Discretization · Nuclear
Implicit Finite Difference Method (FDM) for Nuclear
Apply the implicit finite difference method (fdm) to real nuclear problems — in the browser, with AI assistance.
This is the implicit 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 implicit 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
Upgrade your workspace
Biology Simulation Kit — $19
Population dynamics, reaction networks, and cellular models.
Recommended products
Student
$5/moVerified-student plan with cloud projects and copilot access.
Community Supporter
$29/yrSupport development and get early access to new nodes.
Extra API Calls +5k
$3Top up 5,000 additional API calls without upgrading your plan.
AI Copilot Pro Session
$9200 generations on the Pro model for complex graph authoring.
Chemistry Reaction Kit
$19Reaction kinetics, equilibrium, and transport simulations.
1:1 Onboarding & Training
$120A two-hour guided onboarding for you or your team.