Name: WSTHU4: Machine Learning Augmented X-Ray Scattering and Spectroscopies
Start: 2021-05-20T09:00:00-04:00
End: 2021-05-20T16:25:00-04:00
Location: Zoom Link: https://bnl.zoomgov.com/meeting/register/vJItce2qqT8uGBmmwIMGhT2qQjv__TqOkB0

WSTHU4: Machine Learning Augmented X-Ray Scattering and Spectroscopies

Thursday, 20 May 2021 - 09:00

Monday, 17 May 2021
Tuesday, 18 May 2021
Wednesday, 19 May 2021
Thursday, 20 May 2021
09:00 Keeping up with the data: accelerating discovery in a high data velocity world - Simon Billinge (Columbia University)
Keeping up with the data: accelerating discovery in a high data velocity world
- Simon Billinge (Columbia University)
09:00 - 09:45
Room: Virtual Workshop
09:45 Towards a Deep Neural Network for General Structure-Property Mapping of Complex Systems - Tom Penfold (Newcastle University)
Towards a Deep Neural Network for General Structure-Property Mapping of Complex Systems
- Tom Penfold (Newcastle University)
09:45 - 10:15
Room: Virtual Workshop
10:15 First principles near-edge X-ray absorption spectra database development: Workflow, validation and benchmarking - John Vinson (The National Institute of Standards and Technology)
First principles near-edge X-ray absorption spectra database development: Workflow, validation and benchmarking
- John Vinson (The National Institute of Standards and Technology)
10:15 - 10:45
Room: Virtual Workshop
10:45 Break
Break
10:45 - 10:55
Room: Virtual Workshop
10:55 Classifying and predicting x-ray absorption spectra using machine learning - Matthew Carbone (Columbia University)
Classifying and predicting x-ray absorption spectra using machine learning
- Matthew Carbone (Columbia University)
10:55 - 11:25
Room: Virtual Workshop
11:25 Latent Space Analysis of Spectra - Anatoly Frenkel (Stony Brook University)
Latent Space Analysis of Spectra
- Anatoly Frenkel (Stony Brook University)
11:25 - 11:55
Room: Virtual Workshop
11:55 Break
Break
11:55 - 13:00
Room: Virtual Workshop
13:00 Integrating Theory with Machine Learning in Accelerating Materials Characterization - Maria Chan (Argonne National Laboratory)
Integrating Theory with Machine Learning in Accelerating Materials Characterization
- Maria Chan (Argonne National Laboratory)
13:00 - 13:45
Room: Virtual Workshop
13:45 TBD - Alex Hexemer (Lawrence Berkeley National Laboratory)
TBD
- Alex Hexemer (Lawrence Berkeley National Laboratory)
13:45 - 14:15
Room: Virtual Workshop
14:15 Bypassing Quantum Mechanics for Material Science with Machine Learning - Emine Kucukbenli (Boston University)
Bypassing Quantum Mechanics for Material Science with Machine Learning
- Emine Kucukbenli (Boston University)
14:15 - 14:45
Room: Virtual Workshop
14:45 Break
Break
14:45 - 14:55
Room: Virtual Workshop
14:55 Time-resolved RIXS theory and applications in quantum materials - Yao Wang (Clemson University)
Time-resolved RIXS theory and applications in quantum materials
- Yao Wang (Clemson University)
14:55 - 15:25
Room: Virtual Workshop
15:25 Analysis of Synchrotron Extended X-ray Absorption Fine Structure (EXAFS) Data Using Artificial Intelligence Techniques - Jeff Terry (Illinois Institute of Technology)
Analysis of Synchrotron Extended X-ray Absorption Fine Structure (EXAFS) Data Using Artificial Intelligence Techniques
- Jeff Terry (Illinois Institute of Technology)
15:25 - 15:55
Room: Virtual Workshop
15:55 Artificial neural networks inverting 2p XAS spectra - Johann Luder (National Sun Yat-sen University)
Artificial neural networks inverting 2p XAS spectra
- Johann Luder (National Sun Yat-sen University)
15:55 - 16:25
Room: Virtual Workshop