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

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.