This seminar series focuses on scientific computation for APS experiments. The series focuses on advanced software and computing infrastructure for analysis, reduction, reconstruction, and simulation. It provides an opportunity to learn about state-of-the-art computational techniques and tools and how they are being applied to science at the APS. It will start with talks from Argonne staff who are working on projects in collaboration or in support of APS science. |
| Compressed Sensing-based Data Collection Strategies - April 1, 2024 |
James Weng, Beamline Scientist, X-Ray Science Division, Advanced Photon Source (APS), Argonne National Laboratory Abstract (pdf) |
| Accelerating Diffraction Analysis Using the MAUD Interface Language Kit (MILK) - March 11, 2024 |
Dan Savage, Staff Scientist, Materials Science and Technology Division, Los Alamos National Laboratory (LANL) Abstract (pdf) |
| Widely Applied Kriging: From Mechanics to MRI - February 19, 2024 |
Keith A. Brown. Department of Mechanical Engineering, Physics, and Materials Science & Engineering. Boston University Abstract (pdf) |
| EJ-FAT (ESnet JLab - FPGA Accelerated Transport) - February 12, 2024 |
Yatish Kumar, ESnet Abstract (pdf) |
| Navigating the Data Deluge: AI, Infrastructure, and Decision-Making in the Era of Big Data - January 29, 2024 |
Joshua C. Agar, Assistant Professor, Department of Mechanical Engineering and Mechanics, Drexel University Abstract (pdf) |