Hypothesis Generation for Materials Discovery and Design Using
Goal-Driven and Constraint-Guided LLM Agents
Hypothesis Generation for Materials Discovery and Design Using
Goal-Driven and Constraint-Guided LLM Agents
Materials discovery and design are essential for advancing technology across various industries by enabling the development of application-specific materials. Recent research has leveraged Large Language Models (LLMs) to accelerate this process. We explore the potential of LLMs to generate viable hypotheses that, once validated, can expedite materials discovery. Collaborating with …