Publisher Correction: Neural Network Modeling of Process–Structure Relationships and Abnormal Grain Growth in Polycrystalline Ni-Base Superalloys Through Domain Knowledge-Informed Feature Engineering (Metallurgical and Materials Transactions A, (2026), 10.1007/s11661-025-08104-9)

Pascal Thome; Luis F. Arciniaga; Cécile F. Hohenadel; Owen Lowery; Sammy Tin

doi:10.1007/s11661-026-08167-2

Publisher Correction: Neural Network Modeling of Process–Structure Relationships and Abnormal Grain Growth in Polycrystalline Ni-Base Superalloys Through Domain Knowledge-Informed Feature Engineering (Metallurgical and Materials Transactions A, (2026), 10.1007/s11661-025-08104-9)

Pascal Thome
, Luis F. Arciniaga
, Cécile F. Hohenadel
, Owen Lowery
, Sammy Tin

Materials Science & Engr

Research output: Contribution to journal › Comment/debate › peer-review

Abstract

In the original online version of this article, the typesetter released the incorrect version of the article's PDF file. The HTML is correct. This error was corrected. The publisher regrets the error.

Original language	English (US)
Journal	Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science
DOIs	https://doi.org/10.1007/s11661-026-08167-2
State	Accepted/In press - 2026

ASJC Scopus subject areas

Condensed Matter Physics
Mechanics of Materials
Metals and Alloys

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Thome, P., Arciniaga, L. F., Hohenadel, C. F., Lowery, O., & Tin, S. (Accepted/In press). Publisher Correction: Neural Network Modeling of Process–Structure Relationships and Abnormal Grain Growth in Polycrystalline Ni-Base Superalloys Through Domain Knowledge-Informed Feature Engineering (Metallurgical and Materials Transactions A, (2026), 10.1007/s11661-025-08104-9). Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science. https://doi.org/10.1007/s11661-026-08167-2

Publisher Correction: Neural Network Modeling of Process–Structure Relationships and Abnormal Grain Growth in Polycrystalline Ni-Base Superalloys Through Domain Knowledge-Informed Feature Engineering (Metallurgical and Materials Transactions A, (2026), 10.1007/s11661-025-08104-9). / Thome, Pascal; Arciniaga, Luis F.; Hohenadel, Cécile F. et al.
In: Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science, 2026.

Research output: Contribution to journal › Comment/debate › peer-review

Thome, P, Arciniaga, LF, Hohenadel, CF, Lowery, O & Tin, S 2026, 'Publisher Correction: Neural Network Modeling of Process–Structure Relationships and Abnormal Grain Growth in Polycrystalline Ni-Base Superalloys Through Domain Knowledge-Informed Feature Engineering (Metallurgical and Materials Transactions A, (2026), 10.1007/s11661-025-08104-9)', Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science. https://doi.org/10.1007/s11661-026-08167-2

Thome P, Arciniaga LF, Hohenadel CF, Lowery O, Tin S. Publisher Correction: Neural Network Modeling of Process–Structure Relationships and Abnormal Grain Growth in Polycrystalline Ni-Base Superalloys Through Domain Knowledge-Informed Feature Engineering (Metallurgical and Materials Transactions A, (2026), 10.1007/s11661-025-08104-9). Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science. 2026. doi: 10.1007/s11661-026-08167-2

Thome, Pascal ; Arciniaga, Luis F. ; Hohenadel, Cécile F. et al. / Publisher Correction : Neural Network Modeling of Process–Structure Relationships and Abnormal Grain Growth in Polycrystalline Ni-Base Superalloys Through Domain Knowledge-Informed Feature Engineering (Metallurgical and Materials Transactions A, (2026), 10.1007/s11661-025-08104-9). In: Metallurgical and Materials Transactions A: Physical Metallurgy and Materials Science. 2026.

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N2 - In the original online version of this article, the typesetter released the incorrect version of the article's PDF file. The HTML is correct. This error was corrected. The publisher regrets the error.

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Publisher Correction: Neural Network Modeling of Process–Structure Relationships and Abnormal Grain Growth in Polycrystalline Ni-Base Superalloys Through Domain Knowledge-Informed Feature Engineering (Metallurgical and Materials Transactions A, (2026), 10.1007/s11661-025-08104-9)

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