Resources

Before the summer school it is recommended that participants get a Google account and a unique, persistent identifier (ORCID iD): https://orcid.org/register.

General Resources

Dummy Colab notebook: https://colab.research.google.com/drive/1HkcVD6qAZVGbhDAfSgOkszwwhvPb7C8f
Interactive UMAP web interface: https://umap-explore.fly.dev/
Foundry’s data management platform Crucible: crucible.lbl.gov · GitHub
gpCAM — project for HPC stochastic function approximation, uncertainty quantification, (Bayesian) optimization, decision-making under uncertainty, and autonomous experimentation: gpcam.lbl.gov
TEM agent: https://doi.org/10.1038/s41524-026-02103-z
- See SI movies for examples of how TEM Agent interactivity works
Multimodal in-situ characterization: https://doi.org/10.1002/adma.202309154
Python package for in situ data analysis: github.com/sutterfellalab/MultiModalAnalysis

WANDA Synthesis of CdSe Quantum Dots

Journal article describing method/setup: https://doi.org/10.1021/nl100669s
Video tutorial — Making libraries for WANDA in Library Studio: WANDA: Using Library Studio to make libraries for LTMR Rapid Serial Synthesis protocol
WANDA robot manual: WANDA manual - Main Protocol Tutorial EC3 opt.pdf
Biotek microplate reader manual: manual - Biotek plate reader.pdf

Resources from Accelerate Your Science with an AI Assistant

AI Tools for Literature Review

AI Tools for Data Analysis

AI Tools for Paper Drafting

Using LLM APIs

Day 2 Resources

Intro to Google Colab (Python notebook): colab.research.google.com/drive/16iSUJz5_9fKB0LM-7zz51ci8ddHs0zFn
Getting Your Data AI-Ready (Python notebook): colab.research.google.com/drive/10-vMAuufp7NPiCM9K0yzflL3d65sWyye
UMAP data clustering (Python notebook): colab.research.google.com/drive/16CGOBtQPD9-EEaGu2RrzlUTZguz2G5NT
Data with Crucible (Python notebook and data): github.com/MolecularFoundryCrucible/crucible-workshops

Day 3 Resources

Intro to neural net (Python notebook): colab.research.google.com/drive/1DyqG6EYfXatPTmHQ1zgEWJ99xSdF5i_i
Intro to generative models (Python notebook): colab.research.google.com/drive/12NjGq06Z5Ch5FUcC8HPqQD46CFUrGNEt
Intro to robotics for autonomous labs (Python notebook): colab.research.google.com/drive/1TOVGlSZl4o0yRIjtZlr57p2-C6rgacTz