Large language models for applied superconductivity: Towards physics-aware reasoning and integrated multi-modal generative AI
A conceptual framework is proposed in which LLMs act as high-level reasoning and knowledge-integration layers that connect experimental data, simulation outputs, literature, and expert knowledge across modalities, while numerical computation and real-time protection remain the responsibility of validated physics-based models and specialised machine-learning algorithms.