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. |
| AI-Driven Approaches for X-ray Diffraction: Rapid Plastic Deformation Detection and Scalable ML Infrastructure - March 17, 2025 |
Weijian Zheng, Data Science & Learning Division Abstract (pdf) |
| HPC-driven autonomous experiments in action - February 17, 2025 |
Ayana Ghosh, Research Scientist, Oak Ridge National Laboratory, Tennessee Abstract (pdf) |