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University of Tennessee
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Reinforcement learning can autonomously uncover transition states without the need for initial guesses or extensive training datasets, revolutionizing chemical reaction discovery.
Fine-tuning with just 30% of high-fidelity data can achieve quantum-chemical accuracy while slashing computational costs by 60%.
