An end-to-end approach to predict physical properties of heterogeneous porous media: Coupling deep learning and physics-based features-Reference-Cited by-同舟云学术

An end-to-end approach to predict physical properties of heterogeneous porous media: Coupling deep learning and physics-based features

Published:2023-11 Issue: Volume:352 Page:128753
ISSN:0016-2361
Container-title:Fuel
language:en
Short-container-title:Fuel

Author:

Wu Yuqi^ORCID,An Senyou^ORCID,Tahmasebi Pejman,Liu Keyu^ORCID,Lin Chengyan,Kamrava Serveh,Liu Chang,Yu Chenyang^ORCID,Zhang Tao,Sun Shuyu,Krevor Samuel,Niasar Vahid

Publisher

Elsevier BV

Subject

Organic Chemistry,Energy Engineering and Power Technology,Fuel Technology,General Chemical Engineering

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