CANTO: CAD-Native Transformer Operators for AI-Aided Engineering

arXiv:2609.36806 · cs.AI · Submitted 2026-09-29 · Read on arXiv

cs.AI

Submitted: 2026-09-29

Updated: 2026-10-01

Code: https://github.com/Emmi-AI/noether

Terminology

• Transformer — 1× in this paper · explained in 2 episodes

Sources

• Neural Operator: Graph Kernel Network for Partial Differential Equations
• AB-UPT: Scaling Neural CFD Surrogates for High-Fidelity Automotive Aerodynamics Simulations via Anchored-Branched Universal Physics Transformers
• Transolver: A Fast Transformer Solver for PDEs on General Geometries
• Geometry Aware Operator Transformer as an Efficient and Accurate Neural Surrogate for PDEs on Arbitrary Domains
• Geometry-Informed Neural Operator Transformer
• MNO: Multiscale Neural Operator for 3D Computational Fluid Dynamics
• NeuroNURBS: Learning Efficient Surface Representations for 3D Solids
• Qwen3 Technical Report
• LoRA: Low-Rank Adaptation of Large Language Models
• AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics
• DrivAerML: High-Fidelity Computational Fluid Dynamics Dataset for Road-Car External Aerodynamics

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