2D Spectral Methods for Automotive

This is the 2d variant of the Spectral Methods. Spectral methods expand the solution in Fourier or Chebyshev modes for exponential accuracy on smooth problems.

In automotive, teams face challenges like drag and fuel economy, crash safety, battery thermal management. The 2d spectral methods 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.