APA (7th ed.) Citation

Akrom, M., Rustad, S., & Dipojono, H. K. (2024). SMILES-based machine learning enables the prediction of corrosion inhibition capacity. MRS Communications, 14(3), 379. https://doi.org/10.1557/s43579-024-00551-6

Chicago Style (17th ed.) Citation

Akrom, Muhamad, Supriadi Rustad, and Hermawan Kresno Dipojono. "SMILES-based Machine Learning Enables the Prediction of Corrosion Inhibition Capacity." MRS Communications 14, no. 3 (2024): 379. https://doi.org/10.1557/s43579-024-00551-6.

MLA (9th ed.) Citation

Akrom, Muhamad, et al. "SMILES-based Machine Learning Enables the Prediction of Corrosion Inhibition Capacity." MRS Communications, vol. 14, no. 3, 2024, p. 379, https://doi.org/10.1557/s43579-024-00551-6.