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Retraction: AI-assisted design of lightweight and strong 3D-printed wheels for electric vehicles

  • The PLOS One Editors

After this article [1] was published, concerns were raised regarding the similarity to previous work [2] by different authors and that was not cited in [1].

Specifically, the overall concept, objectives, proposed approach, study design, and methodology appear highly similar to work reported in a published article [2]. The Methodology and Results and Discussion sections, including multiple figures reported in [1], appear very similar to content previously reported in [2], including several identical numerical values, though some text and figures are not identical.

In response to these concerns, the corresponding author stated that [2] was used as a basis for [1].

In light of the concerns about similarities between this article [1] and the previous work [2], the PLOS One Editors retract this article.

TOA, OOA, SAA, and AOO agreed with the retraction. AR and MOA either did not respond directly or could not be reached.

The retracted article [1] was removed from the PLOS One website at the time of retraction due to the similarities to [2]. The article’s Copyright and Data Availability statements were also updated at the time of retraction, and the removed contents are no longer offered under the Creative Commons Attribution License.

References

  1. 1. Akande TO, Alabi OO, Rizwan A, Ajagbe SA, Olaleye AO, Adigun MO. AI-assisted design of lightweight and strong 3D-printed wheels for electric vehicles. PLoS One. 2024;19(12):e0308004. pmid:39621677
  2. 2. Yoo S, Lee S, Kim S, Hwang KH, Park JH, Kang N. Integrating deep learning into CAD/CAE system: generative design and evaluation of 3D conceptual wheel. Struct Multidisc Optim. 2021;64(4):2725–47.