Systems and Methods for Enhanced Engineering Design and Optimization

摘要

Disclosed are systems and method for enhanced engineering design and optimization incorporating double-step dimensionality-reduction in order to provide customized, automated solutions to the design and optimization of electromagnetic nanostructures. The system can train a multi-stage neural network reduce the response space of a design problem. The system can train a second neural network to reduce the design space of the design problem. As a result of these reductions, the system can generate a one-to-one relationship between the design and response spaces of complex design problems. The system can subsequently solve both the forward design and the inverse problem. Additionally, the system can utilize the generated neural networks to determine a plurality of analytical relationships between the design space and the response space. The system can then utilize the determined relationship to arrive at optimal design solutions.