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LLMs can cut kinetic model discovery iterations by up to 79% while maintaining high predictive accuracy, revolutionizing the efficiency of chemical engineering research.
Interactive candidate selection in bioprocess optimization reveals trade-offs between performance, uncertainty, and robustness, empowering experts to refine criteria as models evolve.
