APA   Click to copy
Quadri, T. W., Olasunkanmi, L. O., Fayemi, O. E., Akpan, E. D., Lee, H.-S., Lgaz, H., … Ebenso, E. E. (2022). Multilayer perceptron neural network-based QSAR models for the assessment and prediction of corrosion inhibition performances of ionic liquids. Computational Materials Science, 214. https://doi.org/10.1016/j.commatsci.2022.111753

Chicago/Turabian   Click to copy
Quadri, Taiwo W., Lukman O. Olasunkanmi, Omolola E. Fayemi, Ekemini D. Akpan, Han-Seung Lee, Hassane Lgaz, Chandrabhan Verma, Lei Guo, Savaş Kaya, and Eno E. Ebenso. “Multilayer Perceptron Neural Network-Based QSAR Models for the Assessment and Prediction of Corrosion Inhibition Performances of Ionic Liquids.” Computational Materials Science 214 (2022).

MLA   Click to copy
Quadri, Taiwo W., et al. “Multilayer Perceptron Neural Network-Based QSAR Models for the Assessment and Prediction of Corrosion Inhibition Performances of Ionic Liquids.” Computational Materials Science, vol. 214, 2022, doi:10.1016/j.commatsci.2022.111753.

@article{quadri2022a,
  title = {Multilayer perceptron neural network-based QSAR models for the assessment and prediction of corrosion inhibition performances of ionic liquids},
  year = {2022},
  journal = {Computational Materials Science},
  volume = {214},
  doi = {10.1016/j.commatsci.2022.111753},
  author = {Quadri, Taiwo W. and Olasunkanmi, Lukman O. and Fayemi, Omolola E. and Akpan, Ekemini D. and Lee, Han-Seung and Lgaz, Hassane and Verma, Chandrabhan and Guo, Lei and Kaya, Savaş and Ebenso, Eno E.}
}