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AI Architecture › Resiliency & Operations
Resiliency & Operations

First-Wall and Divertor Health

Tracking erosion, deposition, and thermal fatigue of the plasma-facing components that set how long a campaign can run.

STRATEGY / SLOW ▲ ▼ MICROSECOND REAL-TIMEL7Ecosystem & Strategytelemetry ▲ control ▼open ▸L6Experience & Visualizationtelemetry ▲ control ▼open ▸L5Applications & Copilotstelemetry ▲ control ▼open ▸L4Orchestrationtelemetry ▲ control ▼open ▸L3Twin Modeling & AItelemetry ▲ control ▼open ▸L2Data Fabrictelemetry ▲ control ▼open ▸L1Control Planetelemetry ▲ control ▼open ▸L0Foundationtelemetry ▲ control ▼open ▸PHYSICAL S.M.A.R.T. GENERATOR PLANTBREEDER · HYPERION1R0 1.2 m · A 2.5 · 16.84 T · δ −0.30BURNER · TANDEM MIRROR2317 T throat · 26.49 T plug · fₙ 5.44% · DEC1 center stack + plasma · 2 high-field plug · 3 expander → direct converterCOLOR GRAMMAR strategy AI-workflow infra/data models reactor/DECLINE SEMANTICStelemetry (µs)controlKRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORMASTER BLUEPRINTSHEET 01REV. 2026-08L0-L7 · 2 MACHINES
The AI-Native S.M.A.R.T. Generator Master Blueprint — eight layers (L0→L7), one control stack, wired to both machines. Telemetry rises in microseconds; control descends the same path.

The components that touch the plasma

The first wall and divertor absorb heat and particle flux from the plasma and, in the breeder, the 14 MeV neutron load. Their gradual degradation - erosion, redeposition, thermal fatigue, neutron-induced changes - sets a hard ceiling on how long a campaign can run before an inspection opening. Tracking their health turns that ceiling from a surprise into a schedule.

Health indicators

These indicators feed a per-tile RUL model. Because heat flux is uneven - the divertor strike point and the negative-triangularity delta -0.30 scrape-off geometry concentrate load - the model is spatial, tracking the worst tiles rather than an average.

python
def tile_damage(heat_flux_map, dt, fatigue_exp=4.0):
    # accumulate weighted thermal-fatigue damage per tile (Coffin-Manson-like)
    return (heat_flux_map ** fatigue_exp) * dt   # elementwise, worst tile drives RUL

Feeding the schedule

The worst-tile RUL sets the campaign length; predictive maintenance places wall or divertor service in the opening before that tile is predicted to fail. For the burner the neutron fraction is lower (5.44%) so neutron damage is less dominant, but plug-adjacent thermal loading is un-characterized in the 166-830x regime and is therefore tracked conservatively. All estimates are reconciled against teardown and propagated across the fleet.

Content reviewed August 2026 · design-and-simulation stage