Research
NeuroForge: AI + Physics for More Reliable CFD
Can AI Predict CFD Solutions—And Know When Not to Trust Them?
A new research framework called NeuroForge combines neural CFD with physics-based validation. Instead of only predicting flow fields, it estimates how reliable each prediction is before engineers use the results.
Key Features
🧠 AI Flow Prediction
Fast neural network-based CFD predictions.
🛡️ Physics Validation
Checks predictions using RANS residuals.
🔄 Self-Correcting AI
Uses a learned correction model to improve low-confidence predictions.
📈 Benchmark Tested
Shows improved accuracy on standard CFD datasets.
Why It Matters
Faster engineering workflows
Confidence score for AI predictions
Bridges AI and physics-based CFD
Supports future design optimization