Surrogate · Automotive
Radial Basis Function (RBF) Interpolation for Automotive
Apply the radial basis function (rbf) interpolation to real automotive problems — in the browser, with AI assistance.
RBF interpolation fits smooth functions through scattered samples, a fast and accurate basis for surrogate models and meshless methods.
In automotive, teams face challenges like drag and fuel economy, crash safety, battery thermal management. The radial basis function (rbf) interpolation directly supports use cases such as external aerodynamics, crashworthiness fea, ev battery cooling, and PolySim's AI Copilot can recommend settings and catch common setup errors before you run.
Typical Automotive use cases
- External aerodynamics
- Crashworthiness FEA
- EV battery cooling
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