Predicting grain growth kinetic in steels using machine learning and XAI for mechanical properties.

Demirci S, Şahin DÖ, Demirci S, Tünçay MM, Attallah MM

Open source

DOI
10.1371/journal.pone.0341053
Published
2026
Container
PloS one
Publisher
Not recorded
Open access
yes

Credibility signals

limited evidence Score 45/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.

Show all credibility signals

Cite this work

BibTeX

@article{allodium:10.1371/journal.pone.0341053,
  title = {Predicting grain growth kinetic in steels using machine learning and XAI for mechanical properties.},
  author = {Demirci S and Şahin DÖ and Demirci S and Tünçay MM and Attallah MM},
  year = {2026},
  journal = {PloS one},
  doi = {10.1371/journal.pone.0341053},
  url = {https://doi.org/10.1371/journal.pone.0341053}
}

RIS

TY  - JOUR
TI  - Predicting grain growth kinetic in steels using machine learning and XAI for mechanical properties.
AU  - Demirci S
AU  - Şahin DÖ
AU  - Demirci S
AU  - Tünçay MM
AU  - Attallah MM
PY  - 2026
JO  - PloS one
DO  - 10.1371/journal.pone.0341053
UR  - https://doi.org/10.1371/journal.pone.0341053
ER  - 

APA

S, D., DÖ, Ş., S, D., MM, T., & MM, A. (2026). Predicting grain growth kinetic in steels using machine learning and XAI for mechanical properties.. PloS one. https://doi.org/10.1371/journal.pone.0341053

Source records