Researchers have developed AbsorbEvo, an agentic framework for autonomous inverse design of microwave absorbers, which uses natural language performance objectives and integrates language reasoning, physics-based prediction, and historical feedback.
AbsorbEvo provides a methodological foundation for natural-language-driven autonomous inverse design of microwave absorbers.
Abstract: Designing high-performance microwave absorbers requires specialized expertise in electromagnetic theory, materials science and simulation programming, and entails time-consuming optimization. Here, we present AbsorbEvo, an agentic framework for autonomous inverse design that translates natural-language performance objectives into designs verified by full-wave simulations. Its candidate…
