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Autonomous Structural Discovery Of Bioprocess Dynamics And Kinetics Via LLM-Driven Agents
High-fidelity digital twins in continuous biomanufacturing are often bottlenecked by incomplete kinetic models, while standard data-driven algorithms (e.g., SINDy, PINNs) lack interpretability or impose rigid physical assumptions. This paper introduces a hybrid closed-loop architecture for autonomou
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