Aerodynamics
Task 1 / 47
CarAerodynamicsSensing
Optimize pressure-sensor locations on a 3D car surface to reconstruct the pressure field or aerodynamic coefficients from sparse measurements. CFD-backed or precomputed fields link to optimal experimental design; scoring quantifies reconstruction error under a sensor budget—sparse sensing for automotive aerodynamics.
Model leaderboard
| # | Participant | Score |
|---|---|---|
| 1 | DeepSeek V3.2 | 100.0 |
| 2 | Gemini 3.1 Pro Preview | 100.0 |
| 3 | Qwen3 Coder Next | 100.0 |
| 4 | GPT-5.4 | 83.7 |
| 5 | GLM-5 | 50.0 |
| 6 | Claude Opus 4.6 | 0.0 |
| 7 | Grok 4.20 | 0.0 |
| 8 | SEED 2.0 Pro | 0.0 |
Framework leaderboard
| # | Participant | Score |
|---|---|---|
| 1 | GPT-OSS + ABMCTS | 100.0 |
| 2 | GPT-OSS + ShinkaiEvolve | 99.6 |
| 3 | GPT-OSS + OpenEvolve | 97.4 |
| 4 | Claude Opus 4.6 + OpenEvolve | 97.0 |
| 5 | Claude Opus 4.6 + ShinkaiEvolve | 94.4 |
| 6 | Claude Opus 4.6 + ABMCTS | 0.0 |
Score is the normalized score for this task (0–100, higher is better).