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

APS Scientific Computation Seminar Series - 2022

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

TomopyUI: A User-Friendly Tool for Rapid Tomography Alignment and Reconstruction 

Samuel S. Welborn, Ph.D.

Abstract (pdf)

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

Amir Koushyar Ziabari, R&D Staff Scientist, Oak Ridge National Laboratory

Abstract (pdf)

Machine Learning Phasing for Bragg Coherent Diffractive Imaging - April 11, 2022

Ian Robinson, Brookhaven National Laboratory and University College London
Shinjae Yoo, Brookhaven National Laboratory
Longlong Wu, Brookhaven National Laboratory

Abstract (pdf)

New Characterization Methods for Crystalline Materials at Fourth-Generation Coherent Light Sources - March 28, 2022

Siddharth Maddali, Argonne National Laboratory

Abstract (pdf)

X-Dart: A GUI Tool for XRD Data Visualization and Analysis Based on pyFAI and pyGIX  - March 14, 2022

Vivek Thampy, SLAC National Accelerator Laboratory

Abstract (pdf)

Coded-Apertures for Depth-Resolved X-ray Laue Microdiffraction - February 14, 2022

Doga Gursoy, Argonne National Laboratory

Abstract (pdf)

Modeling PDF data from liquids: What’s next? - January 31, 2022

Chris Benmore, Argonne National Laboratory

Abstract (pdf)

 

06.01.2022