Surrogate Models

Surrogate models are simplified versions of complex systems or simulations used to predict outcomes efficiently. Instead of running time-consuming, detailed calculations each time, a surrogate learns from existing data to mimic the behavior of the original system. Think of it as a high-quality approximation or "shortcut" that helps engineers and scientists quickly evaluate different scenarios, optimize designs, or understand system responses without the need for extensive computation. This approach saves time and resources while maintaining sufficient accuracy for decision-making.