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Corrigendum to “Using machine learning for comparative optimizing a novel integration of molten carbonate and solid oxide fuel cells with CO2 recovering and gasification” [Int. J. Hydrogen Energy 48 97 (15 December 2023) 38454–38472] (International Journal of Hydrogen Energy (2023) 48(97) (38454–38472), (S0360319923030173), (10.1016/j.ijhydene.2023.06.138))

  • Tao Hai
  • , Farhan A. Alenizi
  • , Muhsin H. Ubeid
  • , Vishal Goyal
  • , Fahad Mohammed Alhomayani
  • , Ahmed Sayed Mohammed Metwally
  • Qiannan Normal College for Nationalities
  • Ankang University
  • University of Wolverhampton
  • Prince Sattam Bin Abdulaziz University
  • Cihan University-Erbil
  • GLA University
  • Taif University
  • King Saud University

Research output: Contribution to journalComment/debate

Abstract

The authors regret < Upon a detailed review of our work post-publication, we discovered that several references cited within the manuscript do not accurately support the corresponding statements. Specifically, references [32], [41], [42], [45], [46], [47], [48], [49], [50], [63], [64], among others, were mistakenly cited in contexts that are not relevant to their content. We deeply regret any confusion or inconvenience caused by these errors. To rectify this situation, we kindly request the journal to initiate the process of correcting the references in our published article by removing the incorrect references that do not pertain to the statements they are cited for. We are fully committed to maintaining the integrity and accuracy of our work and believe that making these corrections will uphold the scientific standards of the International Journal of Hydrogen Energy. We sincerely apologize for this oversight and appreciate your understanding and assistance in correcting these errors. These corrections do not affect the overall conclusions of our manuscript.>.

Original languageEnglish
Pages (from-to)901
Number of pages1
JournalInternational Journal of Hydrogen Energy
Volume95
DOIs
StatePublished - 18 Dec 2024
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

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