Advances in instrumentation have dramatically increased the complexities associated with experimental facilities. This includes enhanced facility capabilities as well as a substantial increase in the data generated. Consequently, the control and diagnostics of these experimental facilities are becoming increasingly complex, and the large output data streams necessitate smarter and more automated management and analyses of the data. Artificial Intelligence (AI) methods hold the promise of substantially improved management, control, and data analyses with the potential to dramatically increase experimental efficiencies as well as expanding and accelerating scientific discoveries.

Argonne is the home to world-leading facilities such as the Advanced Photon Source (APS), the Argonne Tandem Linear Accelerator (ATLAS), the Argonne Wakefield Accelerator (AWA), and the Electron Microscopy Center at the Center for Nanoscale Materials (CNM). In order to highlight AI opportunities in these facilities, Argonne is hosting a workshop on AI for with participants drawn from 3 communities: particle accelerators, X-ray beamlines and electron microscopy. The goals of the workshop are:

• review problems in control,  diagnostics, and data management that can be remedied by AI tools, 
• explore commonalities in problems and potential AI solutions across the 3 communities: particle accelerators, X-ray beamlines, and electron microscopy, and
• stimulate interactions across the communities to better leverage expertise and resources.

The topics covered will be:

• Tuning and Control
• Data Analytics
• Failure Detection, Virtual Diagnostics, and Digital Twins
• Imaging and Data Processing
• Autonomous Discovery
• Data, Computing, and Modeling

Each topic will open with invited presentations that give an overview of the current state, and set the stage for discussions – the discussions are the central part of the workshop and we will encourage broad and lively participation in the discussions. 

The workshop is open to all of Argonne. Registration information is at the Indico link: https://indico.fnal.gov/event/50731/

WORKSHOP ORGANIZERS FROM EACH OF THE THREE COMMUNITIES