APS Scientific Computation Seminar Series - 2024

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

Autonomous Hyperspectral Neutron Computed Tomography at the Spallation Neutron Source VENUS Beamline using Artificial Intelligence - November 4, 2024

Shimin Tang, Postdoc, Oak Ridge National Laboratory

Abstract (pdf)

Algorithm-Driven Advances for Autonomous Scientific Imaging Instruments - August 12, 2024

S. V. Venkatakrishnan, R&D Staff Member, Multimodal Sensor Analytics Group, Oak Ridge National Laboratory

Abstract (pdf)

Using Computation at the Advanced Light Source for Better Beams and Unleashing the Power of Coherence - July 29, 2024

Antoine Islegen-Wojdyla, Optical Scientist, Advanced Light Source

Abstract (pdf)

Modular Solutions for Obsolete Data Acquisition Hardware - July 15, 2024

Rob Knudson, DAQ Hardware Group Leader, Neutron Sciences Directorate, Oak Ridge National Lab 

Abstract (pdf)

Compressed Sensing-based Data Collection Strategies - April 1, 2024

James Weng, Beamline Scientist, X-Ray Science Division, Advanced Photon Source (APS), Argonne National Laboratory

Abstract (pdf)

Accelerating Diffraction Analysis Using the MAUD Interface Language Kit (MILK) - March 11, 2024

Dan Savage, Staff Scientist, Materials Science and Technology Division, Los Alamos National Laboratory (LANL)

Abstract (pdf)

Widely Applied Kriging: From Mechanics to MRI - February 19, 2024

Keith A. Brown. Department of Mechanical Engineering, Physics, and Materials Science & Engineering. Boston University 

Abstract (pdf)

EJ-FAT (ESnet JLab - FPGA Accelerated Transport) - February 12, 2024

Yatish Kumar, ESnet

Abstract (pdf)

Navigating the Data Deluge: AI, Infrastructure, and Decision-Making in the Era of Big Data - January 29, 2024

Joshua C. Agar, Assistant Professor, Department of Mechanical Engineering and Mechanics, Drexel University

Abstract (pdf)