Daniel E. Cedeño Girón
Ph.D. student, Università degli Studi di Torino at the doctoral school of Modeling and Data Science
Under the supervision of Prof. Laura Lea Sacerdote and Prof. Bruno Toaldo.
General Scholarship 2023-current.
Master in Science (Physics) - Universidad de Antioquia
Under the supervision of Prof. Johan Mazo Zuluaga.
Estudiante Instructor Scholarship 2020-2022.
Physics - Universidad Surcolombiana
Under the supervision of Prof. Daniel Suescún Díaz.
Research Areas: Stochastic Modeling, Nuclear Fission Reactor Dynamics, Numerical Methods.
Address: Via Carlo Alberto, 10. 10123 Turin, Italy E-mail: dan.ecgr@gmail.com Orcid: 0000-0002-4524-6480
Publications
D. E. Cedeño-Girón, A. A. Nahla, J. Mazo-Zuluaga. Theta method applied to two-energy groups point kinetics equations, Prog. Nucl. Energy 165 (2023) 104892.
D. Suescún-Díaz, D. E. Cedeño-Girón, F. Humberto Escobar. Numerical study for the stochastic equation of point kinetics with sinusoidal reactivity using Milstein schemes, ARPN J. Eng. Appl. Sci. 16 (2021) 1799 - 1802.
D. Suescún-Díaz, D. E. Cedeño-Girón, G. Espinosa-Paredes. On the numerical solution of stochastic point kinetics equations with feedback effects using the implicit Milstein method with step external reactivity, ARPN J. Eng. Appl. Sci. 15 (2020) 2868 - 2874.
D. Suescún-Díaz, D. E. Cedeño-Girón, F. Humberto Escobar. Approximation to the covariance matrix for stochastic point kinetics, ARPN J. Eng. Appl. Sci. 15 (2020) 497-504.
D. Suescún-Díaz, D. E. Cedeño-Girón, D. Peña Lara. Milstein scheme applied to stochastic point kinetics, J. Eng. Appl. Sci. 15 (2020) 107-113.
D. Suescún-Díaz, D. E. Cedeño-Girón, F. Humberto Escobar. Solving the stochastic point-kinetic equations using Milstein's method from the Itô lemma, ARPN J. Eng. Appl. Sci. 14 (2019) 4000-4006.