Romeo, M.; Cottone, G.; D’Oca, M.C.; Bartolotta, A.; Gallo, S.; Miraglia, R.; Gerasia, R.; Milluzzo, G.; Romano, F.; Gagliardo, C.;
et al. Diffusion Correction in Fricke Hydrogel Dosimeters: A Deep Learning Approach with 2D and 3D Physics-Informed Neural Network Models. Gels 2024, 10, 565.
https://doi.org/10.3390/gels10090565
AMA Style
Romeo M, Cottone G, D’Oca MC, Bartolotta A, Gallo S, Miraglia R, Gerasia R, Milluzzo G, Romano F, Gagliardo C,
et al. Diffusion Correction in Fricke Hydrogel Dosimeters: A Deep Learning Approach with 2D and 3D Physics-Informed Neural Network Models. Gels. 2024; 10(9):565.
https://doi.org/10.3390/gels10090565
Chicago/Turabian Style
Romeo, Mattia, Grazia Cottone, Maria Cristina D’Oca, Antonio Bartolotta, Salvatore Gallo, Roberto Miraglia, Roberta Gerasia, Giuliana Milluzzo, Francesco Romano, Cesare Gagliardo,
and et al. 2024. "Diffusion Correction in Fricke Hydrogel Dosimeters: A Deep Learning Approach with 2D and 3D Physics-Informed Neural Network Models" Gels 10, no. 9: 565.
https://doi.org/10.3390/gels10090565
APA Style
Romeo, M., Cottone, G., D’Oca, M. C., Bartolotta, A., Gallo, S., Miraglia, R., Gerasia, R., Milluzzo, G., Romano, F., Gagliardo, C., Di Martino, F., d’Errico, F., & Marrale, M.
(2024). Diffusion Correction in Fricke Hydrogel Dosimeters: A Deep Learning Approach with 2D and 3D Physics-Informed Neural Network Models. Gels, 10(9), 565.
https://doi.org/10.3390/gels10090565
