Type Of Event
Workshop
Sponsoring Division
APS
Location
401/A1100
Building Number
401
Room Number
A1100
Date(s)
01-24-2020
Start Time
9:00 a.m.
Artificial Intelligence/Machine Learning (AI/ML) hold great potential to impact the work performed at the APS. There are many exciting activities already underway, and many more are being planned. Now is a great time to hold a workshop focused on AI/ML activities at the APS to meet with our colleagues, talk about current projects, discuss tools, exchange ideas and experiences, and inspire collaboration.
The APS AI/ML workshop will be held over two sessions: Tuesday, January 21, 2020 from 9 AM to Noon, and Friday, January 24, 2020 from 9 AM to Noon. Both sessions will be in Building 401 Room A1100.
Barbara Frosik, Nicholas Schwarz, Alec Sandy
Agenda:
| 9:00 | Machine Learning Enabled Advanced X-ray Spectroscopy in the APS-U Era Sun Chengjun, Maria Chan, Elise Jennings, Steve Heald, Xiaoyi Zhang |
| 9:15 | Integrating AI and Simulations for X-ray Data Interpretation Maria Chan |
| 9:30 | Real-time Coherent Diffraction Inversion Through Deep Learning Henry Chan, Mathew Cherukara, Ross Harder |
| 9:45 | Automatic Differentiation for 3D Bragg Ptychographic Reconstruction Tao Zhou, Mathew Cherukara, Martin Holt |
| 10:00 | Applications of the DLHub Learning System to Problems in Microscopy and Spectroscopy Marcus Schwarting, Logan Ward, Ryan Chard, CD Phatak, Tiberiu Stan, Zachary Thompson, Peter Voorhees, Ben Blaiszik, Ian Foster |
| 10:15 | Break/Group Photo |
| 10:45 | Cyberinfrastructure for Autonomous Science Ryan Chard, Ben Blaiszik, Ian Foster |
| 11:00 | Identifying and Separating Components of Heterogeneous Materials with Machine Learning Logan Ward, Marcus Schwarting |
| 11:15 | Data Science for In Situ Synthesis Wenqian Xu, Uta Ruett |
| 11:30 | Machine Learning for Identification and Removal of Spurious Data Kenley Pelzer, Brian Toby, Ross Harder |
| 11:45 | Application of Artificial Neural Network in the APS Linac Bunch Charge Transmission Efficiency Hairong Shang, Yine Sun |
| Noon | PDF studies of disordered materials using Machine Learning Chris Benmore, Ganesh Sivaraman, Alvaro Vazquez-Mayagoitia |