AI RESEARCH
MIND: AI Co-Scientist for Material Research
arXiv CS.AI
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ArXi:2604.13699v1 Announce Type: cross Large language models (LLMs) have enabled agentic AI systems for scientific discovery, but most approaches remain limited to textbased reasoning without automated experimental verification. We propose MIND, an LLM-driven framework for automated hypothesis validation in materials research. MIND organizes the scientific discovery process into hypothesis refinement, experimentation, and debate-based validation within a multi-agent pipeline.