Today was the second day of the machine learning workshop on coatings. After having focused on the components of coatings, today our focus went to characterization and deposition. The set of available characterization techniques is as extensive as the possible components to use. There was, however, one thing which grabbed my attention: “The magical human observer”. Several characterization techniques were presented to heavily rely on the human observer’s opinion and Fingerspitzengefühl. Sometimes this even came with the suggestion that such a human observer outperforms the numerical results of characterization machinery. This makes me wonder if this isn’t an indication of a poor translation of the human concept to the experiment intended to perform the same characterization. Another important factor to keep in mind when building automation frameworks and machine learning models.
In the afternoon, we again put on our lab coats and goggles. The task of the day: put our raspberry pink lacquer on different substrates and characterize the glossiness (visually) and the pendulum hardness.
Tomorrow the machine learning will kick in.