Fluid · Automotive
Explicit Semi-Lagrangian Advection for Automotive
Apply the explicit semi-lagrangian advection to real automotive problems — in the browser, with AI assistance.
This is the explicit variant of the Semi-Lagrangian Advection. Semi-Lagrangian schemes trace characteristics backward in time and interpolate, giving stability at large timesteps — the basis of Stam's Stable Fluids.
In automotive, teams face challenges like drag and fuel economy, crash safety, battery thermal management. The explicit semi-lagrangian advection 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
Upgrade your workspace
Math / Dynamical Systems Kit — $19
ODEs, PDEs, chaos, and dynamical-systems exploration.
Recommended products
LaTeX / Report Auto-Generator
$6Turn your results into a formatted LaTeX report with figures.
Hackathon / Team Sprint Pack
$35A short-term team workspace with pooled compute for sprints.
Premium Formatting
$6Polished formatting for figures and exports.
Convergence Diagnostics Report
$5A diagnosis of convergence behavior from your solver logs.
Pro Unlimited
$29/moUnlimited local rendering and priority AI copilot.
Benchmark Page Sponsorship
$79/mo"Powered by" sponsorship on validation/benchmark pages.