e-SimFT is a novel framework that aligns generative models with simulation feedback to explore engineering design trade-offs, helping engineers discover optimal solutions when all requirements cannot be met simultaneously.

• Addresses the challenge of aligning generative models for effective design exploration
• Enables discovery of Pareto-optimal solutions - designs that optimally balance competing requirements
• Leverages simulation feedback to guide the generative process toward the most promising areas of the design space
• Provides engineers with a comprehensive view of design possibilities instead of a single solution

This research advances engineering design by automating the exploration of complex trade-offs, allowing engineers to make more informed decisions based on a broader understanding of the available design alternatives.

e-SimFT: Alignment of Generative Models with Simulation Feedback for Pareto-Front Design Exploration