CORDIS Project
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This project focuses on developing automated algorithms for analyzing large datasets from electron microscopy. By leveraging machine learning, it aims to enhance the identification of atomic structures and defects in materials science.
In recent years, the analysis of large data sets is becoming increasingly important in the fields of material science and engineering.
There is a strong demand for real-time automated identification algorithms in electron microscopy (EM) for the analysis of atomic-structure, phases, and defects.
Unfortunately, it is non-trivial to obtain or extract meaningful scientific information from raw EM output digital data.
It requires a tedious process of filtering/fitting and the expertise of a seasoned…
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