Tutorials¶
Beginners Notebook¶
We recommend starting with our interactive beginner’s notebook to familiarize yourself with the toolkit. This notebook offers a clear, step-by-step introduction to the essential features of the aMACEing_toolkit, guiding you through fundamental operations and workflows. Accessible via Google Colab, the notebook requires no local installation, making it easy to start immediately. The standalone GitHub repository is also available for those who prefer to download and explore offline.
Access the beginner’s notebook here: Getting Started with aMACEing_toolkit and find the corresponding GitHub Repository.
In this notebook, you will learn how to fine-tune the MACE-MP-0 model using a quantum chemical reference dataset of bulk water.
- Content:
Pseudo-Generation of training data (using CP2K)
Fine-tuning of MACE-MP-0
Evaluation of fine-tuned foundation model
Evaluation of foundation model
Molecular dynamics simulation with fine-tuned model
Analysis
Basic and Advanced Notebooks¶
For users interested in exploring the full capabilities of the aMACEing_toolkit, we offer two additional interactive notebooks: a Basic Tutorial and an Advanced Tutorial. These provide more in-depth workflows and advanced features.
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CP2K Input Files: Geometry Optimization (GEO_OPT)
MACE Input Files: Molecular Dynamics (MD)
MACE Input Files: Fine-tuning
MatterSim Input Files: MD and Fine-tuning
SevenNet Input Files: MD and Fine-tuning
Recalculating reference trajectories with MACE
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Benchmarking MACE, MatterSim, and SevenNet models
Analyzing simulation trajectories
Preparing for error evaluation
Evaluating errors in the fine-tuned model
Obtaining citations for MACE runs
These notebooks can also be found in the /tutorials/ directory of the aMACEing_toolkit GitHub Repository.