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physics.comp-ph2025
Reconstructing Relativistic Magnetohydrodynamics with Physics-Informed Neural Networks
Corwin Cheung, Marcos Johnson-Noya, Michael Xiang +2
We construct the first physics-informed neural-network (PINN) surrogates for relativistic magnetohydrodynamics (RMHD) using a hybrid PDE and data-driven workflow. Instead of traini…
hep-th2025
New Near Extremal Black Holes and Love Symmetry
Alfredo Guevara, Uri Kol
Rotating and charged black holes are known to exhibit remarkable properties close to extremality, including emergent hidden symmetries and holographic duality to 2D theories. In th…
hep-th2025
Generating Hodges' Graviton MHV Formula with an Ward Identity
Alfredo Guevara, Elizabeth Himwich, Noah Miller
Hodges' formula expresses the tree-level all-multiplicity Einstein gravity MHV amplitude as a matrix determinant. In this work, we prove that Hodges' determinant is generated by an…