Monday, June 22: Atomic Resolution STEM and Physics from Atomic Positions
8:30 AM
9:00 AM
Welcome and Introduction — Kalinin, Duscher
9:00 AM
10:00 AM
Principles of Electron Optics and Aberration Correction in STEM — Duscher
10:00 AM
10:50 AM
Remote Aberration Correction in STEM — Duscher, Houston, Pratiush
10:50 AM
11:00 AM
Coffee Break
11:10 AM
12:00 PM
Simulation of Ronchigrams [Participant computer*] — Duscher
12:00 AM
1:00 PM
Lunch (provided for registered onsite participants)
1:00 PM
2:00 PM
Cloudifying STEM: APIs, cybersecurity, operation — Duscher, Houston
2:00 PM
2:50 PM
Building the STEM control agents — Sanchez
2:50 PM
3:10 PM
Coffee Break
3:10 PM
4:00 PM
Physics from STEM data [Participant computer*] — Kalinin, Houston
4:00 PM
5:00 PM
Hackathon 1: Image analysis pipelines

Tuesday, June 23: Electron Diffraction and 4D‑STEM
9:00 AM
10:00 AM
Introduction to Diffraction — Duscher
10:00 AM
10:50 AM
Remote Diffraction Acquisition in STEM — Duscher, Houston
10:50 AM
11:00 AM
Coffee Break
11:10 AM
12:00 PM
Simulation of Diffraction Pattern — Duscher
12:00 PM
1:00 PM
Lunch (provided for registered onsite participants)
1:00 PM
2:00 PM
Analyzing Diffraction Pattern [Participant computer*] — Duscher, Houston
2:00 PM
2:50 PM
4D STEM (guest lecture) — Ophus, Stanford
2:50 PM
3:10 PM
Coffee Break
3:10 PM
4:00 PM
Conventional and Smart Acquisition of 4D STEM — Houston
4:00 PM
5:00 PM
Hackathon 2: Data curation and unsupervised analysis of the diffraction data

Wednesday, June 24: Spectroscopic Data & ML‑Enabled Analysis
9:00 AM
10:00 AM
Introduction to Spectroscopy — Duscher
10:00 AM
10:50 AM
Remote Acquisition of EDS Spectra in STEM — Duscher, Houston
10:50 AM
11:00 AM
Coffee Break
11:10 AM
12:00 PM
Analysis of EDS [Participant computer*] — Duscher
12:00 PM
1:00 PM
Lunch (provided for registered onsite participants)
1:00 PM
2:00 PM
Federating STEM: from machine to network — Kalinin, BlueSky
2:00 PM
2:50 PM
Conventional Analysis of EELS [Participant computer*] — Duscher
2:50 PM
3:10 PM
Coffee Break
3:10 PM
4:00 PM
Machine Learning of Spectroscopic Datasets — Kalinin
4:00 PM
5:00 PM
Hackathon 3: ML‑Enhanced Analysis of EELS [Participant computer*] — Kalinin

Thursday, June 25: ML for STEM: From Post‑Acquisition to Real‑Time Analytics
9:00 AM
10:00 AM
Introduction to Workflows in Machine Learning — Kalinin
10:00 AM
10:50 AM
Convolutional Neural Network for Images — Heon
10:50 AM
11:00 AM
Coffee Break
11:10 AM
12:00 PM
VAE for Image and Spectrum Analysis — Kalinin
12:00 PM
1:00 PM
Lunch (provided for registered onsite participants)
1:00 PM
2:00 PM
Autonomous Operation — TF
2:00 PM
2:50 PM
ML-based tuning and drift correction — Houston, Kalinin
2:50 PM
3:10 PM
Coffee Break
3:10 PM
4:00 PM
Agentic analysis and streaming to theory — Choudhary, JHU
4:00 PM
5:00 PM
Hackathon 4: Building agents for STEM

Friday, June 26: Automated and Autonomous Electron Microscopy
9:00 AM
10:00 AM
Decision Making in Microscopy — Kalinin
10:00 AM
10:50 AM
Reward Functions for Decision Making — Kalinin
10:50 AM
11:00 AM
Coffee Break
11:10 AM
12:00 PM
Principles of Gaussian Processes and Bayesian Optimization — Kalinin
12:00 PM
1:00 PM
Lunch (provided for registered onsite participants)
1:00 PM
2:00 PM
Deep Kernel Neural Learning and hAE — Kalinin
2:00 PM
2:50 PM
AE Microscopy for Materials Exploration — Slautin
2:50 PM
3:10 PM
Coffee Break
3:10 PM
4:00 PM
Atomic Fabrication with STEM — Roccapriore, AtomQ
4:00 PM
4:30 PM
New opportunities for STEM — Lupini
4:30 PM
5:00 PM
Conclusion — Kalinin and Duscher

* A link to the Jupyter Notebook will be provided for participants to run it either in their local Python environment or in Google Colab.

Here you can view an example notebook.