How can something “immaterial,” like an atmosphere, be physical?

To determine the atmosphere of a specific location, we measure the temperature, humidity, ambient light, noise, and levels of carbon monoxide and nitrogen dioxide in any environment using sensors. The data from these continuous captures forms a limited, but useful enough representation of a local atmosphere, and serves to form and inform the design (or generation) of the 3D-model used to print an object. Using our customized 3D-software and Python, we can algorithmically associate formal transformations to an object based on the synthesis of the atmosphere’s qualities (hot, humid, dense, light…) and quantities (how much) based on its captured data. We can then apply these transformations to shape an object’s formal predisposition.