Squeeze Flow & CNN-TTR

This repository serves as the supporting package and dataset for the following paper:

Aryan Mehboudi, Shrawan Singhal, and S.V. Sreenivasan, "Squeeze flow of micro-droplets: convolutional neural network with trainable and tunable refinement", arXiv 2022, [Link].

Cite as: arXiv:2211.09061

• The package comes with a small dataset for test.

• The full dataset can be accessed from this box drive.

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Instructions

Note: Depending on your OS, you may need to use python3 or py instead of python in the following steps.

To create a virtual environment:

python -m venv env

Activate your env:

Unix/macOS: source env/bin/activate

Windows: .\env\Scripts\activate

Install the requirements:

python -m pip install -r requirements

To run the tutorial and print output to a file:

python ./tutorial_load_dataset.py > out.txt

The log information will then be written into the out.txt file.