Javier Matulich

Gravity-Informed Neural Networks for Post-Newtonian Binary Dynamics

We introduce a gravity-informed neural-network (GravINNs) framework for learning post-Newtonian binary orbital dynamics. The method incorporates the equations of motion directly into the training phase and is developed at three complementary levels. First, we construct single-orbit surrogates for conservative post-Newt...