84 citations · 115 across the 10 of their papers we have counts for
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Towards solving General Relativity with Physics-Informed Neural Networks
Juan A. Carretero, Jorge F. Urbán, Fernando Abalos +4
Physics-Informed Neural Networks (PINNs) are a machine-learning framework for approximating solutions to systems of partial differential equations by constraining neural networks t…
MHDuet : a high-order General Relativistic Radiation MHD code for CPU and GPU architectures
Carlos Palenzuela, Miguel Bezares, Steven Liebling +12
We present MHDuet, an open source evolution code for general relativistic magnetohydrodynamics with neutrino transport. The code solves the full set of Einstein equations coupled t…
Nonlinear Stability of Rotating Hairy Black Holes
Juan A. Carretero, Philippe Grandclément, Carlos Palenzuela +1
Rotating hairy black holes (RHBHs) are axisymmetric equilibrium solutions of the Einstein--Klein--Gordon equations, consisting of a spinning black hole surrounded by a toroidal dis…
Neutron star evolution with the Bemfica-Disconzi-Noronha-Kovtun viscous hydrodynamics framework
Harry L. H. Shum, Fernando Abalos, Yago Bea +3
The recently proposed first-order viscous relativistic hydrodynamics formulation by Bemfica, Disconzi, Noronha, and Kovtun (commonly known as the BDNK formulation) has been shown t…
Global high-order numerical schemes for the time evolution of the general relativistic radiation magneto-hydrodynamics equations
Manuel R. Izquierdo, Lorenzo Pareschi, Borja Miñano +2
Modeling correctly the transport of neutrinos is crucial in some astrophysical scenarios such as core-collapse supernovae and binary neutron star mergers. In this paper, we focus o…