A Pharmaceutical Research study trained Random Forest and XGBoost classifiers on particle size, shape, surface energy, and silica dry-coating data to predict powder blend flowability category. The accuracy holds up as a screening tool and breaks down in specific, predictable places.
Machine Learning Flowability Prediction: What Constituent-Property Models Can and Can’t Replace
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