Corrigendum: Deep-learning-based surrogate model for fast and accurate simulation in pipeline transport

Qin, Feng and Yan, Zhenghe and Yang, Peng and Tang, Shenglai and Huang, Hu (2022) Corrigendum: Deep-learning-based surrogate model for fast and accurate simulation in pipeline transport. Frontiers in Energy Research, 10. ISSN 2296-598X

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Abstract

In the published article, there was an error in the Author list, the author list should be corrected as follows.

“Feng Qin, Zhenghe Yan, Peng Yang, Shenglai Tang and Hu Huang*”

In the published article, there was an error in the Affiliation.

The correct affiliation should be “Research Institute, CNOOC Ltd.-SHENZHEN, Shenzhan, Guangdong, China”

In the published article, there was an error in the Copyright statement. The statement should be corrected as follows.

“[Copyright © [2022] Qin, Yan, Yang, Tang and Huang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.”

Item Type: Article
Subjects: Asian STM > Energy
Depositing User: Managing Editor
Date Deposited: 03 May 2023 05:07
Last Modified: 08 Feb 2024 04:13
URI: http://journal.send2sub.com/id/eprint/1351

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