• data.tar.gz: A compressed archive with the datasets, evaluation results, and figures data
• models.tar.gz: A compressed archive with the trained PET-MAD model, as well as the problem-specific bespoke and LoRA-finetuned models for each of the six materials considered in the paper.
• figures.tar.gz: A compressed archive with the generated figures in PDF, SVG and PNG formats
• inputs.tar.gz: A compressed archive with the inputs data used for PET-MAD training and running the problem-specific simulations.
• notebooks.tar.gz: A compressed archive with the Jupyter Notebooks used for generating the figures in the paper.
• requirements.txt: A list of the Python packages used for generating the figures in the paper.
• README.md: This file.