Product 01 · Scaffold Intelligence

Scaffold decisions with the evidence attached.

Bioreactor and scaffold objectives become reproducible candidates, analytical screens, governed solver requests and reviewable evidence packages.

Computational render of the canonical connected network-gyroid scaffold geometry
FIG 01 Canonical network-gyroid geometrymain · 33627bd · STL sha256 2201aa9a… · 25 × 15 × 3 mm Computational STL render, not microscopy. Printability and wet-lab performance remain unvalidated.
Open evidence →
Formal certificationProduct-pyramid L0
Operating evidenceRepeated governed coarse OpenFOAM execution
Next gateOne current exact-geometry sealed truth bundle

Design identity should survive every representation.

Workflow

Escalate from cheap screening to governed truth.

Optimisation and learning advise. A truth-run ticket, compute decision and exact engine inputs control promotion.

  1. 01Compile

    Mixed-format client objectives become a typed programme.

  2. 02Generate

    Procedural grammar emits candidates and canonical identity.

  3. 03Screen

    Analytical proxies and bounded AI rank without claiming truth.

  4. 04Govern

    Budget, geometry authority and promotion policy issue a ticket.

  5. 05Solve

    OpenFOAM or FEniCSx consumes its retained numerical input.

  6. 06Seal

    Fields, convergence, receipts and boundaries form the bundle.

Actual result

Connected geometry. Real solver observation. Visible uncertainty.

The canonical reference is not concept art. The OpenFOAM sequence is not presented as grid-independent.

Computational render of the canonical connected network-gyroid scaffold geometry
FIG 01 Canonical network-gyroid geometrymain · 33627bd · STL sha256 2201aa9a… · 25 × 15 × 3 mm Computational STL render, not microscopy. Printability and wet-lab performance remain unvalidated.
Open evidence →
OpenFOAM pressure-drop chart across coarse, medium and fine gyroid meshes
FIG 02 OpenFOAM mesh-refinement observation564,291 → 1,960,469 cells · ΔP 10.661 → 11.399 Pa Fine-grid GCI 19.945%; under-resolved, standalone and not a measurement.
Open evidence →
Geometry
120,000
watertight manifold triangles
Topology
1 + 1
connected solid + connected void network
Porosity
0.499
canonical geometry QA record
Fine mesh
1.96m
cells in the third OpenFOAM level
Fine ΔP
11.399 Pa
standalone numerical observation
Fine GCI
19.945%
further refinement required

1,000 mixed briefs tested the software boundary.

Methods

Native engines keep their authority.

Representation, numerical solve and learned approximation remain separate layers.

OpenUSD

Canonical composition, provenance and stable design identity across the handoff thread.

Does not replace STL, Gmsh, polyMesh or native fields.

OpenFOAM

Perfusion and transport truth path with retained case identity, fields and convergence evidence.

Current canonical sequence remains under-resolved and unsealed.

FEniCSx

Exact 3D DOLFINx execution mechanism with retained MSH bytes, tags and tested MPI paths.

Canonical full-field mechanics campaign is still required.

Surrogates

Corpus, training, registry and admission mechanisms exist; learned models remain advisory until a truth corpus supports promotion.

No scientific surrogate is currently admitted.

Fourier methods

The current fixed-resolution model maps global rFFT features through dense layers.

It is explicitly not a true FNO or PINO.

Current boundary

Formal L0 does not erase the solver work.

It does identify the certification gap.

The retained record contains 51 executed governed coarse OpenFOAM runs with truth-bundle identifiers, but every completed bundle remains completed_with_pending_evidence and predates the current post-mesh authority receipt. One current exact-geometry rerun must bind source geometry, transformed input, numerical mesh, scaffold patch and solver fields before formal L1.

Bring the next claim into contact with reality.