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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 |
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Automatic Parameter Tuning for High-Resolution Ptychography |
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Yi Jiang, Beamline Data Scientist X-Ray Science Division, Argonne National Laboratory Abstract (pdf) |
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APS Ptychography Software |
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Daniel Ching, Assistant Computational Scientist and Steve Henke, Data Engineer; X-Ray Science Division, Argonne National Laboratory Abstract (pdf) |
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A Scalable, Real-Time Machine Vision Platform for Microscopy |
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Christopher R. Field, Theia Scientific LLC, Ann Arbor, Michigan Abstract (pdf) |
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In-situ TEM of the Radiation Effects on Material Microstructures in IVEM-Tandem Facility: Overview and Recent Development |
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Wei-Ying Chen, Materials Scientist, Nuclear Science and Engineering Division, Argonne National Laboratory Abstract (pdf) |
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Real-Time Reduction of Time-of-Flight Neutron Diffraction Data at the SNS |
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Christopher Fancher and Malcolm Guthrie, Oak Ridge National Laboratory Abstract (pdf) |
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Distributed Data and Workflow Management at JGI |
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Kjiersten Fagnan, Chief Informatics Officer, Joint Genome Institute, Lawrence Berkeley National Laboratory Abstract (pdf) |
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Data-guided, Multi-scale, and High-dimensional Understanding of the Battery Degradation |
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Yijin Liu, Stanford Synchrotron Radiation Lightsource, SLAC National Accelerator Laboratory Abstract (pdf) |
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TomopyUI: A User-Friendly Tool for Rapid Tomography Alignment and Reconstruction |
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Samuel S. Welborn, Ph.D. Abstract (pdf) |
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Deep Learning Based X-ray CT Reconstruction for Fast and High-Quality Characterization in Metal Additive Manufacturing Leveraging CAD Models and Physics-Based Information - April 25, 2022 |
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Amir Koushyar Ziabari, R&D Staff Scientist, Oak Ridge National Laboratory Abstract (pdf) |
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Machine Learning Phasing for Bragg Coherent Diffractive Imaging - April 11, 2022 |
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Ian Robinson, Brookhaven National Laboratory and University College London Abstract (pdf) |
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New Characterization Methods for Crystalline Materials at Fourth-Generation Coherent Light Sources - March 28, 2022 |
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Siddharth Maddali, Argonne National Laboratory Abstract (pdf) |
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X-Dart: A GUI Tool for XRD Data Visualization and Analysis Based on pyFAI and pyGIX - March 14, 2022 |
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Vivek Thampy, SLAC National Accelerator Laboratory Abstract (pdf) |
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Coded-Apertures for Depth-Resolved X-ray Laue Microdiffraction - February 14, 2022 |
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Doga Gursoy, Argonne National Laboratory Abstract (pdf) |
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Modeling PDF data from liquids: What’s next? - January 31, 2022 |
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Chris Benmore, Argonne National Laboratory Abstract (pdf) |