3 citations · 3 across the 2 of their papers we have counts for
2 papers
hep-ph2026
Solving stiff dark matter equations via Jacobian Normalization with Physics-Informed Neural Networks
M. P. Bento, H. B. Câmara, J. R. Rocha +1
Stiff differential equations pose a major challenge for Physics-Informed Neural Networks (PINNs), often causing poor convergence. We propose a simple, hyperparameter-free method to…
hep-ph2025★ 3 cited
Unraveling particle dark matter with Physics-Informed Neural Networks
M. P. Bento, H. B. Câmara, J. F. Seabra
We parametrically solve the Boltzmann equations governing freeze-in dark matter (DM) in alternative cosmologies with Physics-Informed Neural Networks (PINNs), a mesh-free method. T…