Developing High-Fidelity Dynamic and Ultrafast X-ray Imaging Tools for APS-Upgrade

PI Jin Wang, Argonne National Laboratory

Jin Wang

Project Description

This project will take advantage of the ALCF’s massively parallel computing power to develop a suite of algorithms and scalable code for processing the ultrafast high-throughput x-ray images at the Advanced Photon Source (APS), a DOE Office of Science User Facility. Utilizing real-time image pattern recognition and deep learning coupled with high-fidelity, high-throughput computational fluid dynamics and multiphysics simulations, this effort will complete the lifecycle of dynamic problems. This will benefit the imaging and scattering community while also laying the foundation for future high-resolution 4D imaging and coherent scattering. It will create new capabilities within APS user programs to address current high-impact scientific problems and problems to be confronted following the facility’s planned upgrade.