G′, G″, η* — sub-second.
No statistical approximation. No truncated trees.
On heavily branched architectures — LDPE, LCBI polyolefins, asymmetric combs — established solvers require minutes to hours per architecture. Systematic topology exploration in process time is not feasible.
Engineers compensate with heuristics, empirical parameters, and trial-and-error. The cost is not the computation time. The cost is the synthesis campaigns that should never have happened.
The viscoelastic response of a branched topology factors through its segment multiset — a structural result in the theory of operadic morphisms applied to decorated tree algebras. The complexity reduction is a consequence of this algebraic structure, not a numerical shortcut.
Arm retraction, constraint release, contour length fluctuations — the physical mechanisms are preserved. RHEOX is not a regression model or a neural network. It is a reformulation of the same physics at lower computational cost.
The engine is accessible via API. No imposed workflow. Your team defines how the computation integrates into your existing characterisation or simulation pipeline. Access is by request — data stays on your side.
The mathematical framework underlying the factorisation property is being formalised for academic publication. The engine is the industrial implementation of that result.
We do not claim broad applicability before we have demonstrated it. The current validated perimeter is stated precisely below.
| System | Dataset | Temperature | Perimeter | Status |
|---|---|---|---|---|
| DOW LDPE L150R | RepTate reference | 160°C | G′, G″, η* — full frequency sweep — terminal zone + rubbery plateau | ✓ validated |
| Controlled star / comb (anionic) | — | — | Known exact topology — pending blind partner | ⟳ sought |
| Industrial LCBI grade | — | — | Blind prediction vs GPC-MALS reference | ⟳ sought |
The strongest validation comes from architectures we have never seen. This is why we are looking for blind partners.
Companies willing to run a blind validation on 3–5 of their own grades. You provide the rheological data and an independent structural reference. We provide the prediction without seeing your reference. You evaluate independently.
Particularly on bimodal distributions and hyperbranched extensions of the algebraic framework. Controlled architectures with known topology — synthesised by anionic or ROMP routes — are the most valuable test cases.
Especially from sceptics. If you believe the approach is physically inconsistent, algorithmically flawed, or industrially irrelevant — we want to hear it. The strongest validation comes from the hardest questions.
No forms. No commitment. No online access without prior exchange.