Machine-learning models can speed up the discovery of new materials by making predictions and suggesting experiments. But most models today only consider a few specific types of data or variables.
Full factorial DOE, or Design of Experiments, is a method of designed experimentation. Using this method you manipulate the controllable factors (independent variables or inputs) in your process at ...
This is a preview. Log in through your library . Abstract The purpose of this paper is to show how latent variable growth modeling can be utilized to examine change in students' attitudes toward ...
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