Optimizing Semiconductor Design with AI-Physics Simulation Trade-offs

The research explores semiconductor design optimization using AI and physics-based simulations, addressing challenges such as balancing cost, accuracy, and speed, data quality issues, and model generalization vs. specialization. Background insights include the evolution of AI in design and the critical role of simulations. Detailed examples highlight simulation bottlenecks, hyperparameter challenges, and effective integration of physics with AI. Conclusions focus on future opportunities,...