Software and dataset for paper "Deep learning for modeling the evolution of droplet size distribution in liquid-liquid dispersed systems"

Structure of the repository This repository is organized into two archives: code and figures. The archive code contains the dataset generation and model training pipelines used to produce the results described in the manuscript.The figures archive contains the visualization and post-processing scripts, together with all data required to reproduce the figures and tables reported in the paper. Sofware and packages: - python: 3.11.13- pytorch: 2.5.1- pytorch-cuda: 12.4- numpy: 2.0.1- scipy: 1.15.3- pandas: 2.2.3- matplotlib: 3.10.1- scikit-learn: 1.6.1- joblib: 1.4.2- seaborn: 0.13.2- torchdiffeq: 0.2.2

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