Data-Driven Microscopy Perspective Published in Microscopy and Analysis

Our revised perspective on data-driven microscopy has just been published in Microscopy and Analysis. In it, we describe the value of high-resolution electron microscopy to describe materials for electronics, catalysis, and energy storage. We show how machine learning and artificial intelligrence are accelerating developments in this cornerstone of materials characterization.

Download the article here.

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Quantifying Disorder via Graph Analytics at NeurIPS 2023

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Stage Motion Paper Published in M&M