AI/ML for Particle Accelerator, X-Ray Beamlines and Electron Microscopy

Session

Closing Session

3 Nov 2021, 13:30

Virtual

Conveners

Closing Session: Data, Computing and Modeling

• Nicholas Schwarz (APS / ANL)

Contribution list Timetable

28. Programmatic and Deep Learning Analysis Pipelines for 4D-STEM Materials Science Experiments

Colin Ophus (Lawrence Berkeley National Laboratory)

03/11/2021, 13:30

29. MLExchange, bringing machine learning to the beamline

Alexander Hexemer (Lawrence Berkeley National Laboratory)

03/11/2021, 13:55

30. The FNAL accelerator complex initial ML efforts and a conceptual AI roadmap for operations

Tia Miceli (NMSU)

03/11/2021, 14:20

31. Surrogate Models for Beam Transport and Particle Tracking

Jose Martinez (Argonne National Laboratory)

03/11/2021, 14:45

32. Open / Speaker Panel Discussion

03/11/2021, 15:05

33. Closing Remarks

Brahim Mustapha (Argonne National Laboratory), Olle Heinonen (Argonne National Laboratory)

03/11/2021, 15:40