🔀Cross-Data-Stream Pattern Detection

Atomscale's data model enables automated search for patterns within connected data. Early relationship identification accelerates materials engineering and synthesis control.

A strong relationship between a combination of process variables and growth quality was found.

Correlation of AFM Roughness with Temperature and Flux Ratio provided a tool for growth engineering. Separating the data set into train and test segments a strong predictive relationship was uncovered.