Machine Learning-Driven Design of Experiments for CO2 Mineralization of Steel Slag Materials

Hamid Radfarnia, Iris Samputu, Kourosh Zanganeh

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DOI: 10.1021/acsomega.6c07267
Published: 2026-10-19
Container: ACS Omega
Publisher: American Chemical Society (ACS)
Open access: unknown

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Cite this work

BibTeX

@article{allodium:10.1021/acsomega.6c07267,
  title = {Machine Learning-Driven
Design of Experiments for
CO2 Mineralization of Steel Slag Materials},
  author = {Hamid Radfarnia and Iris Samputu and Kourosh Zanganeh},
  year = {2026},
  journal = {ACS Omega},
  doi = {10.1021/acsomega.6c07267},
  url = {https://doi.org/10.1021/acsomega.6c07267}
}

RIS

TY  - JOUR
TI  - Machine Learning-Driven
Design of Experiments for
CO2 Mineralization of Steel Slag Materials
AU  - Hamid Radfarnia
AU  - Iris Samputu
AU  - Kourosh Zanganeh
PY  - 2026
JO  - ACS Omega
DO  - 10.1021/acsomega.6c07267
UR  - https://doi.org/10.1021/acsomega.6c07267
ER  -

APA

Radfarnia, H., Samputu, I., & Zanganeh, K. (2026). Machine Learning-Driven Design of Experiments for CO2 Mineralization of Steel Slag Materials. ACS Omega. https://doi.org/10.1021/acsomega.6c07267

Source records

crossref · retrieved 2026-11-07T20:25:38.442Z