A Bayesian multiscale deep learning framework for flows in random media.

A Bayesian multiscale deep learning framework for flows in random media. FoDS ArXiv

Govinda Anantha Padmanabha, Nicholas Zabaras

PyTorch Implementation of A Bayesian multiscale deep learning framework for flows in random media.

Dependencies

PyTorch 1.0.0
Python 3
H5py
Matplotlib
Numpy

Citation

If you find this GitHub repository useful for your work, please consider to cite this work:

@article{padmanabha2021bayesian,
title={A Bayesian multiscale deep learning framework for flows in random media},
author={Padmanabha, Govinda Anantha and Zabaras, Nicholas},
journal={Foundations of Data Science},
year={2021},
publisher={American Institute of Mathematical Sciences}
}