Journal article
The Journal of Organic Chemistry, vol. 90(28), 2025, pp. 9776-9788
          APA  
          
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          Melo, D. U., Carneiro, L. M., Coutinho-Neto, M. D., Homem-de-Mello, P., & Bartoloni, F. H. (2025). Developing a Machine Learning Model for Hydrogen Bond Acceptance Based on Natural Bond Orbital Descriptors. The Journal of Organic Chemistry, 90(28), 9776–9788. https://doi.org/10.1021/acs.joc.5c00724     
        
          Chicago/Turabian  
          
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          Melo, Diego Ulysses, Leonardo Martins Carneiro, Mauricio Domingues Coutinho-Neto, Paula Homem-de-Mello, and Fernando Heering Bartoloni. “Developing a Machine Learning Model for Hydrogen Bond Acceptance Based on Natural Bond Orbital Descriptors.” The Journal of Organic Chemistry 90, no. 28 (2025): 9776–9788.
        
          MLA  
          
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          Melo, Diego Ulysses, et al. “Developing a Machine Learning Model for Hydrogen Bond Acceptance Based on Natural Bond Orbital Descriptors.” The Journal of Organic Chemistry, vol. 90, no. 28, 2025, pp. 9776–88, doi:10.1021/acs.joc.5c00724     .
        
BibTeX Click to copy
@article{diego2025a,
  title = {Developing a Machine Learning Model for Hydrogen Bond Acceptance Based on Natural Bond Orbital Descriptors},
  year = {2025},
  issue = {28},
  journal = {The Journal of Organic Chemistry},
  pages = {9776-9788},
  volume = {90},
  doi = {10.1021/acs.joc.5c00724     },
  author = {Melo, Diego Ulysses and Carneiro, Leonardo Martins and Coutinho-Neto, Mauricio Domingues and Homem-de-Mello, Paula and Bartoloni, Fernando Heering}
}