5 citations · 11 across the 5 of their papers we have counts for
5 papers
Bayesian Inference of Phenomenological EoS of Neutron Stars with Recent Observations
Emanuel V. Chimanski, Ronaldo V. Lobato, Andre R. Goncalves +1
The description of stellar interior remains as a big challenge for the nuclear astrophysics community. The consolidated knowledge is restricted to density regions around the satura…
Cluster Structures with Machine Learning Support in Neutron Star M-R relations
R. V. Lobato, E. V. Chimanski, C. A. Bertulani
Neutron stars (NS) are compact objects with strong gravitational fields, and a matter composition subject to extreme physical conditions. The properties of strongly interacting mat…
Unsupervised machine learning correlations in EoS of neutron stars
Ronaldo V. Lobato, Emanuel V. Chimanski, Carlos A. Bertulani
Neutron stars are compact objects of large interest in the nuclear astrophysics community. The extreme conditions present in such systems impose big challenges to our current micro…
Inclusive Breakup Cross Sections in Reactions Induced by the Nuclides He and Li in the Two-Body Cluster Model
L. A. Souza, E. V. Chimanski, B. V. Carlson
Calculations of inclusive particle production are performed to interpret reaction experimental data induced by the two-neutron halo He and the isotopes Li on differ…
Four-body eikonal approach to three-body halo nuclei scattering
L. A. Souza, E. V. Chimanski, T. Frederico +2
Halo nuclei projectiles can undergo into a fragmentation process when scattered by a nucleus target. The corresponding core from exotic nuclei is usually observed while the others…