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L0 · Foundation

Neutronics Monte Carlo for the Burner

Quantifying the D-3He reaction's 5.44 percent neutron fraction so the burner's shielding and direct-conversion train are designed honestly.

THE STACK · click to jumpL7Ecosystem & StrategyL6Experience & VisualizationL5Applications & CopilotsL4OrchestrationL3Twin Modeling & AIL2Data FabricL1Control PlaneL0Foundation▲tlmctl▼L0 · FOUNDATIONThe offline compute substrate — multi-physics & batch training.1Cloud HPCelastic burst2Bare-Metal ClusterGPU / CPU3Supercomputingmulti-physics runs4Batch Trainingmodel builds5Simulation FarmGrad-Shafranov · MHD6Object StorecheckpointsMACHINE TIETrains the models that ship UP to L3 — no real-time path to the machine.KRONOS FUSION ENERGYAI-NATIVE S.M.A.R.T. GENERATORFOUNDATIONSHEET 02REV. 2026-08L0 · AI-NATIVE STACK
L0 · Foundation — its place in the stack (left, click any layer) and its internal components (right). Telemetry rises; control descends.

Low-neutron, not aneutronic

The burner is a D-3He tandem-mirror generator. Its primary reaction is low-neutron but not aneutronic: a neutron fraction of 5.44 percent arises chiefly from D-D side reactions and their tritium products. Monte Carlo on L0 quantifies exactly where those neutrons go, because honest shielding and activation design depends on treating that 5.44 percent as real, not zero.

What the neutrons threaten

In the burner, neutrons are the component that most stresses structure and the direct-energy-conversion (DEC) train. The multi-modal DEC path, TWDEC, ultra-high-field MHD, and thermionics, sits in the particle exhaust and must be shielded from the neutron and activation environment. Monte Carlo maps the flux reaching each stage so materials and shielding are sized to the true load.

Why this is subtle

Because the neutron fraction is small, naive analog Monte Carlo wastes effort tracking the dominant charged-particle physics that carries no neutrons. Kronos uses variance reduction to bias sampling toward the rare neutron-producing channels and the deep-shield regions where flux is low but consequential.

The tandem-mirror geometry is open-ended, not toroidal, so neutron streaming along the axis and out the end cells behaves very differently from the breeder's closed blanket. Monte Carlo captures this axial leakage directly, which matters for siting the DEC train and the expander in the neutron shadow.

Burner neutronics results feed the same downstream chain as the breeder: heating into thermomechanics, activation into waste and maintenance planning, and response tables into the twin. The difference is emphasis, the burner asks how to keep a small neutron flux from degrading a precise energy-conversion system, rather than how to maximize breeding.

Content reviewed August 2026 · design-and-simulation stage