Run in Google Colab

Each notebook is a complete, runnable workflow. Training runs in your Colab session (free GPU is enough): your data never leaves your Google account.

Notebook	What it does	Time
01 — Quickstart	published model, pick a target, read the report, explore the whole design space in 3D	5 min, CPU
02 — Your own data	upload table + CIFs → check → train → generate → download everything	15 min + training
03 — Add a rule	write a custom constraint in a few lines and see its effect before and after	5 min
04 — MEIDNet Studio in Colab	the live Studio inside the notebook, then the same blocks driven from Python	10 min

Block by block, like the Studio

Every notebook follows the seven blocks of the Studio, in order and in the same colours: Block 1 · Data (blue), Block 2 · Model (orange), Block 3 · Family (green), Block 4 · Rules (amber), Block 5 · Targets (pink), Block 6 · Search (dark green) and Block 7 · Candidates (violet). Each block starts with a coloured header saying what it does, has a form for its settings, shows its result as charts (and crystals in 3D where it helps), and ends by printing what flows on to the next block.

Run the cells from top to bottom (Runtime → Run all also works). Change a value in a form and re-run from that block on: the later blocks pick up the change.

The notebooks are generated from scripts/make_notebooks.py, so they stay in step with the command line.