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The scanning transmission electron microscope (STEM) provides unprecedented spatial resolution and is critical for many applications, primarily for imaging matter at the atomic and nanoscales and obtaining spectroscopic information at similar length scales.

Wind or hydro power are predominantly large-scale with giant generators to convert wind or water captured by turbines into electricity. But residential-sized wind turbines could generate power for a whole house.

There is a strong drive to improve the electrical performance of a power module for power electronics applications including transportation, buildings, renewables, and power delivery.

Wireless charging systems need to operate at high frequency, at or near resonance, to maximize power transfer distance and efficiency. High voltages appear across the inductors and capacitors. The use of discrete components reduces efficiency, increases system complexity.

In scientific research and industrial applications, selecting the most accurate model to describe a relationship between input parameters and target characteristics of experiments is crucial.

This invention presents technologies for characterizing physical properties of a sample's surface by combining image processing with machine learning techniques.

This invention introduces a system for microscopy called pan-sharpening, enabling the generation of images with both full-spatial and full-spectral resolution without needing to capture the entire dataset, significantly reducing data acquisition time.

ORNL has developed a revolutionary system for wirelessly transferring power to electric vehicles and energy storage systems, enabling efficient, contactless charging.