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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. APS Scientific Computation Seminar Series Home |
| 3D Object Reconstruction Beyond the Depth-of-Focus Limit Using Automatic Differentiation - August 20, 2018 |
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Ming Du, PhD Candidate, Department of Materials Science and Engineering, Northwestern University Abstract (pdf) |
| XRF-Maps: X-Ray Fluorescence Microscopy Software to Streamline Data Analysis - July 16, 2018 |
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Arthur Glowacki, X-Ray Science Division (XSD), Argonne National Laboratory Abstract (pdf) |
| Generalizing Ptychographic Reconstruction Using Automatic Differentiation - June 18, 2018 |
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Saugat Kandel, PhD Candidate, Northwestern University Abstract (pdf) |
| Data Challenges in Ultrafast X-Ray Imaging: Additive Manufacturing and Beyond - May 17, 2018 |
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Tao Sun, X-Ray Science Division (XSD), Argonne National Laboratory Jin Wang, X-Ray Science Division (XSD), Argonne National Laboratory Abstract (pdf) |
| 4D X-Ray Imaging and Modeling of Lattice Dynamics at the Nanoscale - April 16, 2018 |
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Mathew J. Cherukara, Microscopy Group, X-Ray Science Division (XSD), Argonne National Laboratory Abstract (pdf) |
| A Workflow for Segmentation of Teravoxel Tomographic Datasets - February 27, 2018 |
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Mehdi Tondravi, Chemistry of Life Processes Institute, Northwestern University Abstract (pdf) |