APA (7th ed.) Citation

Trisnapradika, G. A., Akrom, M., Rustad, S., Dipojono, H. K., Maezono, R., & Kasai, H. (2025). A machine learning approach for forecasting the efficacy of pyridazine corrosion inhibitors. Theoretical Chemistry Accounts: Theory, Computation, & Modeling, 144(1), 1. https://doi.org/10.1007/s00214-024-03165-2

Chicago Style (17th ed.) Citation

Trisnapradika, Gustina Alfa, Muhamad Akrom, Supriadi Rustad, Hermawan Kresno Dipojono, Ryo Maezono, and Hideaki Kasai. "A Machine Learning Approach for Forecasting the Efficacy of Pyridazine Corrosion Inhibitors." Theoretical Chemistry Accounts: Theory, Computation, & Modeling 144, no. 1 (2025): 1. https://doi.org/10.1007/s00214-024-03165-2.

MLA (9th ed.) Citation

Trisnapradika, Gustina Alfa, et al. "A Machine Learning Approach for Forecasting the Efficacy of Pyridazine Corrosion Inhibitors." Theoretical Chemistry Accounts: Theory, Computation, & Modeling, vol. 144, no. 1, 2025, p. 1, https://doi.org/10.1007/s00214-024-03165-2.