Machine learning-enabled multivariate optimization and model-inferred process associations in the co-precipitation synthesis of Y2O3 nanoparticles.
The co-precipitation synthesis of yttrium oxide (Y2O3) nanoparticles involves coupled precursor, acidity, dispersant, and thermal variables. We developed a machine-learning workflow to model average particle size from 30 MaxMin-sampled experiments in a six-dimensional process space. Nine regression algorithms were comp...