Automating Semiconductor Research with Machine Learning

Concept new to me, as is RHEED

 Automating Semiconductor Research with Machine Learning

Tokyo University of Science (Japan), June 16, 2022

Researchers at Japan's Tokyo University of Science and National Institute for Materials Science found that machine learning techniques can be used to automate the analysis of large amounts of reflection high-energy electron diffraction (RHEED) data. RHEED is able to identify structures that form on the surface of thin films at the atomic level and observe real-time structural changes while the thin film is synthesized. The researchers found Ward's method of hierarchical clustering was best able to capture phase transitions in surface superstructures, and also that non-negative matrix factorization can automatically determine optimal deposition times for each superstructure. ....