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.

Cepheid variable stars exhibit regular pulsations whose period directly correlates with their intrinsic brightness (absolute luminosity). The Leavitt law establishes this relationship between ...

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 ...

The hypothesis that environmental variability promotes phytoplankton species diversity was investigated experimentally using phosphorus-limited continuous cultures. Variability was introduced as a ...