AI Tool Developed to Automate Spectroscopic Ellipsometry Data Analysis

A University of Toledo physics doctoral student has developed new artificial intelligence technology to automate the interpretation of data from spectroscopic ellipsometry. This technique, crucial for measuring thin material properties, often faces a bottleneck due to labor-intensive data analysis. The AI tool is expected to significantly reduce analysis time, benefiting the semiconductor and energy sectors by streamlining research and industrial processes.