Dr. Adil Imam

Postdoctoral Researcher · Universidad Andrés Bello · Other

Publications: 11 · Citations: 173 · h-index: 7 · i10-index: 5

Publications

• Bayesian reconstruction of nuclear matter parameters from the equation of state of neutron star matter — Phys.Rev.C, 2022 doi:10.1103/physrevc.105.015806
• Nearly model-independent constraints on dense matter equation of state in a Bayesian approach — Phys.Rev.D, 2022 doi:10.1103/physrevd.106.043024
• Systematic analysis of the impacts of symmetry energy parameters on neutron star properties — Phys.Rev.C, 2023 doi:10.1103/physrevc.107.055804
• Implications of comprehensive nuclear and astrophysics data on the equations of state of neutron star matter — Phys.Rev.D, 2024 doi:10.1103/physrevd.109.103025
• Direct mapping of tidal deformability to the isoscalar and isovector nuclear matter parameters — Phys.Rev.C, 2024 doi:10.1103/physrevc.109.025804
• Calibrating global behavior of equation of state by combining nuclear and astrophysics inputs in a machine learning approach — Phys.Rev.D, 2024 doi:10.1103/physrevd.110.103042
• Bayesian analysis of the neutron star equation of state and model comparison: Insights from PSR J0437+4715, PSR J0614+3329, and other multiphysics data — Phys.Rev.D, 2025 doi:10.1103/2fz9-xlv1
• Exotic decay of ^115Cs — Phys.Rev.C, 2023 doi:10.1103/physrevc.108.064304
• Tests of scalar polarizations with multi-messenger events — 2026
• Sensitivity of Neutron Star Observables to Transition Density in Hybrid Equation-of-State Models — 2026
• NucleiML: A machine learning framework of ground-state properties of finite nuclei for accelerated Bayesian exploration — 2025