Surrogate · Defense
Gaussian Process Regression for Defense
Apply the gaussian process regression to real defense problems — in the browser, with AI assistance.
GPs model outputs as draws from a distribution over functions, giving both predictions and calibrated uncertainty for expensive simulations.
In defense, teams face challenges like blast and impact, signature management, reliability. The gaussian process regression directly supports use cases such as ballistic fea, aerodynamics, electromagnetic modeling, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Defense use cases
- Ballistic FEA
- Aerodynamics
- Electromagnetic modeling
Upgrade your workspace
Hackathon / Team Sprint Pack — $35
A short-term team workspace with pooled compute for sprints.
Recommended products
CFD Pro Pack
$39A professional computational-fluid-dynamics toolset and templates.
Grant / Publication Figure Package
$85Publication-ready figures and animations from your results.
Solver Method Recommendation Report
$4Describe your problem; get the recommended method and settings.
Live Monthly Office Hours
$9A live Q&A session with a simulation specialist.
Verified Researcher Badge
$19/yrAn annual verified-researcher badge on your public profile.
Data Export Pack
$2Unlock bulk CSV/HDF5 export for a project's full result set.