A tailored and rapid approach for ozonation catalyst design

In a new study published in the journal Environmental Science and Ecotechnology, researchers from the Chinese Research Academy of Environment Sciences have employed machine learning, specifically the artificial neural network (ANN) model, to predict catalyst performance based on data collected from 52 different catalysts.


Click here for original story, A tailored and rapid approach for ozonation catalyst design


Source: Phys.org