Process-based machine learning toolbox for probing transport dynamics in microfluidics devices

This repository contains dataset for constructing process-based machine learning toolbox for analyzing microfluidics experiments, Python script to perform Lattice-Boltzmann simulation for generating the training samples, results of the process-based machine learning methods, and the library for constructing the process-based machine learning and setting up the lattice-Boltzmann simulation. For detailed Python codes, please cehck our Github repository: https://github.com/FZJ-RT/cac.git