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Pretraining neural CFD surrogates across diverse domains unlocks substantial gains in zero- and few-shot generalization, drastically reducing data requirements for new applications.
An LLM agent can autonomously screen and optimize catalysts with a 23-34% success rate, potentially revolutionizing materials discovery.
