Gallardo Romero, G.; RodrÃguez-Llorente, G.; Magariños RodrÃguez, L.; Morant Navascués, R.; Khvatkin Petrovsky, N.; Lorenzo Ortega, R.; Gómez-Espinosa MartÃn, R.
Differentiable Deep Learning Surrogate Models Applied to the Optimization of the IFMIF-DONES Facility. Particles 2025, 8, 21.
https://doi.org/10.3390/particles8010021
AMA Style
Gallardo Romero G, RodrÃguez-Llorente G, Magariños RodrÃguez L, Morant Navascués R, Khvatkin Petrovsky N, Lorenzo Ortega R, Gómez-Espinosa MartÃn R.
Differentiable Deep Learning Surrogate Models Applied to the Optimization of the IFMIF-DONES Facility. Particles. 2025; 8(1):21.
https://doi.org/10.3390/particles8010021
Chicago/Turabian Style
Gallardo Romero, Galo, Guillermo RodrÃguez-Llorente, Lucas Magariños RodrÃguez, Rodrigo Morant Navascués, Nikita Khvatkin Petrovsky, Rubén Lorenzo Ortega, and Roberto Gómez-Espinosa MartÃn.
2025. "Differentiable Deep Learning Surrogate Models Applied to the Optimization of the IFMIF-DONES Facility" Particles 8, no. 1: 21.
https://doi.org/10.3390/particles8010021
APA Style
Gallardo Romero, G., RodrÃguez-Llorente, G., Magariños RodrÃguez, L., Morant Navascués, R., Khvatkin Petrovsky, N., Lorenzo Ortega, R., & Gómez-Espinosa MartÃn, R.
(2025). Differentiable Deep Learning Surrogate Models Applied to the Optimization of the IFMIF-DONES Facility. Particles, 8(1), 21.
https://doi.org/10.3390/particles8010021
