November 7, 2022
9:00 AM – 4:00 PM
MIT.nano, Building 12 Room 0168
Sponsored by ThermoFisher.
>>Register.
This workshop is designed to bring together materials scientists, electron microscopists, and machine learning researchers to highlight recent advances in applying machine learning and automation to streamline electron microscopy data collection, analysis, and enable new discoveries. To this end, the workshop will emphasize using AI and ML to improve electron microscopy repeatability, speed, reducing bias, and enabling new approaches. This workshop also seeks to identify the challenges and opportunities in applying artificial intelligence in this application space.
Schedule
9:00 – 9:25: James LeBeau (MIT)
9:25 – 9:45: David Muller (Cornell)
9:45 –10:10: Rengarajan Pelapur (Thermo Fisher Scientific)
10:10 –10:35: Maxim Ziatdinov (ORNL)
10:35 –10:55: Coffee break
10:55 – 11:20: Robert Hovden (University of Michigan)
11:20 – 11:45: Jillian Cramer (Univ. of Kentucky)
11:45 – 12:10: Carolin Wahl (Northwestern)
12:10 – 12:35: Alexander Pattison (NCEM)
12:35 – 1:30: Lunch break
1:30 – 2:15: Hands on tutorial (Thermo)
2:15 – 2:30: Break
2:30 – 3:30: Lightning talks
3:30 – 4:30: Roundtable discussion
Lodging
Boston Marriott Cambridge
50 Broadway
Cambridge, MA 02142
The Kendall Hotel
350 Main Street
Cambridge, MA 02142