The examples in Table illustrate how combining Socratic principles can address a wide range of scopes in chemistry discovery. These include catalysis and reaction engineering, coordination and organometallic chemistry, computational chemistry, thermodynamics and electrochemistry, physical organic chemistry, and kinetics. The Definition → Hypothesis Elimination → Dialectic approach begins by clarifying key terms (e.g., catalytic efficiency vs. turnover frequency in methanol synthesis), systematically eliminating unlikely hypotheses based on the refined definitions, and evaluating competing perspectives through structured debate, making it particularly effective for tasks requiring precision, such as evaluating competing metrics in catalysis or material performance. Similarly, the Generalization → Induction → Elenchus sequence helps identify patterns (e.g., general trends in ligand structure and deviations among dblock metals), derive testable hypotheses, and critically evaluate these hypotheses, making it ideal for understanding ligand behaviors or material trends critical to applications like sustainable catalysis and drug design. On the other hand, Recollection → Definition → Hypothesis Elimination emphasizes building on foundational knowledge, enabling researchers to bridge disciplines by applying well-established principles (e.g., thermodynamic spontaneity and its relationship to redox reactions in aqueous systems), to novel electrochemical systems. The Elenchus → Analogy → Induction approach fosters creative problem-solving, where analogies (e.g., comparing catalytic mechanisms to known homogeneous catalysis processes) guide hypotheses about mechanisms or intermediates in catalytic cycles, helping uncover innovative insights. Lastly, the Irony → Elenchus → Hypothesis Elimination combination addresses contradictions, such as unexpected thermodynamic or kinetic behaviors in spontaneous reactions requiring external energy input, by critically interrogating assumptions and systematically narrowing down possible explanations. Together, these examples underscore the versatility of mixed approaches in adapting to the nuanced and multifaceted challenges inherent to chemistry research. To ensure clarity in the mixed-method approach, we note that while Generalization identifies overarching principles from observed patterns, Induction builds upon these principles by forming specific hypotheses from empirical data. Additionally, when Socratic prompts are applied sequentially, the initial prompt inherently refines the context for subsequent prompts, often functioning as a Definition that shapes the model's reasoning process. Building on these examples, the diverse combinations of Socratic principles showcase the expansive applicability and transformative potential of integrating these principles into LLM prompting to advance chemistry discovery. First, mixed approaches allow for flexibility by tailoring the inquiry process to the problem's specific needs, enabling seamless transitions between clarification, critique, and hypothesis generation, as seen in approaches like Definition → Hypothesis Elimination → Dialectic for catalysis metrics evaluation. Second, they enhance depth by combining principles like elenchus and hypothesis elimination to rigorously test ideas while encouraging creativity through analogy or induction, as demonstrated in catalytic cycle analysis using the Elenchus → Analogy → Induction sequence. Third, they ensure robustness by fostering iterative refinement, where definitions are clarified, assumptions are tested, and new ideas are continually generated, exemplified by Recollection → Definition → Hypothesis in crossdisciplinary applications like electrochemical systems.