Raising the cold reactor temperature in a two-reactor continuous crystallizer reduces magnesium impurity in the final lithium carbonate, and the authors used a human-in-the-loop active learning framework to find this relationship.
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Human-AI Synergy in Adaptive Active Learning for Continuous Lithium Carbonate Crystallization Optimization
Raising the cold reactor temperature in a two-reactor continuous crystallizer reduces magnesium impurity in the final lithium carbonate, and the authors used a human-in-the-loop active learning framework to find this relationship.