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Knowledge-Constrained Shape Optimization with a Mixture-of-Experts Neural Operator for High-Confidence Design
A Mixture-of-Experts Neural Operator (MoE-NO) is developed to improve drag prediction and trend consistency over heterogeneous aerodynamic datasets and an uncertainty-estimation strategy is introduced to detect out-of-distribution geometries and selectively trigger physics-solver feedback for local sample enrichment.
ArtisanCAD: An Industrial-Level CAD Agent with Expert-Grounded Knowledge Distillation
ArtisanCAD is a skill-guided industrial CAD agent with expert-grounded knowledge distillation that enables expert CATIA recordings to be distilled into reusable skills, allowing ArtisanCAD to generate editable CATIA-native B-Rep models for new variant requests.