Direct Spatiotemporal Observation of Crystallization Pathways and Nanoscale Crystal Writing in an Amorphous Alloy

This repository contains scanning transmission electron microscopy (STEM) datasets and processing files used in the study “Direct Spatiotemporal Observation of Crystallization Pathways and Nanoscale Crystal Writing in an Amorphous Alloy”. The deposited data and accompanying scripts are provided to reproduce the data processing and figures presented in the manuscript. Prerequisites The processing scripts require several open-source Python packages. The package versions used for the analysis are specified in the included environment.yml file, which can be used to recreate the Conda environment used for data processing and figure generation. Data files The experimental datasets are provided as compressed .7z archives and are divided according to the corresponding sections of the manuscript: part1_structural_evolution contains the datasets used to investigate the structural evolution of the amorphous material during electron-beam irradiation. part2_probe-condition_dependence contains the datasets used to investigate the dependence of beam-induced crystallization on the electron-probe conditions. part3_crystal_growth contains the datasets used to characterize the evolution and growth of beam-induced crystalline regions. part4_line_creation contains the datasets used to investigate overlapping irradiation and the creation of extended crystalline structures. supplementary contains additional datasets used for analyses and figures presented in the Supplementary Material. The organization of the datasets follows the structure of the manuscript and the corresponding sections of the processing notebook. Processing scripts The main processing and figure-generation routines are contained in the Jupyter notebook figures_for_paper.ipynb. The notebook is divided into four main sections corresponding to the four parts of the study listed above, together with a supplementary section. Two additional Python files contain helper functions used by the notebook. Together, these files provide the routines used to process the experimental data and reproduce the figures presented in the manuscript. The required package versions and dependencies are listed in environment.yml.