Neother Aero 0.1

Advanced Neural Operator Framework

Leverage the power of the Geometry-preserving Universal Physics Transformer (GP-UPT) to decouple geometry encoding from physics predictions. This novel architecture preserves critical geometric details while ensuring that field predictions—such as drag, lift, and 3D velocity fields—are delivered with exceptional accuracy.

Seamless CAD Integration

Noether Aero 0.1 works directly from raw geometry inputs, eliminating the need for laborious and time-consuming CFD re-meshing. Transform your design data into actionable insights almost instantly.

Scalability & Flexibility

Engineered for both surface and volumetric simulations, our model accurately predicts outcomes on meshes containing millions of cells. Whether you’re optimizing a high-speed racing car or designing next-generation aerospace systems, our scalable solution adapts to your simulation needs.

Transfer Learning for Data Efficiency

By bridging low-fidelity and high-fidelity simulation data, Noether Aero 0.1 reduces the need for extensive high-resolution datasets. This approach not only cuts costs but also accelerates the training process, allowing rapid deployment and iterative design improvements.

Unmatched Speed and Accuracy

Achieve near-instantaneous predictions with R² correlations approaching 0.97 for critical aerodynamic coefficients. The model’s efficient field-based decoding ensures that even the most complex fluid dynamics are computed within seconds on a single GPU.

Applications in High-Performance Industries

Racing Teams

Accelerate design cycles by rapidly evaluating aerodynamic performance across multiple configurations. Gain competitive advantage through precise, iterative adjustments that traditional CFD methods simply cannot match in turnaround time.

Aerospace Innovators

From launch vehicles to orbital platforms, the demands of aerospace engineering require simulation tools that balance speed and fidelity. Noether Aero 0.1 offers unparalleled accuracy in predicting airflow patterns, pressure distributions, and structural loads, ensuring optimal performance in the most challenging environments.

Defense & Strategic Systems

In defense applications, simulation precision is critical. Our AI-driven approach provides rapid insights into aerodynamic behavior under extreme conditions, supporting the design of stealth, maneuverability, and high-speed capabilities while significantly reducing simulation costs and time.

Research Findings

The detailed surface predictions enable granular analysis of aerodynamic forces, while the global assessments confirm that the model can reliably substitute traditional CFD simulations for both rapid design iteration and high-stakes performance evaluation in industries like F1, aerospace, and defense.

Get Started

Ready to redefine the limits of simulation?

talk@emmi.ai

⚡

Noether Aero 0.1