Data-driven prediction of thin-film metallic glass forming ability <i>via</i> Bayesian classification and experimental verification in the Cu–Zr–Al system

Xuliang Luo, Tero Mäkinen, Wenyi Huo, Silvia Bonfanti, Zhehao Chen, Kenichiro Mizohata, Kostas Sarakinos, Mikko Alava

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DOI: 10.1039/d6ra07674b
Published: 2026
Container: RSC Advances
Publisher: Royal Society of Chemistry (RSC)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1039/d6ra07674b,
  title = {Data-driven prediction of thin-film metallic glass forming ability
                    <i>via</i>
                    Bayesian classification and experimental verification in the Cu–Zr–Al system},
  author = {Xuliang Luo and Tero Mäkinen and Wenyi Huo and Silvia Bonfanti and Zhehao Chen and Kenichiro Mizohata and Kostas Sarakinos and Mikko Alava},
  year = {2026},
  journal = {RSC Advances},
  doi = {10.1039/d6ra07674b},
  url = {https://doi.org/10.1039/d6ra07674b}
}

RIS

TY  - JOUR
TI  - Data-driven prediction of thin-film metallic glass forming ability
                    <i>via</i>
                    Bayesian classification and experimental verification in the Cu–Zr–Al system
AU  - Xuliang Luo
AU  - Tero Mäkinen
AU  - Wenyi Huo
AU  - Silvia Bonfanti
AU  - Zhehao Chen
AU  - Kenichiro Mizohata
AU  - Kostas Sarakinos
AU  - Mikko Alava
PY  - 2026
JO  - RSC Advances
DO  - 10.1039/d6ra07674b
UR  - https://doi.org/10.1039/d6ra07674b
ER  -

APA

Luo, X., Mäkinen, T., Huo, W., Bonfanti, S., Chen, Z., Mizohata, K., Sarakinos, K., & Alava, M. (2026). Data-driven prediction of thin-film metallic glass forming ability <i>via</i> Bayesian classification and experimental verification in the Cu–Zr–Al system. RSC Advances. https://doi.org/10.1039/d6ra07674b

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crossref · retrieved 2026-09-25T08:02:13.429Z