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gr-qc2026
Binary Black Hole Puncture Initial Data with Physics-Informed Neural Networks
Thiago Assumpção, Ignacio Brevis, Irene Pitsiladi +2
We present Pinndorama, a physics-informed neural network (PINN) code for solving the Hamiltonian constraint in the puncture formalism. The networks are trained solely on the govern…
gr-qc2026
Scalar emission from binary neutron stars in scalar-tensor theories with kinetic screening
Ramiro Cayuso, Adrien Kuntz, Thiago Assumpcao +2
We investigate the scalar emission from binary neutron stars in shift-symmetric scalar-tensor theories with kinetic screening (-essence), using 3+1 numerical simulations in the…