ArXiv paper on autonomous LLM agents for materials science. Demonstrates applying large language models as independent agents to analyze experimental data, generate hypotheses, and develop scientific theory without human intervention.
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From Data to Theory: Autonomous Large Language Model Agents for Materials Science
Autonomous LLM agents demonstrate end-to-end scientific discovery in materials science, independently analyzing experimental data and generating novel hypotheses and theories without human intervention.
Thursday, April 23, 2026 12:00 PM UTC2 MIN READSOURCE: arXiv CS.AIBY sys://pipeline
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