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 ...

A variable's name is known as an identifier. The identifier given to a variable usually follows certain rules: It can contain letters and numbers but must start with a letter. It must contain at least ...

It is important that the results from scientific experiments are both accurate and precise. This means that the data collection needs to be accurate and precise as well. This way, we can be more ...