Surrogate models expedite the search for promising designs by standing in for expensive design evaluations or #simulations. They provide a global model of some metric of a design—such as weight, aerodynamic drag, or cost—which can then be #optimized efficiently. Written for postgraduate students and engineers our March Book of the Month is a practical guide to using #surrogates in #engineering #design. https://arc.aiaa.org/doi/book/10.2514/4.479557 | AIAA - The American Institute of Aeronautics

Better design decisions for your CFD simulations with surrogate models - Simcenter

Generalizable and Fast Surrogates: Model Predictive Control of Articulated Soft Robots using Physics | Stephanie Soquet

Surrogate Modelling for the Optimization of SFE–SFC Methods: An HPLC 2025 Video Interview with Kevin Schug | LCGC International

Aretha Teckentrup (Edinburgh) - Surrogate models in Bayesian inverse problems

Multi-Objective Optimization of Shape With Deep Learning | Neural Concept