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Editorial Note

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Editorial Note: Machine learning driven optimization of compressive strength of 3D printed bio polymer composite material

  • The PLOS One Editors

The PLOS One Editors issue this Editorial Note to inform readers of concerns regarding compliance with PLOS Authorship policy for this article [1]. We regret that the issues were not addressed prior to the article’s publication.

Reference

  1. 1. Jayaram RS, Saravanamuthukumar P, Abdullah AB, Krishnamoorthy R, Kunar S, Yong X, et al. Machine learning driven optimization of compressive strength of 3D printed bio polymer composite material. PLoS One. 2025;20(8):e0330625. pmid:40875778

Citation: The PLOS One Editors (2026) Editorial Note: Machine learning driven optimization of compressive strength of 3D printed bio polymer composite material. PLoS One 21(1): e0339818. https://doi.org/10.1371/journal.pone.0339818

Published: January 6, 2026

Copyright: © 2026 The PLOS One Editors. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.