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Artificial Intelligence Enabled Advanced X-ray Spectroscopy in the APS-U Era

Argonne applying artificial intelligence methods to achieve real-time data interpretation to steer experiments.

Multi-modal characterization techniques will dramatically accelerate materials research and discovery; however, this development will result in the generation of significant quantities of data. Specifically, the advanced concept of simultaneous multimodal X-ray microprobe measurements (X-ray fluorescence, emission, and diffraction) for APS-U enhancement beamline 25-ID, will achieve full structural, chemical, and compositional information in an X-ray image with micron resolution over cm length scales...

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