2021 Volume 28 Issue 1 Pages 35-45
We have developed a "material sequencer" that automatically and continuously evaluates various inorganic materials. This system is designed to collect data for use in machine learning analysis. Therefore, the output measurement data and metadata (data explaining the data) have been formatted. Each measuring instrument is housed in a space of about 40 cm square, and is modularized in terms of sample access method and control input/output. The sample is transported by a transport cart moving on the rail, and the measurement is accessed from the top surface of the sample. The sample is objected for 0.5-inch size inorganic materials. Currently, image measurement, reflection measurement, resistance measurement can be performed in this system, and the measuring instruments can be further expanded.