Isotope-Supply Optimization
A fusion neutron source produces valuable isotopes; scheduling irradiation and processing to meet demand is a computational planning problem.
Fusion as an isotope source
Intense neutron flux transmutes target materials into isotopes used in research, medicine, and industry. A fusion machine, designed primarily for energy, also produces neutrons that can be directed at targets, making isotope supply a genuine application of the same hardware.
The planning problem
- Different isotopes need different flux, energy, and irradiation time.
- Targets compete for space and flux with each other and with breeding.
- Products decay, so timing between irradiation, processing, and delivery matters.
- Demand varies, so production must be scheduled against it.
Why computing is needed
Balancing these constraints is an optimization over target placement, irradiation schedule, and processing sequence. It uses neutron transport to predict yields and scheduling models to meet demand, and it is re-solved as conditions change. This is closely related to supply-chain simulation.
Tritium and helium-3
For the Hyperion breeder, the priority product is tritium, needed to fuel D-T operation and to start later units, tracked through inventory management. Helium-3, valuable to other industries, is a related isotope whose strategic value is separate from being a revenue line.
Honest scope
Kronos frames isotope supply in terms of capability and physics, not projected quantities dressed as certainties. Yields depend on the same nuclear data uncertainties as breeding, carried through explicitly.
Coupling
Isotope production shares neutrons with breeding and space with shielding, so it is optimized jointly, not in isolation.