GPU-Accelerated Finite Difference Method (FDM) for Nuclear

This is the gpu-accelerated 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 gpu-accelerated 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.