Barbosa, R.d.M.; Lima, C.C.; Oliveira, F.F.d.; Câmara, G.B.M.; Viseras, C.; Moura, T.F.A.d.L.e.; Souto, E.B.; Severino, P.; Raffin, F.N.; Fernandes, M.A.C.
New Machine Learning Approach for the Optimization of Nano-Hybrid Formulations. Nanomanufacturing 2022, 2, 82-97.
https://doi.org/10.3390/nanomanufacturing2030007
AMA Style
Barbosa RdM, Lima CC, Oliveira FFd, Câmara GBM, Viseras C, Moura TFAdLe, Souto EB, Severino P, Raffin FN, Fernandes MAC.
New Machine Learning Approach for the Optimization of Nano-Hybrid Formulations. Nanomanufacturing. 2022; 2(3):82-97.
https://doi.org/10.3390/nanomanufacturing2030007
Chicago/Turabian Style
Barbosa, Raquel de M., Cleanne C. Lima, Fabio F. de Oliveira, Gabriel B. M. Câmara, César Viseras, Tulio F. A. de Lima e Moura, Eliana B. Souto, Patricia Severino, Fernanda N. Raffin, and Marcelo A. C. Fernandes.
2022. "New Machine Learning Approach for the Optimization of Nano-Hybrid Formulations" Nanomanufacturing 2, no. 3: 82-97.
https://doi.org/10.3390/nanomanufacturing2030007
APA Style
Barbosa, R. d. M., Lima, C. C., Oliveira, F. F. d., Câmara, G. B. M., Viseras, C., Moura, T. F. A. d. L. e., Souto, E. B., Severino, P., Raffin, F. N., & Fernandes, M. A. C.
(2022). New Machine Learning Approach for the Optimization of Nano-Hybrid Formulations. Nanomanufacturing, 2(3), 82-97.
https://doi.org/10.3390/nanomanufacturing2030007