Ferran Brosa Planella

LLMs as Representation Generators for Gradient‐Free Scientific Optimization: A Case Study in Battery Fast Charging

ABSTRACT Scientific optimization problems are often characterized by slow, expensive, and non‐differentiable evaluations, which severely limit efficient exploration of rich design spaces. In these settings, performance depends not only on the optimizer itself, but also on whether the chosen search space can represent g...