The increasing complexity of modern antenna architectures demands extensive electromagnetic (EM) simulations, which can be computationally expensive and time‐consuming. Surrogate modelling offers a ...

Abstract: The AFOSR MURI effort, titled “A Robust Multi-Physics Design Analysis and Optimization Framework for Hypersonic Systems Grounded in Rigorous Model Reduction,” unites a multi-disciplinary ...

This illustration shows how an AI-based “surrogate brain” is learned from neural data by combining forward modeling with inverse problem solving. Once trained, the surrogate brain can predict future ...

Multifidelity optimization can inform decision-making during process development and reduce the number of experiments ...