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Rapid modelling of reactive transport in porous media using machine learning: limitations and solutions

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Rapid modelling of reactive transport in porous media using machine learning: limitations and solutions

This repository is the official implementation of:

Rapid modelling of reactive transport in porous media using machine learning: limitations and solutions (Submitted to Water Resources Research )

Directories:

  • datasets: Train and test datasets.
  • machine_learning_models: Grid search for different machine learning models.
  • rollout: Results from the rollout.

Requirements

To install requirements:

 $ conda env create -f environment.yml 
 $ conda activate py3ml2
 $ python -m ipykernel install --user --name=python3 (opitional)

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Rapid modelling of reactive transport in porous media using machine learning: limitations and solutions

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