The Advanced Photon Source
a U.S. Department of Energy Office of Science User Facility

APS Scientific Computation Seminar Series - 2021

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

Ptycho-Tomography for Grazing Incidence Reflection Geometry Experiments - October 11, 2021

Ashish Tripathi, Advanced Photon Source, Argonne National Laboratory

Abstract (pdf)

SPIRAL: AI for High Performance Code - September 27, 2021

Franz Franchetti, Carnegie Mellon University

Abstract (pdf)

Remote and On-the-Fly: Artificial Intelligence Driven Science in Laboratories and Central Facilities - September 13, 2021

Phil Maffettone, Brookhaven National Laboratory

Abstract (pdf)

Online Bayesian Optimization for the SECAR Recoil Mass Separator - August 23, 2021

Sara Miskovich, SLAC National Accelerator Laboratory

Abstract (pdf)

Method Development of X-Ray Ptychography:  Towards High-Resolution and High-Throughput Coherent Imaging - July 26, 2021

Yudong Yao, X-Ray Science Division, Argonne National Laboratory

Abstract (pdf)

AI/ML Developments for the ATLAS Ion Linac Facility - July 12, 2021

Brahim Mustapha, Physics Division, Argonne National Laboratory

Abstract (pdf)

Using Automatic Differentiation to Solve the Phase Problem in X-ray and Electron Microscopy - June 21, 2021

Tao Zhou, Nanoscience & Technology Division, Argonne National Laboratory

Abstract (pdf)

High Performance X-Ray Ptychography @CAMERA - June 7, 2021

Pablo Enfedaque, Computational Research Division, Lawrence Berkeley National Laboratory

Abstract (pdf)

High-Performance Python GPU Programming with CuPy - May 24, 2021

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

Christine Sweeney, Los Alamos National Laboratory

Abstract (pdf)

SG-LIMS: A Laboratory Information Management System for Macromolecular Crystallography - April 12, 2021

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

William Judge, UIC/ANL

Abstract (pdf)

Visually Navigating High-Dimensional and Complex Parameter Spaces - March 15, 2021

Daniel Orban, Graduate Student, University of Minnesota

Abstract (pdf)

Embedding Physics in Machine Learning for Computational Imaging - February 1, 2021

George Barbastathis, Massachusetts Institute of Technology

Abstract (pdf)

 

10.05.2021