Correction: Machine learning and shap-based prediction of multifactor thermal-oxidative aging behavior in glass fiber reinforced polyamide6

Hui Zhan; Jie Liu; Senhua Zhan; Bo Wu; Tongfei Shi

doi:10.20517/jmi.2026.66

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Correction Open Access 12 Aug 2026

Correction: Machine learning and shap-based prediction of multifactor thermal-oxidative aging behavior in glass fiber reinforced polyamide6

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Hui Zhan^1,#

,

Jie Liu^2,#

, ...

Tongfei Shi^1,*

J. Mater. Inf. 2026, 6, 40. 10.20517/jmi.2026.66

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In the original publication^[1], the authors mistakenly included the wrong figure. To rectify this error, the following correction has been made.

On page 4, Figure 1 should be replaced.

The corrected version of Figure 1 is shown as follows:

Correction: Machine learning and shap-based prediction of multifactor thermal-oxidative aging behavior in glass fiber reinforced polyamide6

Figure 1. Schematic illustration of the dynamic thermal-oxidative aging device with multi-factor coupling control.

REFERENCES

1. Zhan, H.; Liu, J.; Zhan, S.; Wu, B.; Shi, T. Machine learning and shap-based prediction of multifactor thermal-oxidative aging behavior in glass fiber reinforced polyamide6. J. Mater. Inf. 2026, 6, 25.

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Correction

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Correction: Machine learning and shap-based prediction of multifactor thermal-oxidative aging behavior in glass fiber reinforced polyamide6

How to Cite

Zhan, H.; Liu, J.; Zhan, S.; Wu, B.; Shi, T. Correction: Machine learning and shap-based prediction of multifactor thermal-oxidative aging behavior in glass fiber reinforced polyamide6. J. Mater. Inf. 2026, 6, 40. https://dx.doi.org/10.20517/jmi.2026.66

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DOI: https://doi.org/10.20517/jmi.2026.66

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