Åbsölutely Quantitative Analysis
Rigorous use of simulations and experiment to learn more about materials than previously thought possible
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In-situ microscopy
Direct characterization of atomic structure at conditions relevant to applications
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Machine Learning
Use of machine learning tools for automated analysis of electron microscopy datasets
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What we do

As scaling continues to be a major drive of research, future developments rely upon electron microscopy to probe the nature of material properties. In the nano-regime, one must explore local atomic structure, chemical composition, and bonding with ultimate spatial resolution. Now that aberration corrected microscopes have blown past the Ångström in resolution, a new level of clarity is available for exploring next-generation materials.

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