Linear solvers · Nuclear
Conjugate Gradient (CG) for Nuclear
Apply the conjugate gradient (cg) to real nuclear problems — in the browser, with AI assistance.
CG minimizes the residual over expanding Krylov subspaces, converging far faster than stationary methods for SPD systems common in FEM.
In nuclear, teams face challenges like neutron transport, thermal-hydraulics, safety margins. The conjugate gradient (cg) directly supports use cases such as reactor kinetics, shielding attenuation, decay-heat modeling, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Nuclear use cases
- Reactor kinetics
- Shielding attenuation
- Decay-heat modeling
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