulations on each substrate.
- Cure-kinetics screen — model the time / temperature cure window so the proposed formulation actually reaches full strength in the process.
- Mechanical property screen — estimate modulus / elongation of the cured adhesive to check toughness against thermal-cycling stress.
Demo output
A matrix of candidate formulations × substrates with predicted bond strength, an adhesion-risk flag per substrate (with a priming/treatment suggestion where needed), and a viable cure window. The magic moment: the agent flags the low-surface-energy substrate early and recommends the treatment that unlocks the bond — before any coupons are made.
Deterministic vs LLM
- Deterministic — property predictions, surface-energy proxies, and the cure-kinetics math.
- LLM — the bonding-strategy narrative and the substrate/treatment rationale.
Every strength number and adhesion flag is a validated calculation, never an LLM guess. The agent reads and routes; the engine decides.
Data sources
- Native (offline): RDKit descriptors and surface-energy / polarity proxies; mechanical-property prediction; cure-kinetics modeling; DOE screening designs.
- Public reference layer: substrate surface-energy references; polymer and additive property data.
Limits
Screening-level guidance, not a substitute for standardized lap-shear / peel testing, environmental aging, or joint-design validation. It ranks the promising chemistry × substrate combinations; the lab confirms the strength.
Skills orchestrated by this use case
This scenario routes an AI agent through the following curated skills.
-
Adhesive Bond Strength Screen
FormulationScreen an adhesive formulation for expected bond strength by relating polymer backbone, tackifier, and crosslink density to cohesive and adhesive failure modes with Paramus property-prediction tools.When to use: a user needs an early read on whether an adhesive formulation will meet a bond-strength target.Multi-tool WORKFLOW with failure-mode judgment. -
Substrate Adhesion Screen
FormulationScreen adhesive–substrate pairs for wetting and adhesion risk by comparing surface energies, polarity, and primer needs across substrates with Paramus surface and property tools.When to use: a user needs to know whether an adhesive or coating will wet and adhere to a given substrate.Multi-tool WORKFLOW with surface-compatibility judgment. -
Cure Kinetics Screen
Polymer ChemistryScreen a thermoset or adhesive cure by relating reactive chemistry, catalyst, and temperature to gel time, cure profile, and degree of cure with Paramus kinetics and property tools.When to use: a user needs an early read on how fast and how completely a reactive system will cure.Multi-tool WORKFLOW with cure-kinetics judgment. -
Polymer Mechanical Property Screen
Polymer ChemistryScreen candidate polymers for mechanical performance (modulus, tensile strength, elongation, toughness proxies) by featurizing structures and predicting mechanical properties with Paramus BRAIN models, then ranking against a performance spec.When to use: a user asks “which polymer is stiffest/toughest?” or wants to meet a mechanical spec.Multi-tool WORKFLOW with a spec-matching decision rule.
Tools it reaches for
- Bond-strength and mechanical-property prediction
- RDKit descriptors and surface-energy / polarity proxies
- Cure-kinetics modeling (time / temperature)
- DOE screening designs
Browse the full deterministic layer in the tool browser.