Introducing Surrogate Models for Enhanced Simulation Efficiency

COMSOL Multiphysics® version 6.2 introduces surrogate models that significantly enhance simulation efficiency. These models simplify complex simulations, allowing for faster evaluations and an interactive user experience. Surrogate models are particularly useful for extensive parameter studies, optimization tasks, and real-time feedback, reducing computational load while maintaining accuracy. They utilize advanced techniques like Deep Neural Networks (DNN) and Gaussian Processes (GP) to predict system behavior accurately.

By integrating surrogate models, engineers can streamline their design processes, achieve quicker insights, and enhance product development cycles. Explore how surrogate models can benefit your applications, from LVADs to drug safety, by visiting the COMSOL Multiphysics® 6.2 Release Highlights page.