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Causal explanations just got scalable鈥擯robabilistic Causal Impact bridges the gap between rigorous causality and practical application, enabling nuanced insights from large datasets.
Causal AI reveals that optimizing support-to-catalyst ratios can dramatically enhance electrocatalyst performance, challenging traditional material design approaches.
