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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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High Speed and Accuracy Scientific Data Reduction with SZ - December 13, 2021 |
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Franck Cappello, Argonne National Laboratory Abstract (pdf) |
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The National Science Data Fabric: Democratizing Data Access for Science and Society - November 29, 2021 |
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Valerio Pascucci, University of Utah and Center for Extreme Data Management Analysis and Visualization (CEDMAV) Abstract (pdf) |
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Automation at the Pace of Relevance and Speed - November 8, 2021 |
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Jeffery A. Aguiar, Advanced Technology Center (ATC), Lockheed Martin Space Abstract (pdf) |
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Ptycho-Tomography for Grazing Incidence Reflection Geometry Experiments - October 11, 2021 |
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Ashish Tripathi, Advanced Photon Source, Argonne National Laboratory Abstract (pdf) |
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SPIRAL: AI for High Performance Code - September 27, 2021 |
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Franz Franchetti, Carnegie Mellon University Abstract (pdf) |
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Remote and On-the-Fly: Artificial Intelligence Driven Science in Laboratories and Central Facilities - September 13, 2021 |
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Phil Maffettone, Brookhaven National Laboratory Abstract (pdf) |
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Online Bayesian Optimization for the SECAR Recoil Mass Separator - August 23, 2021 |
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Sara Miskovich, SLAC National Accelerator Laboratory Abstract (pdf) |
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Method Development of X-Ray Ptychography: Towards High-Resolution and High-Throughput Coherent Imaging - July 26, 2021 |
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Yudong Yao, X-Ray Science Division, Argonne National Laboratory Abstract (pdf) |
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AI/ML Developments for the ATLAS Ion Linac Facility - July 12, 2021 |
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Brahim Mustapha, Physics Division, Argonne National Laboratory Abstract (pdf) |
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Using Automatic Differentiation to Solve the Phase Problem in X-ray and Electron Microscopy - June 21, 2021 |
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Tao Zhou, Nanoscience & Technology Division, Argonne National Laboratory Abstract (pdf) |
| High Performance X-Ray Ptychography @CAMERA - June 7, 2021 |
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Pablo Enfedaque, Computational Research Division, Lawrence Berkeley National Laboratory Abstract (pdf) |
| High-Performance Python GPU Programming with CuPy - May 24, 2021 |
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Yao-Lung Leo Fang, Computational Science Initiative, Brookhaven National Laboratory Abstract (pdf) |
| Data Science for Real-time Experimental Workflows at User Light Sources - April 26, 2021 |
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Christine Sweeney, Los Alamos National Laboratory Abstract (pdf) |
| SG-LIMS: A Laboratory Information Management System for Macromolecular Crystallography - April 12, 2021 |
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Gyorgy Babnigg, Bioinformatician/Molecular Biologist, Argonne National Laboratory Abstract (pdf) |
| TomoSuite: A User Friendly Hub of Machine Learning Pipelines for Tomographic Enhancements - March 29, 2021 |
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William Judge, UIC/ANL Abstract (pdf) |
| Visually Navigating High-Dimensional and Complex Parameter Spaces - March 15, 2021 |
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Daniel Orban, Graduate Student, University of Minnesota Abstract (pdf) |
| Embedding Physics in Machine Learning for Computational Imaging - February 1, 2021 |
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George Barbastathis, Massachusetts Institute of Technology Abstract (pdf) |