Skip to content
Technology How it works Breeder — Hyperion Burner — Aegis Burner — MetroVolt AI-Native Architecture Magnets Fuel cycle Safety Roadmap
Solutions AI & Data Centers Defense & Government Grid & Baseload Neutron Detection Quantum
Learn Technical Library
Proof Publications Whitepapers Technical Library Open Science & Reproducibility The Honest Gates
Company About / Mission Leadership Environment Health & Safety Investors Careers Press Contact
3D Model
AI Architecture › Resiliency & Operations
Resiliency & Operations

Campaign Lifecycle and Duty Cycle

How individual shots accumulate into a campaign, and how duty cycle sets the ceiling on breeder availability and tritium output.

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.

From shots to a campaign

A campaign is a planned series of shots run against fixed hardware between maintenance openings. Availability at campaign scale is bounded by duty cycle: the ratio of productive flat-top time to the full arm-to-recovery period, multiplied by the fraction of calendar time the machine is in-campaign rather than in maintenance. For the breeder this directly sets annual tritium output toward the ~4 kg/yr class and helium-3 toward ~1.97 kg/yr.

python
def campaign_availability(flattop_s, cycle_s, shots_per_day, up_days, cal_days):
    duty = flattop_s / cycle_s                 # in-shot productive fraction
    daily_prod_s = duty * cycle_s * shots_per_day
    seconds_per_day = 86400.0
    in_shot_frac = daily_prod_s / seconds_per_day
    calendar_frac = up_days / cal_days         # campaign vs maintenance
    return in_shot_frac * calendar_frac

What limits duty cycle

Duty cycle vs availability

Duty cycle and availability are related but distinct. A machine can be highly available (rarely broken) yet low duty cycle (much time spent recovering between shots). The predictive-maintenance layer works to convert unplanned campaign-ending faults into scheduled openings, protecting both. See Predictive Maintenance and Availability Modeling.

At fleet scale the FOAK-NOAK-BOAK breeder sequence (from ~2030) is expected to raise duty cycle as each unit inherits validated recovery procedures. Pre-FOAK, campaign models run against the twin to size the recovery budget honestly rather than optimistically.

Content reviewed August 2026 · design-and-simulation stage