Advanced Photon Source

An Office of Science National User Facility

APS Scientific Computation Seminar Series

Sessions will normally be held on the 3rd Monday of the month at 1:00 p.m. and last approximately one hour.

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.

Next Seminar:
Title: 4D X-Ray Imaging and Modeling of Lattice Dynamics at the Nanoscale
Presenters:  Mathew J. Cherukara, Postdoctoral Appointee, Microscopy Group, X-Ray Science Division, Advanced Photon Source, Argonne National Laboratory
Date: April 16, 2018
Time: 1:00 p.m.
Location: 401/A1100

Observing the dynamic behavior of materials following ultra-fast excitation can reveal insights into the response of materials under non-equilibrium conditions of pressure, temperature, and deformation. Material response under such conditions is challenging to characterize especially at the nano to mesoscopic spatio-temporal scales. Time-resolved coherent diffraction imaging (CDI) is a unique technique that enables three-dimensional imaging of lattice structure and strain on sub-ns timescales. In such a ‘pump-probe’ technique, stroboscopic x-ray ‘probes’ are used to image the transient response of a sample following its excitation by a laser ‘pump.’ Data from these characterization studies also serve as inputs to material models, which are in turn used to make predictions at spatio-temporal scales inaccessible to the experiment. In this talk, I will present some of our recent work on imaging and modeling of phonon transport and lattice dynamics in nanomaterials. I will also describe our work in the development of a machine learning framework that enables rapid and accurate development of material models applicable to a wide variety of materials properties including thermal transport.

Previous Seminars:

2018 | 2017 | 2016 | 2015