Neural Operator: Development and Training
Neural Operator
We develop, train, and integrate neural operators to accelerate and reduce computational costs for physics and mathematics problems in electronic design automation (EDA). Our solutions are essential for integrated circuit synthesis tasks
Neural Operator
We develop, train, and integrate neural operators to accelerate and reduce computational costs for physics and mathematics problems in electronic design automation (EDA). Our solutions are essential for integrated circuit synthesis tasks
Advantages of Neural Operators
  • Transferable Resolution: Can be trained on low-resolution circuit schematics and subsequently applied to higher-detail versions without requiring retraining
  • Holistic Topology Analysis: Processes the entire layout configuration to capture long-range electromagnetic interactions between distant circuit elements
  • Computational Efficiency: Delivers results two to three orders of magnitude faster than conventional solvers while maintaining comparable accuracy, achieving in seconds what typically requires hours
  • Multi-Modal Data Integration: Simultaneously processes diverse input data types, learning their complex interactions rather than analyzing isolated features