AI-Driven Superalloy Design: Language Models Learn from Physics

This research explores a novel application of language models, utilizing physics-based feedback to refine their ability to design complex materials. The study's focus on superalloys indicates a potential for significant advancements in material science and engineering.

• •Applies preference learning techniques to materials science.
• •Utilizes physics-based feedback for improved design accuracy.
• •Focuses on designing BCC/B2 superalloys, critical for high-performance applications.