BibTex format
@article{Wu:2024:10.1016/j.fuel.2024.131358,
author = {Wu, Y and An, S and Tahmasebi, P and Liu, K and Lin, C and Kamrava, S and Liu, C and Yu, C and Zhang, T and Sun, S and Krevor, S and Niasar, V},
doi = {10.1016/j.fuel.2024.131358},
journal = {FUEL},
title = {An end-to-end approach to predict physical properties of heterogeneous porous media: Coupling deep learning and physics-based features (vol 352, 128753, 2023)},
url = {http://dx.doi.org/10.1016/j.fuel.2024.131358},
volume = {364},
year = {2024}
}
RIS format (EndNote, RefMan)
TY - JOUR
AU - Wu,Y
AU - An,S
AU - Tahmasebi,P
AU - Liu,K
AU - Lin,C
AU - Kamrava,S
AU - Liu,C
AU - Yu,C
AU - Zhang,T
AU - Sun,S
AU - Krevor,S
AU - Niasar,V
DO - 10.1016/j.fuel.2024.131358
PY - 2024///
SN - 0016-2361
TI - An end-to-end approach to predict physical properties of heterogeneous porous media: Coupling deep learning and physics-based features (vol 352, 128753, 2023)
T2 - FUEL
UR - http://dx.doi.org/10.1016/j.fuel.2024.131358
VL - 364
ER -