Discretization · Nuclear
2D Finite Difference Method (FDM) for Nuclear
Apply the 2d finite difference method (fdm) to real nuclear problems — in the browser, with AI assistance.
This is the 2d variant of the Finite Difference Method (FDM). FDM replaces derivatives with difference quotients on a regular grid — simple to implement and ideal for diffusion, wave, and reaction–diffusion PDEs.
In nuclear, teams face challenges like neutron transport, thermal-hydraulics, safety margins. The 2d finite difference method (fdm) 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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