Agentic AI for Autonomous Scientific Discovery: A Framework for Hypothesis Generation and Experimentation

This paper introduces a novel agentic AI framework designed to autonomously generate scientific hypotheses, design experiments, and analyze results. Leveraging advanced reasoning and large language models, the system aims to accelerate discovery across various scientific domains, reducing human intervention and fostering rapid iterative research cycles. Potential applications include drug discovery, material science, and climate modeling.