Corrigendum: Deep-learning-based surrogate model for fast and accurate simulation in pipeline transport(Front. Energy Res., (2022), 10, (979168), 10..3389/fenrg.2022.979168)

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|

作者：

Qin, Feng ^{[1
]}

Yan, Zhenghe ^{[1
]}

Yang, Peng ^{[1
]}

Tang, Shenglai ^{[1
]}

Huang, Hu ^{[1
]}

机构：

[1] Research Institute, CNOOC Ltd.-SHENZHEN, Guangdong, Shenzhen, China

来源：

Frontiers in Energy Research | 2022年 / 10卷

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D O I：

1109184

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[1] Deep-learning-based surrogate model for fast and accurate simulation in pipeline transport (vol 10, 979168, 2022)
Qin, Feng
Yan, Zhenghe
Yang, Peng
Tang, Shenglai
Huang, Hu
FRONTIERS IN ENERGY RESEARCH, 2022, 10
[2] Deep-learning-based surrogate model for fast and accurate simulation in pipeline transport
Chen, Eason
FRONTIERS IN ENERGY RESEARCH, 2022, 10