🔬 The presentations are now online!

🤓 If you missed the 4th Summer School on ML/AI for Electron Microscopy, now is a good time to dive in.

🤩 With more than 800 registrations and around 80 in-person participants, the school was a great success. The program covered everything from the fundamentals of STEM, diffraction, spectroscopy, and 4D-STEM to machine learning, agentic workflows, autonomous experimentation, digital twins, cloudified instrumentation, APIs and orchestrators, and atomic fabrication.

✨ The new presentations, notebooks, and course materials are now openly available.

🌠 And while you are there, take a look at some of the earlier “oldies but goodies” lectures as well, including detailed materials on:
-Piezoresponse force microscopy
-Machine learning for scanning probe microscopy
-Kelvin probe microscopy of active devices
- Automated and data-driven microscopy workflows

🎥 All materials are open, and the lecture videos are open as well.

🔎 Whether you are entering the field, teaching a course, or developing the next generation of automated scientific instruments, we hope these resources will be useful.

📤 Please share them with students, colleagues, and anyone interested in microscopy, machine learning, and autonomous experimentation.

🌐 https://lnkd.in/gEKAyWac

@PhysicsStation