MIND: Multi-Agent AI Co-Scientist Framework Automates Hypothesis-to-Experiment Loop

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MIND introduces an LLM-driven multi-agent framework for automated scientific research that goes beyond text-based reasoning to include automated experimental verification — addressing a key gap in prior AI-for-science systems that stopped at hypothesis generation. The framework orchestrates specialized agents for hypothesis formation, experimental design, and result analysis in material science research. Demonstrates a pattern (agent-driven hypothesis → automated experiment → feedback loop) applicable beyond materials science to any domain with automatable experiments.