In this paper, we investigate how LLMs can be utilized for chemistry discovery by leveraging SM as a guiding framework (figure ). Recognizing the limitations of traditional prompting approaches in fostering critical thinking and addressing complex scientific challenges, we propose integrating Socratic principles into prompt design tailored for chemistry and materials discovery. previously outlined ten foundational principles of SM, which serve as key strategies for fostering critical thinking and structured reasoning. However, these principles are not a direct representation of Socrates' original method but rather an interpretation based on modern applications of Socratic inquiry. Chang's framework is a structured formalization that captures the essence of Socratic questioning, but it is important to distinguish it from the historical Socratic dialogues, which were more fluid and context driven. While we follow up on Chang's work, we adapt and extend these principles specifically for scientific problem-solving in chemistry, bridging the gap between theoretical Socratic inquiry and its practical implementation in computational and experimental research. These principles-including definition, generalization, induction, elenchus, and hypothesis elimination-have been well-documented in philosophical and educational contexts. However, their direct application to scientific research, particularly in computational and experimental chemistry, remains underexplored. In this work, we expand upon and adapt these principles, designing Socratic prompts that facilitate hypothesis generation, mechanistic reasoning, and iterative problem-solving in chemistry and materials science.