Corrigendum to “Prediction of hydrogen storage in dibenzyltoluene empowered with machine learning” [J. Energy Storage 55, Part D (2022) 105844] (Journal of Energy Storage (2022) 55(PD), (S2352152X22018321), (10.1016/j.est.2022.105844))

  • Hoimyung Choi*
  • , Ahsan Ali
  • , Muhammad Adnan Khan
  • , Naseem Abbas
  • *Corresponding author for this work

Research output: Contribution to journalComment/debate

2 Scopus citations

Abstract

The authors regret not having more careful discussions on authorship during the process of the paper submission, and everyone agreed to change the author's order. It is just changing the order of the authors, not addition or removal. The corresponding authors do not change either. The corrected author's list is as follows. Hoimyung Choia,⁎, Ahsan Alia, Muhammad Adnan Khanb,c, Naseem Abbasd,⁎The authors would like to apologise for any inconvenience caused.

Original languageEnglish
Article number106417
JournalJournal of Energy Storage
Volume58
DOIs
StatePublished - Feb 2023
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2022 The Author(s)

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

ASJC Scopus subject areas

  • Renewable Energy, Sustainability and the Environment
  • Energy Engineering and Power Technology
  • Electrical and Electronic Engineering

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