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 ...

In robust design studies, the important noise factors are varied systematically in off-line experiments and their interactions with control factors are investigated. The choice of the noise variable ...