AI-Powered CFD Research, From Discovery to Simulation

VibeCFD cut my simulation setup time from days to minutes. The auto-mesh generation alone is worth it.

The literature mining feature helped my students find novel research directions they would have never discovered manually.

Finally, a tool that understands both the physics and the workflow. VibeCFD is how CFD research should be done.

The multi-solver approach is brilliant. VibeCFD recommended LBM for a problem I was struggling with in OpenFOAM — converged in half the time.

We used VibeCFD to automate conjugate heat transfer studies for our 5G base stations. Setup time dropped from 2 days to 20 minutes.

The auto-mesh feature handles complex geometries beautifully. My students can focus on physics instead of fighting with mesh quality.

VibeCFD's benchmark validation is rock-solid. Every result comes with automatic comparison against published data — saves hours of manual checking.

As a PhD student, VibeCFD is a game changer. The literature mining found 3 papers I missed that were directly relevant to my thesis.

The multi-solver approach is exactly what combustion research needs. Switching between OpenFOAM and LBM for different regimes is seamless.

SPH simulations for free-surface flows are notoriously tricky to set up. VibeCFD automated the entire process — boundary conditions, particle spacing, everything.

I run 20+ client projects a month. VibeCFD's automated case setup and post-processing doubled my throughput.

VibeCFD handles hemodynamics simulations with care — proper boundary conditions for pulsatile flow, automatic mesh refinement near vessel walls.