| Inverse magnetic catalysis in the (2+ 1)-flavor Nambu–Jona-Lasinio and Polyakov–Nambu–Jona-Lasinio models M Ferreira, P Costa, O Lourenço, T Frederico, C Providência Physical Review D 89 (11), 116011, 2014 | 256 | 2014 |
| Deconfinement and chiral restoration within the SU (3) Polyakov–Nambu–Jona-Lasinio and entangled Polyakov–Nambu–Jona-Lasinio models in an external magnetic field M Ferreira, P Costa, DP Menezes, C Providência, NN Scoccola Physical Review D 89 (1), 016002, 2014 | 147 | 2014 |
| Relativistic description of dense matter equation of state and compatibility with neutron star observables: a Bayesian approach T Malik, M Ferreira, BK Agrawal, C Providência The Astrophysical Journal 930 (1), 17, 2022 | 70 | 2022 |
| Phase transition and critical end point driven by an external magnetic field in asymmetric quark matter P Costa, M Ferreira, H Hansen, DP Menezes, C Providência Physical Review D 89 (5), 056013, 2014 | 61 | 2014 |
| Deconfinement, chiral symmetry restoration and thermodynamics of (2+ 1)-flavor hot QCD matter in an external magnetic field M Ferreira, P Costa, C Providência Physical Review D 89 (3), 036006, 2014 | 55 | 2014 |
| Neutron stars with large quark cores M Ferreira, RC Pereira, C Providência arXiv preprint arXiv:2005.10543, 2020 | 52 | 2020 |
| Spanning the full range of neutron star properties within a microscopic description T Malik, M Ferreira, MB Albino, C Providência Physical Review D 107 (10), 103018, 2023 | 44 | 2023 |
| Influence of the inverse magnetic catalysis and the vector interaction in the location of the critical end point P Costa, M Ferreira, DP Menezes, J Moreira, C Providência Physical Review D 92 (3), 036012, 2015 | 44 | 2015 |
| Unveiling the nuclear matter EoS from neutron star properties: a supervised machine learning approach M Ferreira, C Providência Journal of Cosmology and Astroparticle Physics 2021 (07), 011, 2021 | 43 | 2021 |
| Quark matter in light neutron stars M Ferreira, RC Pereira, C Providência Physical Review D 102 (8), 083030, 2020 | 41 | 2020 |
| Artificial Intelligence and Quantum Computing as the Next Pharma Disruptors T Cova, C Vitorino, M Ferreira, S Nunes, P Rondon-Villarreal, A Pais Artificial Intelligence in Drug Design, 321-347, 2022 | 35 | 2022 |
| Description of light clusters in relativistic nuclear models M Ferreira, C Providência Physical Review C—Nuclear Physics 85 (5), 055811, 2012 | 34 | 2012 |
| Strange quark chiral phase transition in hot 2+ 1-flavor magnetized quark matter M Ferreira, P Costa, C Providência Physical Review D 90 (1), 016012, 2014 | 31 | 2014 |
| Empirical constraints on the high-density equation of state from multimessenger observables M Ferreira, M Fortin, T Malik, BK Agrawal, C Providência Physical Review D 101 (4), 043021, 2020 | 28 | 2020 |
| Light clusters and pasta phases in warm and dense nuclear matter SS Avancini, M Ferreira, H Pais, C Providência, G Röpke Physical Review C 95 (4), 045804, 2017 | 26 | 2017 |
| Extracting nuclear matter properties from the neutron star matter equation of state using deep neural networks M Ferreira, V Carvalho, C Providência Physical Review D 106 (10), 103023, 2022 | 24 | 2022 |
| Determination of the symmetry energy from the neutron star equation of state PB de Tovar, M Ferreira, C Providência Physical Review D 104 (12), 123036, 2021 | 24 | 2021 |
| Constraints on high density equation of state from maximum neutron star mass M Ferreira, C Providência Physical Review D 104 (6), 063006, 2021 | 24 | 2021 |
| Identification of binary neutron star mergers in gravitational-wave data using object-detection machine learning models J Aveiro, FF Freitas, M Ferreira, A Onofre, C Providência, G Gonçalves, ... Physical Review D 106 (8), 084059, 2022 | 23 | 2022 |
| Decoding neutron star observations: Revealing composition through Bayesian neural networks V Carvalho, M Ferreira, T Malik, C Providência Physical Review D 108 (4), 043031, 2023 | 21 | 2023 |
