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AI Architecture › L2 · Data Fabric
L2 · Data Fabric

Neutron Fluence Mapping

Spatially resolved neutron fluence tracks where 14 MeV neutrons deposit, feeding tritium-breeding accounting and materials-life monitoring in the breeder.

THE STACK · click to jumpL7Ecosystem & StrategyL6Experience & VisualizationL5Applications & CopilotsL4OrchestrationL3Twin Modeling & AIL2Data FabricL1Control PlaneL0Foundation▲tlmctl▼L2 · DATA FABRICTelemetry, validation, and the machine's memory.160+ Port Telemetrysensor bus2Signal Validationrange & sanity3Feature Engineeringderived signals4Time-Series Archivefull history5Feature Storetraining-ready6Vector DBembeddings for RAGMACHINE TIEIngests from diagnostics; serves the twin (L3) and copilots (L5).KRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORDATA FABRICSHEET 04REV. 2026-08L2 · AI-NATIVE STACK
L2 · Data Fabric — its place in the stack (left, click any layer) and its internal components (right). Telemetry rises; control descends.

Where the neutrons go

The breeder's value rests on capturing 14 MeV neutrons in a blanket that breeds tritium. Neutron fluence mapping resolves the spatial and time-integrated neutron field, so the fabric can account for breeding, monitor activation, and track cumulative dose to materials and sensors. It turns a scalar flux into a spatial feature.

Feeding the breeding account

The tritium breeding ratio is treated as a design lever across 1.1/1.5/1.8. Closing the fuel cycle depends on knowing how many neutrons reach the breeding blanket and where. Fluence mapping, combined with isotope telemetry, gives the real-time picture the fuel-cycle balancing needs (see isotope telemetry), targeting the roughly 4 kg/yr tritium class the design aims for.

Materials and sensor life

Reconstruction

Like density, the fluence field is reconstructed from a finite set of monitors against the machine geometry — a constrained inversion, not raw interpolation. The offline multi-physics Monte Carlo transport models on L0 provide the response functions the reconstruction uses. Results are normalized into machine coordinates and versioned. This is a design and simulation capability for the FOAK breeder whose construction begins Q2 2027.

Content reviewed August 2026 · design-and-simulation stage